Data Entry Jobs in Saudi
19588 Jobs Found
Saudi - Jeddah
We are hiring: Oracle DBA (with ODI exposure) | Riyadh ????????Looking for an experienced Oracle Database Administrator based in Riyadh for an immediate/short-notice start.<br>(Senior Level not required, mid level only)<br>Key requirements: • (3 to 5 years, max) of core Oracle DBA experience (19c, RAC, Data Guard, RMAN) • Hands-on to Oracle Data Integrator (ODI 12c) — agents, repository maintenance & job monitoring • Deep performance tuning (AWR, ASH) & Linux environment skills • Location: Riyadh (Transferable Iqama / Saudi National)<br>???? Interested? Send your CV to [info@daam-tech.com] with subject: Oracle DBA - Riyadh.#Oracle DBA #ODI #Database Administrator #Riyadh Jobs #Hiring KSA #Tech Jobs Riyadh
Saudi - Jeddah
<h3 >About the Role</h3>
<p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jeddah, Makkah Province. This is a full-time position focused on leveraging data to inform and enhance product development. The successful candidate will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance insights into actionable decisions.</p> <h3 >Role Context and Impact</h3>
<p >This role involves end-to-end ownership of analytics for a specific product area. Responsibilities range from defining success metrics and measurement plans to analyzing experiments, monitoring product launches, and providing recommendations for next steps. Given the complexity and scale of Salla's products, the role requires an experienced analyst who can quickly learn new domains, synthesize information from incomplete inputs, and make rigorous decisions efficiently, even with ambiguous data.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Partner with product teams to translate questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li>
<li >Own analytics across key product journeys, including funnels, feature adoption, engagement, conversion, retention, and segmentation.</li>
<li >Conduct deep-dive analyses to diagnose performance changes, uncover root causes, and recommend product opportunities.</li>
<li >Design and analyze A/B tests and impact evaluations, covering metric selection, guardrails, validation checks, and decision recommendations.</li>
<li >Develop and validate tracking plans for new features.</li>
<li >Measure product launches and build dashboards and self-serve tools for monitoring product health.</li>
<li >Communicate findings, business impact, and trade-offs clearly, while contributing to team best practices and supporting junior analysts.</li>
</ul> <h3 >Required Qualifications and Experience</h3>
<ul >
<li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a related role within a technology or digital-product environment.</li>
<li >Advanced SQL skills and practical experience working with large, complex datasets.</li>
<li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li>
<li >Hands-on experience with product experiments and a solid understanding of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li>
<li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li>
</ul> <h3 >Essential Skills and Attributes</h3>
<ul >
<li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau.</li>
<li >Working knowledge of Python or R for data analysis.</li>
<li >Strong product judgment and the ability to manage analytical work independently in ambiguous situations.</li>
<li >Excellent communication and stakeholder-management skills, with the ability to influence product decisions through data-driven insights.</li>
</ul> <h3 >Joining Salla</h3>
<p >This role offers an opportunity to contribute to a dynamic product environment where analytical rigor and quick decision-making are valued. Candidates should be prepared to operate in a fast-paced setting, applying their expertise to complex challenges without always having a predefined playbook.</p>
Saudi - Makkah
<h3 >About Salla and the Senior Product Data Analyst Role</h3>
<p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 >Role Purpose and Strategic Context</h3>
<p >The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li>
<li >Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li>
<li >Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li>
<li >Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li>
<li >Develop and validate tracking plans for new features.</li>
<li >Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li>
<li >Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li>
</ul> <h3 >Required Experience and Qualifications</h3>
<ul >
<li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li>
<li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li>
<li >Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li>
<li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li>
</ul> <h3 >Technical Skills and Core Competencies</h3>
<ul >
<li >Advanced SQL proficiency and experience working with large, intricate datasets.</li>
<li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li>
<li >Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li>
<li >Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li>
</ul> <h3 >Application Process</h3>
<p >Candidates who meet the specified qualifications are encouraged to apply.</p>
Data Scientist/Senior Analyst (Supply Analytics Bangkok based Relocation provided)
Research & Development
Saudi - Jeddah
<h3 >About Agoda</h3>
<p >Agoda is a global travel platform, part of Booking Holdings [NASDAQ: BKNG], connecting people to destinations and experiences worldwide. Established in 2005, the company operates with a diverse team of over 7,000 individuals across 90 countries. Data and technology are central to Agoda's culture, driving innovation in its operations.</p> <h3 >The Supply Analytics Team</h3>
<p >The Supply Analytics team provides data-driven insights and decision support to optimize Agoda’s supply ecosystem. This involves analyzing partner and marketplace dynamics, developing forecasts and models, conducting experiments, and creating scalable dashboards and data products. The team's work directly contributes to improving inventory quality, partner economics, and Agoda's long-term growth.</p> <h3 >The Opportunity for a Senior Analyst</h3>
<p >Agoda is seeking a <strong >Senior Analyst</strong> for its Supply Analytics team. This full-time, individual contributor role is based in Bangkok, with relocation assistance provided. The Senior Analyst will report to either a Senior Manager or Associate Director within the Supply Department and will be empowered to work directly with partners on the ground, supported by the Supply team and collaborating with other teams across Agoda.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Translate internal briefs into analytical projects, including refining initial requirements, developing hypotheses, and storyboarding outputs.</li>
<li >Utilize and analyze data from large-scale data warehouses to present statistically robust analyses to various business stakeholders.</li>
<li >Proactively identify growth opportunities within the supply domain and the broader business.</li>
<li >Drive new analytical initiatives and projects focused on enhancing organizational efficiency and shaping Agoda's supply strategy.</li>
<li >Identify, support, and lead projects aimed at scaling the Supply organization's leverage of data, insights, and intelligence.</li>
<li >Automate manual operational processes and report on time savings achieved through business modernization efforts.</li>
</ul> <h3 >Required Qualifications and Skills</h3>
<ul >
<li >A solid understanding of statistical modeling or machine learning techniques (*, hypothesis testing, regression, logistic regression, random forest).</li>
<li >Demonstrated experience in stakeholder management, with comfort presenting to senior leadership and C-suite executives.</li>
<li >Experience in conducting A/B testing experimentation.</li>
<li >Strong experience in extracting data insights and providing actionable business recommendations.</li>
<li >A "hacker’s mindset," characterized by the ability to develop simple, clever, and elegant solutions to new problems under resource, operational, and time constraints. This requires a deep understanding of the business, creative problem-solving, and expertise in data, analytics, automation, programming, and prototyping.</li>
<li >Excellent communication skills, both written and verbal, including strong presentation and interpersonal abilities.</li>
<li >A data-driven approach to both decision-making and performance measurement.</li>
<li >Comfort and adaptability in ambiguous, fast-paced environments.</li>
<li >Ability to manage multiple tasks, prioritize effectively, and coordinate resources.</li>
</ul> <h3 >Preferred Qualifications</h3>
<ul >
<li >Program management certifications (*, PMI, PRINCE2) complementing program management experience.</li>
<li >Experience within the Asian market.</li>
<li >Background in the travel industry, e-commerce, technology, or consulting.</li>
</ul>
Saudi - Riyadh
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Summary: The Database Administrator will play a crucial role in the administration of systems infrastructure within our esteemed government entity.<br> Reporting directly to the IT Systems Manager, the incumbent is expected to bring expertise in Microsoft and Oracle database administration, ensuring the seamless functioning of critical databases.<br> Key Responsibilities: Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 8+ years of experience as a Database Administrator.<br> Strong knowledge of database administration and performance tuning.<br> Experience with database backup and recovery.<br> Understanding of database security and high availability.<br> Strong analytical and troubleshooting skills.<br> Good communication and teamwork skills.<br> Bachelor’s degree in a relevant field.<br> 4+ years of experience in the Information Technology industry Strong knowledge and experience in Oracle and SQL database administration.<br> Microsoft Certified Database Administrator (DBA) and Oracle Database SQL Certified Associate certifications are preferred.<br> Proven ability to proactively monitor and optimize database performance.<br> Experience in managing, coordinating, and implementing software upgrades and patches.<br> Familiarity with change management processes and incident correlation.<br> Excellent problem-solving skills and the ability to work collaboratively within a team.<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>
Saudi - Jeddah
Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, <br><br><br>knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.<br><br>Because alone, we go faster – but together, we go further.<br><br>Values:<br><br>Respect Frankness Passion<br><br><br>Business Unit:<br><br>Data & Intelligence<br><br>Level:<br><br>Senior to Managerial -level<br><br>To know more about us, please visit: www.devoteam.com<br><br>Job Description<br><br>A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.<br><br>Technical and Analytical Capabilities:<br><br> Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling. Proficiency with Data Querying: SQL for data retrieval and manipulation. Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards. Analytical Programming: Familiarity with Python or R for exploratory analysis. Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation. Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance. <br><br><br>Business-Oriented Capabilities:<br><br>Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts. Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks. Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements. <br><br><br>Communication and Soft Skills:<br><br>Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives). Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights. Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives. <br><br><br>Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.<br><br>Project and Task Management:<br><br>Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights. Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations. Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility. <br><br><br>Qualifications<br><br>One core certification (CCBA, CAP, or PMI-PBA) One data visualization certification (Tableau or Power BI) One complementary certification (optional but preferred) <br><br><br>Additional Information<br><br>Level: Mid-senior Level<br><br>Business Unit: Data Intelegince
Data Scientist/Senior Analyst (Supply Analytics Bangkok based Relocation provided)
Accounting, Finance & Banking
Saudi - Makkah
<h3 >About Agoda</h3>
<p >Agoda is a global travel platform, part of Booking Holdings [NASDAQ: BKNG], connecting people to destinations and experiences worldwide. Established in 2005, the company operates with a diverse team of over 7,000 individuals across 90 countries. Data and technology are central to Agoda's culture, driving innovation in its operations.</p> <h3 >The Supply Analytics Team</h3>
<p >The Supply Analytics team provides data-driven insights and decision support to optimize Agoda’s supply ecosystem. This involves analyzing partner and marketplace dynamics, developing forecasts and models, conducting experiments, and creating scalable dashboards and data products. The team's work directly contributes to improving inventory quality, partner economics, and Agoda's long-term growth.</p> <h3 >The Opportunity for a Senior Analyst</h3>
<p >Agoda is seeking a <strong >Senior Analyst</strong> for its Supply Analytics team. This full-time, individual contributor role is based in Bangkok, with relocation assistance provided. The Senior Analyst will report to either a Senior Manager or Associate Director within the Supply Department and will be empowered to work directly with partners on the ground, supported by the Supply team and collaborating with other teams across Agoda.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Translate internal briefs into analytical projects, including refining initial requirements, developing hypotheses, and storyboarding outputs.</li>
<li >Utilize and analyze data from large-scale data warehouses to present statistically robust analyses to various business stakeholders.</li>
<li >Proactively identify growth opportunities within the supply domain and the broader business.</li>
<li >Drive new analytical initiatives and projects focused on enhancing organizational efficiency and shaping Agoda's supply strategy.</li>
<li >Identify, support, and lead projects aimed at scaling the Supply organization's leverage of data, insights, and intelligence.</li>
<li >Automate manual operational processes and report on time savings achieved through business modernization efforts.</li>
</ul> <h3 >Required Qualifications and Skills</h3>
<ul >
<li >A solid understanding of statistical modeling or machine learning techniques (*, hypothesis testing, regression, logistic regression, random forest).</li>
<li >Demonstrated experience in stakeholder management, with comfort presenting to senior leadership and C-suite executives.</li>
<li >Experience in conducting A/B testing experimentation.</li>
<li >Strong experience in extracting data insights and providing actionable business recommendations.</li>
<li >A "hacker’s mindset," characterized by the ability to develop simple, clever, and elegant solutions to new problems under resource, operational, and time constraints. This requires a deep understanding of the business, creative problem-solving, and expertise in data, analytics, automation, programming, and prototyping.</li>
<li >Excellent communication skills, both written and verbal, including strong presentation and interpersonal abilities.</li>
<li >A data-driven approach to both decision-making and performance measurement.</li>
<li >Comfort and adaptability in ambiguous, fast-paced environments.</li>
<li >Ability to manage multiple tasks, prioritize effectively, and coordinate resources.</li>
</ul> <h3 >Preferred Qualifications</h3>
<ul >
<li >Program management certifications (*, PMI, PRINCE2) complementing program management experience.</li>
<li >Experience within the Asian market.</li>
<li >Background in the travel industry, e-commerce, technology, or consulting.</li>
</ul>
Saudi - Jeddah
Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, <br><br><br>knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.<br><br>Because alone, we go faster – but together, we go further.<br><br>Values:<br><br>Respect Frankness Passion<br><br><br>Business Unit:<br><br>Data & Intelligence<br><br>Level:<br><br>Senior to Managerial -level<br><br>To know more about us, please visit: www.devoteam.com<br><br>Job Description<br><br>Experience in Personal Data Privacy Ensure that client policies are in compliance with codes of practice such as PDPL (Personal Data Protection Low). Draft new and amend existing internal data protection policies, guidelines, and procedures, in consultation with the organization's key stakeholders Inform and advise the data controller or data processor on all matters related to data protection Promote a culture of data protection and compliance across all units of the organization Conduct audits to ensure compliance and to address potential issues Maintain records of all data processing activities of the company Serve as point of contact for data protection authorities<br><br><br>Qualifications<br><br>5+ years of experience Bachelor’s degree in Computer Science, Management of Information Systems, or information Management from a recognized and approved program. Knowledge of industry-leading data governance and data management practices. Have practical track records in data privacy practices, business and technology issues related to the management of enterprise information assets and approaches. CDMP Certified CIPP certification is a plus<br><br><br>Additional Information<br><br>Fluency in Arabic & English is highly desirable
Saudi - Jeddah
Senior Oracle / MS SQL Server DBA – BSS<br>Overview We are seeking an experienced Senior Database Administrator to provide L2 database support across a mission-critical enterprise BSS managed services environment. The role will focus on the availability, performance, integrity and security of Oracle and Microsoft SQL Server databases supporting Ericsson Billing and wider BSS applications. The successful candidate will bring strong hands-on Oracle 19c expertise, particularly RAC, Data Guard, ASM, RMAN and performance tuning. Experience supporting Ericsson Billing/BSCS database environments would be highly advantageous.<br>Responsibilities Administer Oracle 19c+ and Microsoft SQL Server 2017/2019 production environments. Monitor database health and proactively identify performance and capacity issues. Troubleshoot L2 incidents including ORA errors, lock contention, space issues, SQL deadlocks and performance degradation. Manage Oracle RAC and Data Guard HA/DR environments. Support SQL Server Always On Availability Groups and Failover Cluster Instances. Perform query optimisation, index management, statistics maintenance and execution plan analysis. Manage Oracle RMAN and SQL Server backup and restore operations. Administer Oracle ASM, tablespaces and database storage capacity. Apply Oracle Critical Patch Updates and SQL Server service packs through established change processes. Manage database users, roles, privileges, encryption and auditing. Support schema changes, data migrations and database performance tuning alongside BSS application teams. Participate in DR testing and database failover/switchover exercises. Maintain database documentation, configuration records and CMDB information. Respond to database incidents escalated from L1/NOC teams.<br>Required Skills8–12 years’ experience in Oracle and/or Microsoft SQL Server database administration. Expert Oracle 19c knowledge, including RAC, Data Guard, RMAN, ASM, partitioning and performance tuning. Strong SQL Server knowledge, including Always On AG, SQL Agent and T-SQL. Oracle performance diagnostics using AWR, ADDM and ASH. SQL Server performance analysis using Query Store. Strong PL/SQL and T-SQL scripting capability. Hands-on backup, restore, HA and DR experience. Database security knowledge including TDE, auditing and privilege management. ITIL awareness covering incident and change management. Strong written and spoken English.<br>Nice to Have Ericsson Billing / BSCS database experience. Wider Ericsson BSS exposure including EOC, ECM or Ericsson Mediation. Microsoft Dynamics CRM or Share Point SQL Server experience. Vertica and Talend exposure. Commvault backup integration experience. Oracle Certified Professional certification. Relevant Microsoft SQL Server certification.<br>Why Apply? This is an opportunity to work within a complex, mission-critical telecoms BSS environment supporting high-availability database platforms across billing, order management, CRM, mediation and reporting workloads. The position offers significant exposure to enterprise Oracle and SQL Server HA/DR, performance optimisation and large-scale operational database support.<br>How to Apply If you have strong Oracle production DBA experience and a background supporting complex enterprise or telecoms/BSS platforms, please apply with your latest CV for further details.
Client of Ethra Hr
Saudi - Riyadh
<p>The role will also architect a Rules Engine for business validations and transformations and establish a comprehensive Data Governance layer covering security, lineage, quality, compliance, and operational readiness.</p><p>Responsibilities:</p><ul><li>Lead HLD and LLD for the Lakehouse, covering HDFS/Ozone, YARN, Hive 3/Impala, Spark, Kafka/NiFi, Ranger, Atlas, Knox, KMS, and HMS with HA.</li><li>Define storage and compute topology, cluster sizing, multi-environment architecture, and network zones.</li><li>Design perimeter security using Knox and TLS.</li><li>Establish Bronze, Silver, and Gold standards, including naming, data contracts, partitioning, data quality checkpoints, schema evolution, retention, and recovery patterns.</li><li>Align serving models for BI and analytics using Impala and Phoenix.</li><li>Design batch pipelines using Informatica BDM, Spark, and Hive.</li><li>Design speed and streaming paths using NiFi, Kafka, Hudi, Kudu, HBase, and Phoenix.</li><li>Define the convergence and serving of batch and streaming outputs into governed data stores.</li><li>Architect a declarative Rules Engine covering validations, standardization, derivations, survivorship, consent/PII handling, and SLA routing. Ensure rules are metadata-driven, versioned, testable, and CI/CD integrated.</li><li>Implement data governance using Ranger and Atlas, including policies, masking, classifications, lineage, and glossary management.</li><li>Define data lifecycle, retention, legal holds, PII/PCI/SOX requirements, and audit trails.</li><li>Establish CI/CD for infrastructure, schemas, table evolution, rules packs, and ETL deployments.</li><li>Build SLA dashboards, alerts, runbooks, and observability processes.</li><li>Architect disaster recovery and business continuity using BDR/Replication Manager and replication strategies.</li><li>Partner with Domain SMEs, Platform Administrators, Security, and Compliance teams.</li><li>Lead Architecture Review Boards and mentor developers and data engineering teams.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements</p><ul><li>10+ years of experience in data architecture/engineering.</li><li>Bacheloru2019s or Masteru2019s in Computer Science, Engineering, or related field or equivalent experience.</li><li>3u20135+ years of experience architecting on Cloudera CDH/CDP in production.</li><li>Proven experience delivering on-premises Lakehouse environments using Medallion and Lambda architectures.</li><li>Strong understanding of industry standards and best practices in Data Engineering.</li><li>Good understanding of Informatica DEI suite for framework/pattern design and pushdown to Spark/Hive.</li><li>Deep practical exposure to Apache Iceberg, Apache Hudi, Apache Kudu, HBase, Phoenix, Hive 3, and Impala.</li><li>Strong SQL expertise, including windowing, partitioning, MERGE/UPSERT, and cost-based tuning.</li><li>Strong Impala/Phoenix performance tuning experience.</li><li>Experience with Kerberos, TLS, AD/LDAP, Ranger policies, Atlas lineage/glossary, and SDX concepts.</li><li>Experience designing metadata-driven Rules Engines and data quality frameworks for both batch and streaming environments.</li><li>Solid Linux fundamentals.</li><li>Experience with Git and CI/CD.</li><li>Strong documentation and stakeholder communication skills.</li><li>Experience with Kafka patterns and CDC from RDBMS is preferred.</li><li>Familiarity with Ozone, KMS/Key Trustee, and air-gapped deployments is preferred.</li><li>SRE experience, including SLOs, error budgets, RCA, and disaster recovery exercises, is preferred.</li><li>Cloudera CDP, Informatica, and Security certifications are a plus.</li><li>Regulatory experience in PII/PCI/SOX/GDPR environments is preferred.</li></ul>
Saudi - Jeddah
<h3 >About Salla and the Senior Product Data Analyst Role</h3>
<p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 >Role Purpose and Strategic Context</h3>
<p >The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li>
<li >Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li>
<li >Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li>
<li >Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li>
<li >Develop and validate tracking plans for new features.</li>
<li >Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li>
<li >Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li>
</ul> <h3 >Required Experience and Qualifications</h3>
<ul >
<li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li>
<li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li>
<li >Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li>
<li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li>
</ul> <h3 >Technical Skills and Core Competencies</h3>
<ul >
<li >Advanced SQL proficiency and experience working with large, intricate datasets.</li>
<li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li>
<li >Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li>
<li >Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li>
</ul> <h3 >Application Process</h3>
<p >Candidates who meet the specified qualifications are encouraged to apply.</p>
Saudi - Riyadh
<p><br></p><p><b>In this role, you will:</b></p><ul><li>Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.</li><li>Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems.</li><li>Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.</li><li>Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.</li><li>Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.</li><li>Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.</li><li>Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.</li><li>Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context co-developing impactful data and AI-driven solutions.</li></ul><p>What you bring:</p><ul><li>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</li><li>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</li><li>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</li><li>Proven experience applying a wide range of ML techniques classification, forecasting, clustering, recommendation systems, anomaly detection balancing accuracy, robustness, interpretability, and usability at scale.</li><li>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</li><li>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</li><li>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</li><li>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</li><li>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</li><li>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</p><p>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</p><p>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</p><p>Proven experience applying a wide range of ML techniques classification, forecasting, clustering, recommendation systems, anomaly detection balancing accuracy, robustness, interpretability, and usability at scale.</p><p>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</p><p>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</p><p>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</p><p>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</p><p>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</p><p>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</p>
Saudi - Riyadh
<h3 >About Eaton and the Role</h3>
<p >Eaton is a global power management company dedicated to providing energy-efficient solutions that help customers manage electrical, hydraulic, and mechanical power more efficiently, safely, and sustainably. With approximately 96,000 employees serving customers in over 175 countries, Eaton is committed to improving the quality of life and the environment through its power management technology and services. We are seeking a <strong >Data Center Electrical Design Manager EMEA</strong> to join our team in Riyadh, Saudi Arabia, in a full-time capacity.</p> <h3 >Role Purpose and Scope</h3>
<p >Reporting to the EMEA Director of Engineering - DC Segment, this role is responsible for managing the design, development, and implementation of innovative data centre solutions. The position requires a strategic thinker with a strong technical background in data centre design, focused on driving innovation. This influential technical leader will drive design innovation, manage engineering teams, and lead continuous improvement initiatives to ensure the delivery of high-quality, efficient, and scalable data centre solutions. The role provides deep engineering support and direction for the design, build, and operation of large Data Centres, primarily focusing on electrical infrastructure while also extending into overall operational technology within the Data Centre environment.</p> <h3 >Key Responsibilities</h3>
<ul >
<li >Act as Design Manager on data centre projects, leading the electrical design scope from concept through detailed design, construction support, and closeout.</li>
<li >Provide hands-on electrical design expertise, offering technical leadership and ownership of critical design aspects for mission-critical facilities.</li>
<li >Lead and coordinate electrical engineers and Subject Matter Experts (SMEs) within multidisciplinary design teams for both large and small projects.</li>
<li >Manage design deliverables, resources, schedules, and quality across assigned projects.</li>
<li >Offer expert technical guidance and mentoring to the DC Design & Engineering team.</li>
<li >Develop, implement, and uphold electrical design quality standards, procedures, and best practices.</li>
<li >Review and approve electrical designs, calculations, reports, and specifications, including facilitating formal peer reviews.</li>
<li >Serve as a client-facing technical lead, attending and contributing to client, contractor, and Eaton internal meetings.</li>
<li >Lead project teams during value engineering, optioneering, and technical decision-making stages.</li>
<li >Participate in and lead project site visits to monitor, review, and resolve electrical installation and commissioning matters.</li>
<li >Collaborate with project management, commercial, and construction teams to ensure successful project outcomes.</li>
</ul> <h3 >Required Experience and Expertise</h3>
<p >Candidates should possess 5-10 years of relevant experience in data centre electrical design and project management. Expertise is required within electromechanical systems such as cooling, building management systems (BMS), and energy management systems (EMS). A full appreciation of various building construction technologies and challenges is necessary, along with proven experience in project management and the supervision of build projects. The role also requires experience in the delivery of various product technologies and services within the Data Centre environment.</p> <h3 >Qualifications and Skills</h3>
<p >The ideal candidate will demonstrate strong technical leadership capabilities and a commitment to maintaining high-quality design standards. Essential skills include the ability to lead multidisciplinary teams, manage complex project deliverables, and provide expert technical guidance. Effective communication and collaboration skills are crucial for interacting with clients, contractors, and internal teams.</p> <h3 >Work Environment</h3>
<p >This full-time position is based in Riyadh, Saudi Arabia, and involves working within a dynamic engineering team focused on delivering advanced data centre solutions across the EMEA region. The role requires active participation in project site visits and close collaboration with various internal and external stakeholders.</p>
Saudi - Jeddah
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Data) based in Saudi Arabia.<br><br>This is an opportunity to join a lean, autonomous engineering team building products that help organizations better understand and optimize cloud data costs.<br><br>You’ll play a key role in designing and delivering new capabilities across backend systems, data engineering, visualization, and cost-management workflows.<br><br>The position offers meaningful ownership, with the opportunity to shape technical direction and influence the product roadmap.<br><br>You’ll work closely with experienced engineers and founding team members in a fast-moving environment where pragmatic decisions and customer impact matter.<br><br>From data pipelines and transformation models to resilient application components, your work will directly improve the product experience.<br><br>The role is ideal for a self-directed engineer who enjoys solving complex problems, moving quickly, and owning features from concept through release.<br><br>You’ll also have the flexibility and autonomy of a distributed team that values collaboration, continuous learning, and sustainable ways of working.<br><br>Accountabilities<br><br>Design and build new product capabilities focused on data cost management, including forecasting, anomaly detection, cost allocation, and related workflows. Develop reliable and reusable backend and data-engineering solutions that surface actionable insights for customers. Build data pipelines and transformation models that support new product capabilities and identify opportunities for optimization. Create and improve data visualization features that communicate performance, query timing, efficiency, and other important metrics clearly. Develop resilient, reusable UI components that contribute to a smooth and intuitive product experience. Improve application reliability, scalability, and performance through thoughtful engineering practices and system design. Own features end to end, from identifying problems and shaping requirements through technical design, implementation, testing, and release. Evaluate technical and product tradeoffs to prioritize high-impact solutions and deliver meaningful customer value efficiently. Collaborate closely with engineers and senior stakeholders through clear proposals, documentation, code reviews, testing, and effective communication. Contribute to a culture of pragmatic execution, continuous improvement, and strong engineering quality.<br><br>Requirements<br><br>5+ years of relevant software engineering experience, with strong expertise in backend development and data engineering. Strong working knowledge of Python, Fast API, Postgre SQL, dbt, Dagster, and Snowflake. Solid understanding of system design and the ability to develop scalable, reliable technical solutions. Experience building data pipelines, transformation workflows, backend services, and data-driven product capabilities. Strong written and verbal English communication skills, with the ability to collaborate effectively in a distributed environment. Demonstrated ability to work independently, take ownership, and remain accountable for outcomes from initial concept through delivery. Strong analytical and problem-solving skills, with sound judgment when balancing speed, technical depth, and customer impact. Comfortable working in a fast-moving and evolving environment where priorities and requirements may change. Strong collaboration skills and a commitment to readable, maintainable code, clear documentation, and thorough testing. A proactive, curious, and positive approach to engineering, with genuine enthusiasm for solving challenging problems. Familiarity with Fin Ops, cloud infrastructure cost management, data-warehouse management, or observability is a plus. Previous experience working in an early-stage startup or similarly lean engineering environment is advantageous.<br><br>Benefits<br><br>Base salary of up to $180,000 CAD, plus additional compensation opportunities. Fully remote and distributed working environment with flexibility to structure work around personal commitments. High level of autonomy and ownership over technical decisions, product development, and feature delivery. Opportunity to work closely with experienced engineers and founding team members. Meaningful influence on both the technical roadmap and product direction. Support for professional and personal development, including opportunities to expand technical skills. Collaborative, entrepreneurial culture that values curiosity, pragmatism, flexibility, and work-life balance. Opportunity to contribute to a growing product focused on solving complex cloud data cost and optimization challenges.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Saudi - Jeddah
Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in
Saudi - Jeddah
Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in
شركةاحمد فريد احمد مصطفي للاستشارات الهندسية
Saudi - Riyadh
<div dir="rtl"><h3 >نبذة عن الوظيفة</h3>
<p >تبحث شركةاحمد فريد احمد مصطفي للاستشارات الهندسية عن <strong >مبرمج قاعدة بيانات</strong> للانضمام إلى فريقها في عرعر، الحدود الشمالية. هذه الوظيفة بدوام كامل وتتطلب خبرة تتراوح بين 0-1 سنة، وتقدم فرصة للمساهمة في تطوير وصيانة أنظمة الشركة.</p> <h3 >الهدف من الدور</h3>
<p >يتولى شاغل هذه الوظيفة مسؤولية تصميم هيكل البرمجيات وتوضيح الرموز البرمجية. يشمل الدور أيضاً تصميم وتطوير الأنظمة وقواعد البيانات بطريقة سهلة ومنهجية، بالإضافة إلى المحافظة عليها لضمان استمرارية وكفاءة العمليات التقنية.</p> <h3 >المهام والمسؤوليات الرئيسية</h3>
<ul >
<li >المحافظة على ملفات البرمجة لجميع البرامج والتطبيقات.</li>
<li >فحص الأنظمة والبرامج والتأكد من جودتها وأدائها.</li>
<li >إعداد الوثائق والتقارير المتخصصة المتعلقة ببرمجة قاعدة البيانات.</li>
<li >تقديم التوصيات والحلول البرمجية المناسبة، وعرضها وتوضيحها وحفظها وفقاً للسياسات والإجراءات المعتمدة.</li>
<li >اختبار البرمجيات من حيث الوظيفة والتوافق التقني ومعايير البرمجة.</li>
<li >توفير الحلول والبدائل البرمجية التي تستعمل تقنيات مختلفة.</li>
<li >تطوير قواعد البيانات والعمل على تكاملها بالتوافق مع المقاييس المتبعة والإجراءات.</li>
<li >الإشراف على عمليات تدقيق البرامج للتأكد من عدم وجود الأخطاء والتناقضات، واتخاذ التدابير التصحيحية قبل الإصدار.</li>
</ul> <h3 >المؤهلات والخبرات المطلوبة</h3>
<ul >
<li >خبرة عملية تتراوح بين <strong >0-1 سنة</strong> في مجال برمجة قواعد البيانات.</li>
<li >حيازة شهادات معتمدة في استخدام لغات البرمجة.</li>
<li >خبرة في إدارة قواعد البيانات والقدرة على تطوير التطبيقات (مثل Oracle أو MS).</li>
<li >مسجل في هيئة المهندسين.</li>
</ul> <h3 >بيئة العمل</h3>
<p >هذه الوظيفة بدوام كامل ومقرها في مدينة عرعر، ضمن منطقة الحدود الشمالية بالمملكة العربية السعودية. سيعمل الموظف ضمن فريق متخصص في شركةاحمد فريد احمد مصطفي للاستشارات الهندسية، حيث يساهم في بيئة عمل داعمة وموجهة نحو تحقيق الأهداف التقنية.</p> <h3 >تقديم الطلبات</h3>
<p >ندعو المرشحين المؤهلين والمهتمين الذين يستوفون المتطلبات المذكورة أعلاه إلى تقديم طلباتهم لهذه الفرصة المهنية.</p></div>
Elm
Saudi - Riyadh
<p ><strong><span >Job Description</span></strong></p>
<div align="center">
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td colspan="7">
<p ><strong><span >OVERVIEW</span></strong></p>
</td>
</tr>
<tr>
<td >
<p ><strong><span >Job Title</span></strong></p>
</td>
<td >
<p ><span >Backup, Storage & Data Recovery Manager </span></p>
</td>
<td >
<p ><strong><span >Job Code</span></strong></p>
</td>
<td colspan="2">
<p ><span >-</span></p>
</td>
<td >
<p ><strong><span >Grade</span></strong></p>
</td>
<td >
<p ><span >T1</span></p>
</td>
</tr>
<tr>
<td >
<p ><strong><span >Group</span></strong></p>
</td>
<td >
<p ><span >Government product</span></p>
</td>
<td >
<p ><strong><span >Division</span></strong></p>
</td>
<td colspan="4" valign="top">
<p ><span >Technology Division</span></p>
</td>
</tr>
<tr>
<td >
<p ><strong><span >Department</span></strong></p>
</td>
<td valign="top">
<p ><span >IT Infrastructure</span></p>
</td>
<td colspan="2">
<p ><strong><span >Unit</span></strong></p>
</td>
<td colspan="3">
<p ><span >-</span></p>
</td>
</tr>
<tr>
<td > </td>
<td > </td>
<td > </td>
<td > </td>
<td > </td>
<td > </td>
<td > </td>
</tr>
</tbody>
</table>
</div>
<p > </p>
<div align="center">
<table class="MsoNormalTable" border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td >
<p ><strong><span >ROLE PURPOSE</span></strong></p>
<p ><em><span >The aim is to state the overall significance of the job from the organization’s perspective.</span></em></p>
</td>
</tr>
<tr>
<td >
<p ><span >The role exists to provide technical leadership for the development, operation, governance, and continuous improvement of Elm’s backup, data recovery, storage, and file services environments. The role ensures the stability, resilience, and reliability of critical infrastructure services by strengthening backup and recovery capabilities, safeguarding data, improving operational governance, supporting disaster recovery readiness, and reducing operational risks associated with limited specialized resources, in alignment with Elm’s policies, procedures, information security standards, and business continuity objectives.</span></p>
</td>
</tr>
</tbody>
</table>
</div>
<p > </p>
<div align="center">
<table class="MsoNormalTable" border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td colspan="2">
<p ><strong><span >KEY ACCOUNTABILITIES & ACTIVITIES</span></strong></p>
<p ><em><span >This section describes the principal outputs required from the job.</span></em></p>
</td>
</tr>
<tr>
<td >
<p ><strong><span >Key Accountabilities</span></strong></p>
</td>
<td >
<p ><strong><span >Key Activities</span></strong></p>
</td>
</tr>
<tr>
<td >
<p ><span >1. Backup & Data Recovery Leadership</span></p>
</td>
<td valign="top">
<p ><span >• Lead the technical planning, operation, and enhancement of backup and data recovery services across critical infrastructure environments.</span></p>
<p ><span >• Ensure backup and recovery activities are aligned with business continuity, data protection, and operational resilience requirements.</span></p>
<p ><span >• Drive improvements that strengthen backup reliability, service continuity, and recoverability of critical systems and data.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >2. Storage & File Services Operations</span></p>
</td>
<td valign="top">
<p ><span >• Lead the technical operation and support of storage platforms, file services, and related infrastructure components.</span></p>
<p ><span >• Ensure reliable availability, performance, capacity, and security of storage and file services across production environments.</span></p>
<p ><span >• Monitor storage utilization, growth trends, service health, and operational risks to support proactive planning and issue prevention.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >3. Disaster Recovery Readiness</span></p>
</td>
<td valign="top">
<p ><span >• Lead technical activities related to disaster recovery readiness for backup, storage, and critical infrastructure services.</span></p>
<p ><span >• Plan and support disaster recovery tests to validate recovery procedures, infrastructure dependencies, and service restoration capabilities.</span></p>
<p ><span >• Identify recovery gaps and recommend corrective actions to improve recovery readiness and reduce business continuity risks.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >4. Infrastructure Governance & Operational Control</span></p>
</td>
<td valign="top">
<p ><span >• Develop and maintain operational controls, procedures, standards, and documentation for backup, recovery, storage, and file services.</span></p>
<p ><span >• Improve governance over backup and storage operations through clear responsibilities, reporting, control checks, and escalation paths.</span></p>
<p ><span >• Ensure operational activities are executed in a controlled and consistent manner according to approved processes and standards.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >5. Service Stability & Performance Management</span></p>
</td>
<td valign="top">
<p ><span >• Monitor the stability, performance, and availability of backup, storage, recovery, and file services to prevent service disruption.</span></p>
<p ><span >• Analyze incidents, service degradation, recurring failures, and capacity-related issues to identify root causes and improvement actions.</span></p>
<p ><span >• Coordinate with infrastructure, application, database, and operations teams to resolve service-impacting issues efficiently.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >6. Platform Development & Improvement Initiatives</span></p>
</td>
<td valign="top">
<p ><span >• Lead technical workstreams and initiatives aimed at modernizing and improving backup, recovery, storage, and file services capabilities.</span></p>
<p ><span >• Assess requirements for new and existing systems to ensure appropriate backup, storage, recovery, and data protection coverage.</span></p>
<p ><span >• Contribute to technology refreshes, upgrades, baseline builds, health checks, and platform improvement activities.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >7. Risk Management & Data Protection</span></p>
</td>
<td valign="top">
<p ><span >• Identify and assess operational risks related to data loss, backup failure, storage capacity, recovery delays, and service unavailability.</span></p>
<p ><span >• Implement and recommend controls to protect data, reduce infrastructure risk, and strengthen recovery capabilities.</span></p>
<p ><span >• Ensure backup, storage, and file services support confidentiality, integrity, availability, and retention requirements.</span></p>
</td>
</tr>
<tr>
<td >
<p ><span >8. Technical Advisory & Stakeholder Coordination</span></p>
</td>
<td valign="top">
<p ><span >• Provide expert technical guidance to internal teams on backup, restore, storage, file services, and disaster recovery matters.</span></p>
<p ><span >• Coordinate with infrastructure, cybersecurity, database, application, service management, and business continuity stakeholders to support service needs.</span></p>
<p ><span >• Prepare technical reports, status updates, capacity insights, recovery readiness summaries, and operational recommendations for stakeholders.</span></p>
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<p ><span >9. Policies, Processes & Procedures</span></p>
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<p ><span >• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></p>
<p ><span >• Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.</span></p>
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<p ><span >10. Information Security</span></p>
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<p ><span >• Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.</span></p>
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<p><span > </span></p>
<p > </p>
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<p ><strong><span >JOB SPECIFICATIONS</span></strong></p>
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<p ><strong><span >Academic and professional<br>qualifications</span></strong></p>
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<p ><span >• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Cybersecurity, or a related field.</span></p>
<p ><span >• Relevant professional certifications in backup technologies, storage platforms, disaster recovery, cloud infrastructure, IT service management, or information security are preferred.</span></p>
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<p ><strong><span >Years and Nature of<br>Experience</span></strong></p>
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<p ><span >• 7–10 years of relevant experience in IT infrastructure, backup and recovery, storage administration, file services, disaster recovery, or related technology operations.</span></p>
<p ><span >• Experience leading technical workstreams or providing senior technical guidance for backup, storage, recovery, and infrastructure service continuity.</span></p>
<p ><span >• Experience in managing critical infrastructure services, data protection controls, capacity planning, incident resolution, service monitoring, and operational governance.</span></p>
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<p > </p>
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<p ><strong><span >VERSION TRACKING</span></strong></p>
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<p ><strong><span >Prepared by:</span></strong></p>
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<td colspan="2">
<p > </p>
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<p ><strong><span >First review by:</span></strong></p>
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<p > </p>
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<p ><strong><span >Approved by:</span></strong></p>
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<p ><strong><span >Name</span></strong></p>
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<p > </p>
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<p > </p>
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<p ><strong><span >Signature</span></strong></p>
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<p > </p>
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<p > </p>
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<p ><strong><span >Date</span></strong></p>
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<td >
<p > </p>
</td>
</tr>
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</table>
</div>
<p > </p>
</span>
Confidential
Saudi - Al Ahsa
We are looking for Data Analyst to join our team at Khobar.<br>Qualifications:<br>Bachelor's degree in Finance, Accounting or MIS.1 - 3 years of experience. Advanced Excel skills.
Saudi - Riyadh
<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist (Time Series Forecasting) based in Saudi Arabia.<br><br></strong>Join a data-driven team developing advanced forecasting solutions that power a live energy trading platform. In this role, you will build and optimize time series models to predict weather conditions, energy market prices, and electricity grid supply and demand. Your work will directly support data-informed trading decisions by transforming analytical models into reliable, production-ready code. You will collaborate in a fully remote, distributed environment where quantitative expertise, technical excellence, and practical problem-solving are highly valued. Leveraging Python, SQL, and modern AI-powered coding tools, you will help bridge the gap between sophisticated forecasting techniques and real-world business applications. This opportunity is ideal for a hands-on data scientist who enjoys solving complex prediction challenges and delivering measurable impact in the evolving energy sector.<br><br><strong>Accountabilities<br><br></strong><ul><li>Time Series Forecasting: Design, develop, and refine forecasting models for weather conditions, energy market prices, and electricity grid supply and demand.</li><li>Production Model Development: Translate forecasting algorithms and analytical models into robust, scalable, production-ready code that integrates with and powers a live energy trading platform.</li><li>Data Analysis & Model Optimization: Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to support reliable, data-driven trading decisions.</li><li>AI-Assisted Development: Incorporate agentic coding tools into daily development workflows to accelerate implementation, improve productivity, and support efficient software development.</li><li>Technical Integration: Work with data pipelines, analytical systems, and production environments to ensure forecasting solutions are reliable, maintainable, and suitable for operational use.</li><li>Cross-Functional Collaboration: Communicate technical findings, explain forecasting approaches, and collaborate effectively with distributed teams to align model development with business and platform requirements.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Educational Background: Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely related quantitative discipline.</li><li>Professional Experience: At least three years of relevant professional experience in data science, quantitative analysis, forecasting, or a related field.</li><li>Time Series Forecasting Expertise: Demonstrated experience developing and applying time series forecasting models, with the ability to translate quantitative methods into practical solutions.</li><li>Programming Skills: Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Experience with Go is considered an advantage.</li><li>Agentic Coding Tools: Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the ability to integrate AI-assisted techniques effectively into software development.</li><li>Communication Skills: Excellent English communication skills, including the ability to explain technical concepts clearly and collaborate with stakeholders in a remote, international environment.</li><li>Analytical & Problem-Solving Abilities: Strong quantitative reasoning, attention to detail, and a practical approach to addressing complex forecasting challenges and improving model performance.</li><li>Preferred Industry Knowledge: Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully Remote Work: Work remotely from anywhere in a distributed team environment.</li><li>International Collaboration: Opportunity to contribute to a global energy trading platform and collaborate with professionals across different locations.</li><li>Meaningful Technical Impact: Develop forecasting solutions that support real-world energy market decisions and operational trading activities.</li><li>Advanced Data Science Challenges: Work on practical applications of time series forecasting involving weather, market prices, and electricity supply and demand.</li><li>Modern Development Practices: Use agentic coding tools and contemporary development workflows to improve productivity and streamline model implementation.</li><li>Professional Growth: Strengthen your expertise in quantitative modeling, production-grade data science, and applied forecasting in the energy sector.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>