Data Entry Jobs in Saudi

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Huxley is seeking a <strong style="font-weight:700;">Data Delivery Lead</strong> to join a growing Data &amp; Insights function within a leading financial services organisation in Riyadh. This full-time role is a hybrid position, combining responsibilities in Service Delivery Management, Agile Delivery, and Product Ownership. The successful candidate will manage demand across the data team, ensuring work is prioritised, delivered on time, and aligned with business objectives.</p> <p style="margin:0 0 12px; ************;">This position serves as a central point of coordination between business stakeholders, data teams, and technology functions. The role focuses on bringing structure, visibility, and governance to an evolving data delivery environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Own and manage the Data &amp; Insights team backlog.</li> <li style="margin:0 0 6px;">Prioritise incoming demand across BAU and transformation initiatives.</li> <li style="margin:0 0 6px;">Facilitate Agile ceremonies, including daily stand-ups, backlog grooming, and planning sessions.</li> <li style="margin:0 0 6px;">Drive effective workload management and resource allocation.</li> <li style="margin:0 0 6px;">Remove delivery blockers and manage dependencies across teams.</li> <li style="margin:0 0 6px;">Work closely with business stakeholders to refine requirements and ensure clarity before work enters the backlog.</li> <li style="margin:0 0 6px;">Track risks, issues, and actions to support successful delivery.</li> <li style="margin:0 0 6px;">Improve delivery processes, governance, and reporting.</li> <li style="margin:0 0 6px;">Support the continued adoption and optimisation of Jira and Agile ways of working.</li> <li style="margin:0 0 6px;">Help bridge priorities between BAU and transformation workstreams.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Proven experience in a Delivery Manager, Agile Delivery Manager, Scrum Master, Product Owner, or similar role.</li> <li style="margin:0 0 6px;">Experience working within Data, Analytics, Business Intelligence, or Insights teams.</li> <li style="margin:0 0 6px;">Strong understanding of Agile delivery methodologies, including Scrum and Kanban.</li> <li style="margin:0 0 6px;">Experience managing backlogs, prioritisation, and stakeholder demand.</li> <li style="margin:0 0 6px;">Excellent stakeholder management and communication skills.</li> <li style="margin:0 0 6px;">Experience using Jira or similar workflow management tools.</li> <li style="margin:0 0 6px;">Ability to work in fast-paced environments and manage competing priorities.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Background</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience in Banking or Financial Services.</li> <li style="margin:0 0 6px;">Exposure to Data Governance, Data Quality, or Data Lineage initiatives.</li> <li style="margin:0 0 6px;">Experience supporting data transformation programmes.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Candidate Profile</h3> <p style="margin:0 0 12px; ************;">The ideal candidate will bring structure to a busy data environment. This role requires a natural organiser, facilitator, and problem solver, capable of balancing stakeholder expectations while ensuring the team remains focused on delivering high-value outcomes.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Location and Employment Type</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Program: Enterprise Data Lakehouse Implementation (Expansion, Remediation &amp; Operationalization) Domain: Banking &amp; Financial Services (BFSI) Immediately available candidate preferred</p><p>Role Summary</p><p>My client is seeking an experienced Cloudera Technical Architect to lead the design, optimization, and governance of a large-scale Enterprise Data Lakehouse platform. The role will focus on ensuring platform scalability, security, performance, and operational excellence while supporting remediation of existing implementations and future expansion initiatives.</p><p><b>Key Responsibilities</b>:</p><ul><li>Design and govern Cloudera CDP architecture aligned with enterprise Data Lakehouse standards.</li><li>Define architecture patterns for batch, streaming, and analytics workloads.</li><li>Lead performance optimization across Spark, Hive, Impala, and YARN environments.</li><li>Architect and support real-time data ingestion using Kafka and NiFi.</li><li>Implement and enforce security controls using Ranger, Kerberos, encryption, and access governance.</li><li>Review existing Cloudera implementations, identify gaps, and drive remediation initiatives.</li><li>Define monitoring, high availability, disaster recovery, and operational best practices.</li><li>Collaborate with architects, engineering teams, and business stakeholders to ensure successful platform delivery.</li></ul><p>Required Skills:</p><ul><li>Strong expertise in Cloudera Data Platform (CDP)</li><li>Hands-on experience with:<ul><li>HDFS, Spark, Hive, Impala</li><li>Kafka, NiFi</li><li>Ozone, HBase, Kudu</li><li>Iceberg, Hive Metastore</li><li>Ranger, Knox, Kerberos</li><li>Cloudera Manager and Cloudera AI</li></ul></li><li>Strong knowledge of cluster sizing, capacity planning, workload management, and performance tuning.</li><li>Experience implementing secure, highly available, enterprise-scale data platforms.</li></ul><p>Experience:</p><ul><li>10-15+ years of experience in Big Data and Data Platform technologies.</li><li>Proven experience architecting and optimizing large-scale Cloudera environments.</li><li>Banking/BFSI or other regulated industry experience preferred.</li><li>Experience working with onsite and offshore delivery teams.</li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Skills:</p><ul><li>Strong expertise in Cloudera Data Platform (CDP)</li><li>Hands-on experience with:<ul><li>HDFS, Spark, Hive, Impala</li><li>Kafka, NiFi</li><li>Ozone, HBase, Kudu</li><li>Iceberg, Hive Metastore</li><li>Ranger, Knox, Kerberos</li><li>Cloudera Manager and Cloudera AI</li></ul></li><li>Strong knowledge of cluster sizing, capacity planning, workload management, and performance tuning.</li><li>Experience implementing secure, highly available, enterprise-scale data platforms.</li></ul><p>Experience:</p><ul><li>10-15+ years of experience in Big Data and Data Platform technologies.</li><li>Proven experience architecting and optimizing large-scale Cloudera environments.</li><li>Banking/BFSI or other regulated industry experience preferred.</li><li>Experience working with onsite and offshore delivery teams.</li></ul><p></p></section>

<p>Utilizes Geographic Information Systems (GIS) principles, techniques, and analyses to complete a wide variety of difficult and complex assignments. Creates, maintains, updates, and reviews GIS databases in support of various projects. Produces detailed maps providing spatial analysis to inform decision-making processes.</p><p>What You'll Be Doing:</p><p>Leads the preparation, review, and execution of GIS implementation/management plans at the program/project level. Leads, creates and maintains digital maps for various projects using GIS capabilities. Leads effective data analysis, input and data cleansing to uncover patterns, trends, and insights in geospatial data to improve the quality and accuracy of geospatial data. Leads geoprocessing techniques to manipulate and analyze geospatial data, creating new information to solve geographical problems. Leads the definition of topology rules to enforce data integrity and accuracy. Leads efforts to advance data completeness for reliable spatial analysis and decision-making. Leads basic and advanced editing and digitization to achieve accurate conversion of analog maps or geospatial data into digital format. Leads the responsible usage of desktop and web applications for spatial analysis and data sharing. Leads the usage of workbenches for transforming and converting geospatial data. Develops custom GIS applications to support team in determining solutions to identified spatial problems. Drafts special provisions and reviews for system and database for compliance, with oversight. Provides technical guidance and training to team members in work production efforts including reviewing GIS deliverables, contributing to training manuals/videos for GIS software, and guide task team s usage of systems, software, and databases. Provides technical guidance, training and coaching to junior staff on GIS software and applications. Checks deliverables from equal or less-experienced team members. May perform in an advisory capacity to senior management and production staff on related work matters. Assists team in responding to client queries and requests. Provides input to clients/others working on same project. Collaborates with project teams to lead spatial data/analysis for decision making. Interfaces with other departments regularly, on matters relating to work assignments.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Engineering, data management or a related field from an accredited university. Minimum 10 years experience in GIS on large-scale projects and infrastructure projects. Licenses and Certifications GIS related certification is preferred.</p><p>work closely with the Master planning and Landscape teams to define and manage technical GIS workflows that enhance and improve our current procedures; Perform a wide variety of GIS tasks, including designing, developing, and implementing systems and databases to maintain geospatial data, conducting geospatial analysis, creating maps, processing field data, and confirming quality control. Additionally, you will support the studio with other day-to-day requirements in CAD, BIM and MicroStation works. Experience of working internationally (preference for KSA).</p>

Job Description :PCMCS Consultant (Profitability and Cost Management Cloud Service) Location: Riyadh, KSAExperience : 5+ Years Job Description: Design, develop, and implement Oracle PCMCS (Profitability and Cost Management Cloud Service) solutions to support cost allocation and profitability analysis. Configure and manage allocation rules, rule sets, and calculation logic within PCMCS. Develop and maintain business rules, driver-based allocations, and multi-stage cost allocations. Work with finance and business users to gather requirements and translate them into PCMCS models and calculations. Perform data integration and data loading using Data Management / FDMEE or other integration tools. Build and maintain profitability models, hierarchies, dimensions, and metadata. Create and manage reports, dashboards, and analysis views using PCMCS and Smart View. Optimize application performance and ensure efficient execution of allocation processes. Support monthly/quarterly financial close processes with accurate cost allocations and reporting. Troubleshoot and resolve issues related to calculations, data loads, and system performance. Conduct unit testing, SIT, UAT, and assist with deployments across environments. Maintain technical and functional documentation for models and processes. Ensure compliance with financial standards, governance, and audit requirements Strong hands-on experience in Oracle PCMCS (EPM Cloud). Solid understanding of cost allocation methodologies and profitability analysis. Experience in configuring allocation rules, driver-based costing, and multi-dimensional models. Knowledge of financial processes such as GL, cost accounting, and profitability reporting. Experience with Data Management (FDMEE) / Data integration tools. Good understanding of EPM dimensions, hierarchies, and metadata management. Familiarity with Smart View, reporting, and data analysis tools. Basic knowledge of SQL and data handling concepts. Strong analytical and problem-solving skills. Good communication skills to collaborate with business and IT teams.

PCMCS Consultant (Profitability and Cost Management Cloud Service)<br>Location : Riyadh, KSA<br>Experience : 5+ Years<br><br>Job Requirements:Design, develop, and implement Oracle PCMCS (Profitability and Cost Management Cloud Service) solutions to support cost allocation and profitability analysis. Configure and manage allocation rules, rule sets, and calculation logic within PCMCS. Develop and maintain business rules, driver-based allocations, and multi-stage cost allocations. Work with finance and business users to gather requirements and translate them into PCMCS models and calculations. Perform data integration and data loading using Data Management / FDMEE or other integration tools. Build and maintain profitability models, hierarchies, dimensions, and metadata. Create and manage reports, dashboards, and analysis views using PCMCS and Smart View. Optimize application performance and ensure efficient execution of allocation processes. Support monthly/quarterly financial close processes with accurate cost allocations and reporting. Troubleshoot and resolve issues related to calculations, data loads, and system performance. Conduct unit testing, SIT, UAT, and assist with deployments across environments. Maintain technical and functional documentation for models and processes. Ensure compliance with financial standards, governance, and audit requirements. Skills:Strong hands-on experience in Oracle PCMCS (EPM Cloud). Solid understanding of cost allocation methodologies and profitability analysis. Experience in configuring allocation rules, driver-based costing, and multi-dimensional models. Knowledge of financial processes such as GL, cost accounting, and profitability reporting. Experience with Data Management (FDMEE) / Data integration tools. Good understanding of EPM dimensions, hierarchies, and metadata management. Familiarity with Smart View, reporting, and data analysis tools. Basic knowledge of SQL and data handling concepts. Strong analytical and problem-solving skills. Good communication skills to collaborate with business and IT teams.

Role Description We are seeking an experienced Reporting Analyst to join our Logistics and Exploration Operations team in Saudi Arabia.<br>The successful candidate will support camp and field operations by developing structured operational reports, consolidating data from multiple sources, performing analysis, and creating management dashboards. This role is responsible for delivering timely, accurate, and actionable insights across accommodation, logistics, fleet, inventory, catering, transportation, and support services to enable effective planning and decision-making. Key Responsibilities Prepare and maintain daily, weekly, monthly, quarterly, and ad hoc MIS reports covering camp operations, logistics, fleet, inventory, catering, transportation, and support services. Collect, validate, and consolidate operational data from multiple sources, including field teams, ERP systems, Excel trackers, and operational databases. Analyze operational trends, identify variances, and provide meaningful insights to support management decisions. Develop and maintain interactive dashboards and visual reports using Microsoft Excel, Power BI, or similar reporting tools. Coordinate with logistics, fleet, inventory, camp management, catering, and housekeeping teams to ensure timely and accurate reporting. Maintain standardized reporting templates, data repositories, version control, and audit-ready documentation. Support reporting automation, process improvements, and enhancements to data quality and reporting efficiency. Ensure all reports are accurate, consistent, and presented in a clear, executive-ready format. Provide analytical support for operational reviews and performance monitoring initiatives. Contribute to continuous improvement of reporting processes and management information systems. Qualifications Bachelor's Degree in Management Information Systems (MIS), Statistics, Data Analytics, Finance, Accounting, Business Administration, or a related discipline. Additional certifications in Data Analytics, Power BI, or reporting tools are an advantage. Minimum 7–9 years of experience in MIS reporting, operational reporting, data analytics, financial reporting, or management reporting. Advanced proficiency in Microsoft Excel, including data analysis, Pivot Tables, dashboards, and reporting automation. Experience using Power BI or similar business intelligence and visualization tools. Strong analytical, data validation, and data consolidation skills with the ability to transform complex information into clear management insights. Experience supporting logistics, camp operations, facilities management, inventory, fleet, or industrial operations is highly desirable. Familiarity with ERP systems, audit support, and performance reporting frameworks. Excellent communication, stakeholder management, and organizational skills with a strong attention to detail.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Internship or Cooperative Training</strong> in the <strong>Human Capital </strong>Department - <strong>Internal Communications : </strong> </p> <p> </p> <p> <strong>Duration: </strong>6 Months.</p> <p> <strong>Monthly Reward:</strong> 3000 - 3500 SR.</p> <div> <div> <div> *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:1af02db7-a16b-432a-9389-26645c7c1f4a-1" data-turn-id-container="request-WEB:1af02db7-a16b-432a-9389-26645c7c1f4a-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant"&gt; <div> <div> <div> <div> <div> <div> <p>The intern will support the Human Capital Department in daily Internal Communication and Employee Engagement activities. Responsibilities include assisting in internal events and initiatives, supporting employee engagement campaigns, coordinating communication materials, and helping with employee activities and culture-related projects.</p> </div> </div> </div> </div> <div> </div> </div> </div> <div> </div> </div> </div> </div> <div> </div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>1- Senior Student or Bachelor Degree Holder in <strong>Human Resources Management, Business </strong> <strong>Administration or Public Relactions</strong> <strong>.</strong> </p> <p>2- <span>Excellent GPA <strong>(4.00 5.00), (3.50 4.00), or Above.</strong> </span> </p> <p>3-<strong> Fluent In English </strong>(Reading, Speaking &amp; Writing).</p> <p>4- Creativity and Basic knowledge of employee engagement activities &amp; internal communication practices. </p> <p>5- Ability to Join<strong> Immediately.</strong> </p><p></p></section>

<p>In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.</p><p>Parsons is looking for an amazingly talented BIM / GIS Specialist to join our team!</p><p>What You ll Be Doing</p><p>Lead BIM and GIS coordination activities across the project. Develop, manage, and maintain integrated BIM and GIS data environments. Coordinate BIM models and GIS datasets across multidisciplinary project teams. Ensure spatial and engineering information is accurately integrated and geographically referenced. Support implementation of project BIM and GIS standards, procedures, and information requirements. Review BIM models and GIS data for accuracy, completeness, consistency, and compliance with project requirements. Coordinate with BIM Managers, GIS teams, Design Consultants, Contractors, Survey teams, and Engineering disciplines. Support development and maintenance of the Common Data Environment (CDE) for BIM and GIS information. Coordinate model and data exchanges between project stakeholders. Manage spatial databases, geodatabases, GIS layers, asset data, and associated metadata. Perform GIS data collection, processing, analysis, visualization, and quality checking. Integrate CAD, BIM, GIS, survey, and asset information into coordinated project datasets. Support conversion and interoperability between CAD, BIM, GIS, and other engineering data formats. Develop and maintain GIS maps, dashboards, spatial analysis outputs, and project visualization tools. Support BIM model federation and coordination with GIS datasets. Identify spatial conflicts and interface issues between infrastructure assets and project elements. Support clash detection and spatial coordination between BIM models, utilities, infrastructure, and existing assets. Coordinate with Survey teams to ensure accurate coordinate systems, benchmarks, control points, and geospatial data. Verify model and GIS data against approved drawings, surveys, site information, and as-built records. Support field data collection and integration of survey information into BIM / GIS platforms. Develop and maintain asset location and infrastructure databases. Support data requirements for project handover and asset management. Ensure BIM and GIS information is maintained throughout design, construction, commissioning, and handover. Provide technical support and guidance to project teams on BIM / GIS requirements. Develop workflows and standards to improve BIM / GIS data quality and efficiency. Identify opportunities for automation, digital integration, and improved information management. Support preparation of BIM / GIS reports, dashboards, and management presentations. Maintain BIM / GIS registers, issue logs, data quality reports, and coordination records.</p><p>Airport / Infrastructure &amp; Airfield Responsibilities</p><p>Support BIM / GIS coordination for airport terminals, runways, taxiways, aprons, roads, utilities, drainage, buildings, and external infrastructure. Develop and maintain GIS datasets for airport and airfield infrastructure. Integrate airfield assets and infrastructure information into GIS platforms. Support spatial coordination of underground utilities and existing infrastructure. Coordinate GIS information for roads, pavements, drainage networks, utilities, lighting, signage, and other airport assets. Support integration of BIM models with airport-wide GIS and asset management systems. Manage spatial information associated with airside and landside infrastructure. Support construction planning and progress monitoring through BIM / GIS visualization. Provide spatial analysis to support construction sequencing, access planning, logistics, and site coordination. Support integration of as-built information into the final GIS and BIM databases. Ensure airport-specific coordinate systems, survey controls, and geospatial requirements are correctly implemented.</p><p>BIM Responsibilities</p><p>Review and coordinate BIM models from different disciplines and design consultants. Support model federation and multidisciplinary BIM coordination. Check BIM models against project BIM Execution Plan (BEP) and Employer's Information Requirements (EIR). Monitor model naming, classification, parameters, levels of development/information, and data requirements. Support BIM model audits and quality assurance. Identify model coordination issues and ensure timely resolution. Support integration of BIM information with construction schedules and project controls where required. Coordinate BIM information required for commissioning, handover, and asset management. Support 3D visualization and model-based project reviews.</p><p>GIS Responsibilities</p><p>Develop, maintain, and manage project geodatabases. Manage spatial layers for infrastructure, utilities, buildings, roads, pavements, drainage, and airport assets. Perform spatial analysis and data validation. Produce project maps, drawings, dashboards, and spatial reports. Manage coordinate reference systems and spatial data standards. Integrate GPS, survey, CAD, BIM, satellite, and field data into GIS systems. Perform data conversion, georeferencing, editing, and quality assurance. Support GIS-based asset tracking and infrastructure management. Maintain metadata and ensure traceability of GIS datasets.</p><p>Digital Information &amp; Data Management</p><p>Support integration between BIM, GIS, CDE, document management, and asset management platforms. Ensure project information is structured and accessible in accordance with approved information requirements. Support digital handover and asset information delivery. Coordinate data requirements between design, construction, commissioning, and operations teams. Identify opportunities for digital transformation and automation of BIM / GIS workflows. Support development of dashboards and visualization tools for management and project teams.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in Geomatics, GIS, Civil Engineering, Architecture, Information Technology, Surveying, or a related discipline.</li><li>Minimum 8 years of relevant experience in BIM, GIS, geospatial information management, infrastructure information management, or a combination of these fields.</li><li>Strong experience working on major infrastructure, airport, transportation, or multidisciplinary construction projects.</li><li>Proven experience integrating BIM and GIS information across complex infrastructure projects.</li><li>Strong knowledge of BIM coordination principles, GIS data management, spatial analysis, and geospatial databases.</li><li>Proficiency in Autodesk Revit, Civil 3D, Navisworks, AutoCAD, ArcGIS Pro / ArcGIS Online , or equivalent platforms.</li><li>Experience with BIM standards, BEP, EIR, CDE, model coordination, and information management.</li><li>Strong knowledge of coordinate systems, georeferencing, spatial databases, and survey data.</li><li>Experience with underground utilities and infrastructure GIS is highly desirable.</li><li>Experience with airport / airfield GIS and asset information is preferred.</li><li>Knowledge of ISO 19650 and relevant BIM information management standards is an advantage.</li><li>Knowledge of scripting / automation using Python, Dynamo, FME, or similar tools is an advantage.</li></ul><p>Core Competencies</p><ul><li>BIM Coordination</li><li>GIS &amp; Geospatial Data Management</li><li>BIM / GIS Integration</li><li>Infrastructure Information Management</li><li>Spatial Analysis</li><li>3D Model Coordination</li><li>Geodatabase Management</li><li>Asset Information Management</li><li>CAD / BIM / GIS Interoperability</li><li>CDE &amp; Information Management</li><li>Survey &amp; Coordinate Systems</li><li>Utility Mapping</li><li>Model &amp; Data Quality Assurance</li><li>Digital Handover</li><li>GIS Visualization &amp; Dashboards</li><li>Data Validation</li><li>Technical Coordination</li><li>Airport / Infrastructure Systems</li><li>Digital Engineering</li><li>Problem Solving</li></ul>

<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <p> </p> <p> <strong>What We Do </strong> </p> <p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p> <p> </p> <p> <strong>About the Role</strong> </p> <p>This is a freelance role for a Tendem project. As a <strong>Senior Python Data Scraping Engineer</strong>, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p> <p> </p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <p> </p> <p> <em> <strong>Educational qualifications</strong> </em> </p> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> </ul> <p> </p> <p> <em> <strong>Academic and/or Professional Experience</strong> </em> </p> <p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p> <p> </p> <p> <em> <strong>Technical Skills (Essential)</strong> </em> </p> <ul> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li> </ul> <p> </p> <p> <em> <strong>Additional requirements</strong> </em> </p> <ul> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li> <li>Strong attention to detail and commitment to data accuracy</li> <li>Self-directed work ethic with ability to troubleshoot independently</li> <li>A link to GitHub is a plus</li> <li>English proficiency: Upper-intermediate (B2) or above (required)</li> </ul> <p> </p> <p> <strong>Project time expectations </strong> </p> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <p> </p> <p> <strong>Compensation </strong> </p> <p>On this project, contributors can earn up to <strong>$37 per hour equivalent</strong>, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <p> </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Analytics &amp; Transformation Engineer with 3 11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions. Key Responsibilities Design and develop scalable analytics solutions to support business transformation initiatives. Build executive dashboards, reports, and analytical models to enable data-driven decision-making. Develop and maintain semantic models, metrics frameworks, and reporting standards. Perform behavioral analytics to understand user journeys, engagement patterns, and business performance. Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks. Collaborate with product, engineering, marketing, and business teams to establish data-driven processes. Perform tracking implementation QA and ensure accuracy of analytics data collection. Conduct A/B testing analysis and evaluate the impact of product and business changes. Perform post-launch transaction analysis and ensure analytics readiness for new initiatives. Identify opportunities for process optimization and business improvement through data insights. Required Technical Skills Business Intelligence &amp; Visualization Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting. Experience developing interactive dashboards, KPI reporting, and executive-level visualizations. Data Modeling &amp; Analytics Engineering Strong experience with SQL and dbt for data transformation and analytics workflows. Experience designing and maintaining semantic models and reusable analytical datasets. Understanding of data modeling concepts, metrics definitions, and reporting frameworks. Product &amp; Behavioral Analytics Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis. Strong understanding of behavioral analytics, user journey tracking, and engagement measurement. Experience defining metrics, event taxonomy planning, and tracking implementation QA. Experimentation &amp; Measurement Experience designing and analyzing A/B testing initiatives. Ability to measure business impact through controlled experiments and analytical insights. Experience with post-launch analysis, transaction analysis, and performance tracking. Reporting &amp; Productivity Tools Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation. Experience working with analytics methodologies and comparable tools/platforms. Qualifications Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field. 3 11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics. Strong analytical, problem-solving, and communication skills. Ability to work with technical and non-technical stakeholders. Experience working in Agile/Scrum environments. Preferred Skills Experience supporting digital transformation and product analytics initiatives. Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with data governance, analytics standards, and measurement frameworks. Experience working with large-scale datasets and enterprise reporting environments. Certifications in analytics, BI tools, or cloud technologies are a plus. Key Technology Stack Business Intelligence: Power BI or Tableau or Looker Analytics Engineering: dbt and SQL Data Modeling: Semantic Models and Metrics Frameworks Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing Reporting &amp; Analysis: Excel and Dashboard Creation Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>3 11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work with technical and non-technical stakeholders.</li><li>Experience working in Agile/Scrum environments.</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Unified Real Estate Development Company is seeking an Artificial Intelligence Engineer to join its team in Riyadh, Saudi Arabia. This full-time individual contributor position involves designing and building central data infrastructure, integrating frontier Large Language Models (LLMs), and developing internal tools. The primary objective is to enable AI-powered analysis for non-technical staff, focusing on the implementation and integration of existing models rather than machine learning research or pure data engineering.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and build central data infrastructure, such as ClickHouse or a data lake, to aggregate data from property management, leasing, finance, and operations systems.</li> <li style="margin:0 0 6px;">Integrate frontier LLMs (*, Claude, GPT-4) via API to serve as the reasoning and analysis layer over internal data.</li> <li style="margin:0 0 6px;">Build and maintain retrieval pipelines for intelligent selection, filtering, and delivery of relevant data to LLMs within context window constraints.</li> <li style="margin:0 0 6px;">Develop internal tools, dashboards, or interfaces that facilitate interaction with AI-powered analysis for non-technical staff.</li> <li style="margin:0 0 6px;">Implement data security, access controls, and compliance protocols to ensure appropriate handling of sensitive real estate and tenant data.</li> <li style="margin:0 0 6px;">Architect systems with modularity, allowing for swappable LLM providers, data sources, and tools as the technological landscape evolves.</li> <li style="margin:0 0 6px;">Monitor AI output quality and establish validation/feedback loops to mitigate hallucinations and errors.</li> <li style="margin:0 0 6px;">Stay informed on AI developments and proactively recommend new capabilities relevant to Unified’s operations.</li> <li style="margin:0 0 6px;">Document all systems, architectures, and processes thoroughly to minimize bus-factor risk.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">3–5 years of software engineering experience with strong proficiency in Python.</li> <li style="margin:0 0 6px;">Hands-on experience building applications that integrate with LLM APIs (*, Anthropic, OpenAI).</li> <li style="margin:0 0 6px;">Practical knowledge of data engineering, including ETL pipelines, SQL, and working with structured and semi-structured data at scale.</li> <li style="margin:0 0 6px;">Experience with at least one analytical database such as ClickHouse, PostgreSQL, BigQuery, or Snowflake.</li> <li style="margin:0 0 6px;">Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies.</li> <li style="margin:0 0 6px;">Familiarity with orchestration frameworks (*, LangChain, LlamaIndex, or custom equivalents).</li> <li style="margin:0 0 6px;">Ability to deploy and maintain production services, including Docker, cloud infrastructure, and CI/CD basics.</li> <li style="margin:0 0 6px;">Strong communication skills to explain technical constraints and trade-offs clearly to non-technical stakeholders.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience in real estate, property management, or construction technology.</li> <li style="margin:0 0 6px;">Exposure to agent-based AI workflows and multi-step task orchestration.</li> <li style="margin:0 0 6px;">Experience with data visualization tools or building internal dashboards (*, Streamlit, Retool).</li> <li style="margin:0 0 6px;">Familiarity with Arabic language NLP or bilingual data environments.</li> <li style="margin:0 0 6px;">Previous experience working in small teams or startup-like environments with end-to-end project ownership.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Scope and Focus</h3> <p style="margin:0 0 12px; ************;">This position is an individual contributor role with high autonomy and direct impact. It is specifically focused on implementing and integrating existing frontier models, not on machine learning research or model training/fine-tuning. While it involves building data infrastructure, the primary goal is to power AI applications, not solely to maintain databases. This is not a management position.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This role is based in Riyadh. The Artificial Intelligence Engineer will participate in weekly rotating meetings with various departments, including leasing, property management, finance, and operations, alongside an AI Analyst. These meetings aim to understand business needs and demonstrate progress. The work environment emphasizes a fast iteration cycle, with an expectation for working prototypes over lengthy planning phases.</p>

<p>We are looking for a Staff Analytics Engineer to own event instrumentation and behavioural data at Salla. You will own Salla's event taxonomy, tracking plans, schemas, and identity model, and the validation that keeps them trustworthy. You will work inside the engineering development lifecycle, in PRDs, design reviews and pull requests, rather than downstream of it, and partner with Product so that every behavioural metric traces back to an event someone deliberately designed, documented and monitored. This is a senior individual-contributor role with company-wide leverage, suited to someone who understands that the hardest part of instrumentation is not the schema, it is getting a hundred engineers to adopt it.</p><p><b><br></b></p><p><b>Responsibilities</b></p><ul><li>Own the design, development, and maintenance of our data models and transformation pipelines</li><li>Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions</li><li>Ensure data quality and consistency through rigorous testing, validation, and monitoring practices</li><li>Proactively spot and fix data issues</li><li>Maintain and document the data warehouse structure, data dictionary, and lineage</li><li>Define and enforce data modeling best practices</li><li>Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights</li><li>Improve developer experience across the data stack by automating workflows and simplifying data discovery</li></ul><p><strong>Desired Candidate Profile</strong></p><p>6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including at least 3 years directly owning event instrumentation and tracking.</p><p>Proven track record designing an event taxonomy and tracking plan from scratch, and driving genuine adoption across engineering teams</p><p>Hands-on experience with event collection or CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4)</p><p>Strong software engineering fundamentals, enough production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go or Python to meaningfully review an engineer's tracking pull request.</p><p>Expert SQL and hands-on dbt, with experience modelling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).</p><p>Working knowledge of streaming architecture (Kafka or equivalent), including delivery semantics, idempotency, deduplication and late-arriving data</p><p>Experience with server-side tagging, consent management, and privacy regulation.</p><p>A clear, defensible point of view on identity resolution, sessionisation, and cross-platform stitching.</p><p>Demonstrated ability to influence engineering teams without authority, and excellent written communication.</p><p>Nice to Have</p><ul><li>Proficiency working in Arabic</li><li>Experience working in the GCC</li><li>Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms</li><li>Depth in mobile instrumentation (native SDKs, install attribution, deep links, offline buffering)</li><li>Familiarity with tracking-plan governance or event observability tooling (Avo, Segment Protocols, Trackingplan or similar)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Staff Analytics Engineer to own event instrumentation and behavioural data at Salla.<br> You will own Salla's event taxonomy, tracking plans, schemas, and identity model, and the validation that keeps them trustworthy.<br> You will work inside the engineering development lifecycle, in PRDs, design reviews and pull requests, rather than downstream of it, and partner with Product so that every behavioural metric traces back to an event someone deliberately designed, documented and monitored.<br> This is a senior individual-contributor role with company-wide leverage, suited to someone who understands that the hardest part of instrumentation is not the schema, it is getting a hundred engineers to adopt it.<br> Responsibilities Own the design, development, and maintenance of our data models and transformation pipelines Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions Ensure data quality and consistency through rigorous testing, validation, and monitoring practices Proactively spot and fix data issues Maintain and document the data warehouse structure, data dictionary, and lineage Define and enforce data modeling best practices Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights Improve developer experience across the data stack by automating workflows and simplifying data discovery 6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including at least 3 years directly owning event instrumentation and tracking.<br> Proven track record designing an event taxonomy and tracking plan from scratch, and driving genuine adoption across engineering teams Hands-on experience with event collection or CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4) Strong software engineering fundamentals, enough production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go or Python to meaningfully review an engineer's tracking pull request.<br> Expert SQL and hands-on dbt, with experience modelling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).<br> Working knowledge of streaming architecture (Kafka or equivalent), including delivery semantics, idempotency, deduplication and late-arriving data Experience with server-side tagging, consent management, and privacy regulation.<br> A clear, defensible point of view on identity resolution, sessionisation, and cross-platform stitching.<br> Demonstrated ability to influence engineering teams without authority, and excellent written communication.<br> Nice to Have Proficiency working in Arabic Experience working in the GCC Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms Depth in mobile instrumentation (native SDKs, install attribution, deep links, offline buffering) Familiarity with tracking-plan governance or event observability tooling (Avo, Segment Protocols, Trackingplan or similar)</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Accenture is seeking a highly motivated and results-driven <b>Sales Capture Senior Manager</b> to lead the origination, qualification, shaping, pursuit, negotiation, and closure of large-scale AI and Data transformation opportunities. The successful candidate will work across industries to help clients unlock business value through Artificial Intelligence, Generative AI, Advanced Analytics, Data Modernization, Cloud Data Platforms, and Intelligent Operations.</p><br><br><p>This role requires a strategic sales leader who can build trusted executive relationships, identify emerging client needs, develop compelling business cases, and orchestrate multidisciplinary teams to win complex deals. You will be responsible for driving profitable growth while positioning Accenture as the leading transformation partner for AI and Data-led reinvention.<br>&nbsp;</p><br><br>Key Responsibilities<br>&nbsp;Sales Origination &amp; Pipeline Development<ul><li>Proactively identify and originate new AI and Data transformation opportunities across target accounts.</li><li>Build and maintain executive-level relationships with C-suite stakeholders, business leaders, and technology decision-makers.</li><li>Develop account growth strategies aligned to client business priorities and industry trends.</li><li>Create and manage a healthy pipeline of qualified opportunities to meet and exceed sales targets.</li></ul>Deal Shaping &amp; Solution Development<ul><li>Lead opportunity qualification and assess strategic fit, value potential, and win probability.</li><li>Shape differentiated AI and Data solutions leveraging Accenture's capabilities in:<ul><li>Generative AI</li><li>Artificial Intelligence &amp; Machine Learning</li><li>Data &amp; Analytics</li><li>Data Engineering</li><li>Data Governance &amp; Management</li><li>Cloud Data Platforms</li><li>Intelligent Automation</li><li>Industry-specific AI use cases</li></ul></li><li>Collaborate with solution architects, technical leaders, industry experts, and delivery teams to develop winning proposals.</li></ul>Sales Pursuit Leadership<ul><li>Lead end-to-end pursuit management from qualification through contract execution.</li><li>Develop compelling value propositions, executive presentations, and commercial models.</li><li>Drive RFP, RFI, and proposal responses while ensuring alignment with client objectives.</li><li>Coordinate cross-functional and global teams throughout the sales lifecycle.</li></ul>Client Engagement &amp; Executive Influence<ul><li>Build trusted advisor relationships with client executives.</li><li>Facilitate client workshops focused on AI strategy, innovation, business transformation, and value realization.</li><li>Position Accenture’s AI and Data vision to influence strategic client investment decisions.</li><li>Establish long-term partnerships that drive sustainable revenue growth.</li></ul>Commercial Negotiation &amp; Deal Closure<ul><li>Lead commercial negotiations and contract discussions.</li><li>Develop pricing and deal strategies that balance client outcomes with profitable growth.</li><li>Manage risk identification, mitigation, and governance throughout the sales process.</li><li>Successfully close deals while ensuring seamless transition to delivery teams.</li></ul>Market Leadership<ul><li>Maintain a deep understanding of AI, GenAI, Data, Analytics, Cloud, and industry trends.</li><li>Contribute to thought leadership, industry events, and client-facing innovation initiatives.</li><li>Help shape Accenture's go-to-market strategy for AI and Data services.</li></ul><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 1+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>1 Dashboard Development and Visualization - Design, develop, and maintain dashboards and reports using Power BI, Looker, Metabase, Cube, Evidence, and other reporting platforms. - Apply data visualization best practices to create intuitive and impactful analytical products. - Ensure reporting outputs meet business requirements, quality standards and established BI development guidelines. 2 Business Analysis and Insights - Analyze business data to identify trends, opportunities, risks and performance drivers. - Translate analytical findings into actionable recommendations for stakeholders. - Support data-driven decision-making through accurate and meaningful insights 3 Stakeholder Collaboration and Requirements Gathering - Collaborate with business stakeholders to understand reporting and analytical needs. - Gather, document and validate business requirements. - Translate business requirements into effective reporting and analytical solutions. 4 Self-Service Analytics Enablement - Develop and maintain certified datasets, reusable reporting assets, dashboard templates and analytical components that support self-service analytics. - Leverage approved semantic models, business definitions and KPI frameworks to ensure consistency across reporting assets. - Support business users in accessing, understanding and utilizing self-service analytics capabilities. - Identify opportunities to improve usability, adoption and accessibility of self-service analytics solutions 5 SQL Development and Data Analysis - Develop, optimize and maintain SQL queries to support reporting and analytical requirements. - Perform data exploration, validation and troubleshooting activities. - Collaborate with Data Engineering teams to ensure data readiness and reporting accuracy. 6 Data Quality and Validation - Perform validation testing and reconciliation to ensure report accuracy, consistency and reliability. - Investigate and resolve data discrepancies in collaboration with relevant teams. - Support data quality initiatives and reporting governance processes. 7 Documentation and Knowledge Sharing - Maintain technical documentation, business definitions and KPI catalogs. - Define development frameworks, reporting standards and governance guidelines. - Document certified datasets, semantic models and self-service analytics best practices to support organization-wide adoption. 8 User Enablement and Support - Provide support and guidance to report consumers and business users. - Deliver user training and demonstrations for dashboards, reports and self-service analytics capabilities. - Promote data literacy and effective use of BI platforms across the organization.</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum Qualifications and Experience Bachelor s degree in Business Administration, Computer Science, Economics, Finance, Information Systems, Statistics or a related field. A Master s degree or equivalent experience is preferred. 5+ years of experience in Business Intelligence, Data Analysis, or Reporting. Advanced experience with Power BI, Looker, SQL, and data visualization best practices. Experience developing dashboards, reports, and analytical solutions for business stakeholders. Experience working with semantic models, certified datasets, and self-service analytics environments. Experience gathering business requirements and translating them into reporting and analytics solutions.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role: Head of Data &amp; AI Delivery</h3> <p style="margin:0 0 12px; ************;">Masterworks, an IT services company, is seeking an experienced leader to join its team in Riyadh as the <strong style="font-weight:700;">Head of Data &amp; AI Delivery</strong>. This full-time position is critical for driving and overseeing strategic Data &amp; AI initiatives within government, banking, or large enterprise environments.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview and Impact</h3> <p style="margin:0 0 12px; ************;">The successful candidate will lead cross-functional teams and manage the comprehensive delivery of Data &amp; AI programs. This role involves driving digital transformation initiatives that are closely aligned with business objectives, requiring strong leadership, strategic thinking, and deep expertise in data management, artificial intelligence, and enterprise transformation.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Lead and manage Data &amp; AI projects and delivery operations.</li> <li style="margin:0 0 6px;">Oversee project planning, execution, governance, risk management, timelines, and reporting.</li> <li style="margin:0 0 6px;">Manage multidisciplinary teams, including Data Engineers, Data Scientists, Analysts, and Project Managers.</li> <li style="margin:0 0 6px;">Ensure successful delivery of projects within defined scope, budget, and quality standards.</li> <li style="margin:0 0 6px;">Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.</li> <li style="margin:0 0 6px;">Drive the adoption of Agile methodologies and modern project delivery practices.</li> <li style="margin:0 0 6px;">Manage relationships with vendors, partners, and other external stakeholders.</li> <li style="margin:0 0 6px;">Support enterprise digital transformation and data-driven initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Must be a Saudi National and eligible to work in Saudi Arabia.</li> <li style="margin:0 0 6px;">Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.</li> <li style="margin:0 0 6px;">A minimum of 8 years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.</li> <li style="margin:0 0 6px;">Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.</li> <li style="margin:0 0 6px;">Experience managing ministry or government leaders as stakeholders.</li> <li style="margin:0 0 6px;">Proven experience with risk and vendor management.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Certifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Demonstrated knowledge of Agile frameworks and enterprise project delivery.</li> <li style="margin:0 0 6px;">Professional proficiency in Arabic and excellent proficiency in English.</li> <li style="margin:0 0 6px;">Relevant professional certifications such as PMP, PMI-ACP, Scrum Master, SAFe Agile, or ITIL.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3> <p style="margin:0 0 12px; ************;">Masterworks invites qualified candidates to apply for this full-time position in Riyadh. Salary details will be discussed directly with candidates during the interview process.</p>

<p>Design and govern Cloudera CDP architecture aligned with enterprise Data Lakehouse standards. Define architecture patterns for batch, streaming, and analytics workloads. Lead performance optimization across Spark, Hive, Impala, and YARN environments. Architect and support real-time data ingestion using Kafka and NiFi. Implement and enforce security controls using Ranger, Kerberos, encryption, and access governance. Review existing Cloudera implementations, identify gaps, and drive remediation initiatives. Define monitoring, high availability, disaster recovery, and operational best practices. Collaborate with architects, engineering teams, and business stakeholders to ensure successful platform delivery.</p><p>Strong expertise in Cloudera Data Platform (CDP)</p><p>Hands-on experience with:</p><ul><li>HDFS, Spark, Hive, Impala</li><li>Kafka, NiFi</li><li>Ozone, HBase, Kudu</li><li>Iceberg, Hive Metastore</li><li>Ranger, Knox, Kerberos</li><li>Cloudera Manager and Cloudera AI</li></ul><p>Strong knowledge of cluster sizing, capacity planning, workload management, and performance tuning.</p><p>Experience implementing secure, highly available, enterprise-scale data platforms.</p><p>10-15+ years of experience in Big Data and Data Platform technologies.</p><p>Proven experience architecting and optimizing large-scale Cloudera environments.</p><p>Banking/BFSI or other regulated industry experience preferred.</p><p>Experience working with onsite and offshore delivery teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Immediately available candidate preferred</p><p>Required Skills:</p><ul><li>Strong expertise in Cloudera Data Platform (CDP)</li><li>Hands-on experience with:</li><ul><li>HDFS, Spark, Hive, Impala</li><li>Kafka, NiFi</li><li>Ozone, HBase, Kudu</li><li>Iceberg, Hive Metastore</li><li>Ranger, Knox, Kerberos</li><li>Cloudera Manager and Cloudera AI</li></ul><li>Strong knowledge of cluster sizing, capacity planning, workload management, and performance tuning.</li><li>Experience implementing secure, highly available, enterprise-scale data platforms.</li><li>Experience: 10-15+ years of experience in Big Data and Data Platform technologies.</li><li>Proven experience architecting and optimizing large-scale Cloudera environments.</li><li>Banking/BFSI or other regulated industry experience preferred.</li><li>Experience working with onsite and offshore delivery teams.</li></ul>