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4261 data engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 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.
 
 
 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.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; 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 &ndash; 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 &ndash; 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 &ndash; 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,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
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 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
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 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
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 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
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 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
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 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
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 Knowledge of metadata management and integration with data catalogs.
 </li>
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 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Data Engineer

IntelliSense.io

<div><h1 class="jobSectionHeader">Join IntelliSense.io and help build the future of Scientific Intelligence</h1>
Are you passionate about building scalable data systems and solving complex technical challenges? We're looking for a Backend Engineer to join our dynamic, global team.
At IntelliSense.io, we're pioneering Objective AI (ODAI), combining fundamental physics with AI to understand and characterise the physical world. Our platform delivers high-value decision recommendations, acting as role-specific co-pilots that augment human intelligence or enable autonomous systems. In short, we're building the brains behind smarter, more efficient operations.<h2 class="jobSectionHeader">
What you'll be working on</h2>
As a Backend Engineer, you'll design and implement robust data solutions that meet both internal and client needs. You'll also play a key role in shaping how we build software, setting standards, and helping teams deliver high-quality work.
Key responsibilities include:<ul><li>
Extracting requirements, designing, developing, and testing software applications</li><li>
Liaising with different teams, including QA team and data scientists to ensure the best processes are used to create the best outcome of a product</li><li>
Troubleshooting and resolving issues related to applications and services</li><li>
Identifying bugs in the microservices and proposing solutions to fix them</li><li>
Collaborating with the data science team to integrate equipment/process models into software components and services</li><li>
Applying principles, best practices, and techniques of engineering, mathematics, and computer science to software development</li><li>
Defining and implementing Unit Test codes, and providing test coverage for the developed software components or services</li><li>
Writing and maintaining documentation for all services and their dependencies</li></ul><h4 class="jobSectionHeader">
What we're looking for</h4><ul><li>
Experience in software engineering, with a strong focus on data systems</li><li>
Proficiency in Java and Node.js</li><li>
SQL skills and experience with both relational and NoSQL databases</li><li>
Hands-on experience with message queues (e.g. NATS, Pub/Sub)</li><li>
Experience building web services using REST and SOAP</li><li>
Working knowledge of Kubernetes and Docker</li><li>
Excellent communication skills and confidence working in distributed teams</li><li>
A degree in Computer Science (or a related field), or equivalent practical experience</li><li>
Fluency in English and Arabic languages</li></ul><h4 class="jobSectionHeader">
Bonus points for</h4><ul><li>
Familiarity with Python</li></ul><h2 class="jobSectionHeader">
Why join us?</h2><ul><li>
Opportunity to work on cutting-edge technology and meaningful data challenges</li><li>
A collaborative, global team of talented engineers and domain experts</li><li>
A continuous learning environment with real opportunities to grow and lead</li></ul><h2 class="jobSectionHeader">
Location</h2>
This role is remote but must be based in Saudi Arabia.<h2 class="jobSectionHeader">
Apply today</h2>
We actively encourage applications from people of all backgrounds. If this role excites you, even if you don't meet every requirement, we'd love to hear from you. 
You belong here. Let's build something extraordinary together.</div>

Backend Engineer

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.
 
 
 This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
 </li>
 <li>
 Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
 </li>
 <li>
 Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
 </li>
 <li>
 Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
 </li>
 <li>
 Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
 </li>
 <li>
 Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
 </li>
 <li>
 Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
 </li>
 <li>
 Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.
 
 
 </li>
 </ul>
 
 Minimum Qualification, Experience And Competencies
 
 
 
 
 Minimum Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
 </li>
 <li>
 Master&rsquo;s degree preferred; OT systems exposure is an advantage.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 10&ndash;15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
 </li>
 <li>
 Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
 </li>
 <li>
 Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
 </li>
 <li>
 Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
 </li>
 <li>
 Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
 </li>
 <li>
 Vendor assurance and technical governance for complex multi-site delivery programs.
 </li>
 </ul>
</div>

Principal Specialist, Engineering and ETL (OT)

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
 <li>
 Deploying deep learning and generative models into production for public and private sector projects
 </li>
 <li>
 Optimizing ML training and inference for performance, latency, and scalability
 </li>
 <li>
 Monitoring, retraining, and improving deployed ML models
 </li>
 <li>
 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
 <li>
 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
 <li>
 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
 </li>
 <li>
 Develop backend services and APIs to expose AI capabilities securely and reliably
 </li>
 <li>
 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
 </li>
 <li>
 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
 <li>
 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
 </li>
 <li>
 Strong track record of projects across public and private sectors
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines
 </li>
 <li>
 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
 </li>
 <li>
 Experience building data ingestion, transformation, and processing pipelines
 </li>
 <li>
 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
 </li>
 <li>
 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
 </li>
 <li>
 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
 </li>
 <li>
 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
 </li>
 <li>
 Ability to independently build functional AI applications from prototype through production
 </li>
 <li>
 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

Avensys Consulting

<div>
 
 Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
 
 
 
 
 
 We are currently looking to hire an
 
 UC Senior Technical Support Engineer
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 
 
 
 Email - parul.sharma@aven-sys.com
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a skilled unified communication Engineer (Avaya , Cisco ) to join our team. The ideal candidate should have proven experience implementing, and supporting AVAYA Aura solutions , Cisco unified communications , Session boarder controllers and contact center is a plus, with a strong background in telecommunications and related technologies. This role involves working closely with clients to solve complex technical issues ,applying change requests ,implementation and support phases of projects.
 
 
 
 
 
 Must Haves:
 
 
 
 5+ years experience working with unified communication , call center systems .
 
 
 Strong knowledge of VoIP protocols such as SIP, H.323, DHCP, DNS, LAN, and WAN technologies.
 
 
 Technical Certifications from Avaya , Cisco , Genesys .,etc.
 
 
 Experience with virtualization platforms and cloud environments is a plus.
 
 
 Excellent problem-solving skills and ability to communicate technical concepts effectively.
 
 
 
 
 
 WHAT&rsquo;S ON OFFER
 
 
 
 You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.
 
 
 To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to parul.sharma@aven-sys.com. Your interest will be treated with strict confidentiality.
 
 
 CONSULTANT DETAILS
 
 
 Consultant Name: Parul Sharma
 
 
 Avensys Consulting Pte Ltd
 
 
 EA Licence 12C5759
 
 
 Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.
 
</div>

Unified communication Engineer

Bayt Almaloumat Alarabiya For Information Technology

Senior IT Infrastructure &amp; Systems Engineer (Arabic speakers only)Location: [Riyadh, Saudi Arabia] Employment Type: Full-Time Experience: Minimum 3 YearsJob SummaryWe are looking for a hands-on Senior IT Infrastructure &amp; Systems Engineer with proven experience in Microsoft 365, servers, virtualization, networking, firewalls, backup, and data center projects.The candidate will be responsible for designing, implementing, migrating, and supporting IT infrastructure solutions for customers.Key Responsibilities<ul><li>Perform Microsoft 365 email, Teams, OneDrive, and SharePoint migrations.</li><li>Support Microsoft CSP customers and troubleshoot Microsoft 365 services.</li><li>Install and configure FortiGate firewalls, security policies, NAT, VPN, IPS, and web filtering.</li><li>Install and configure physical servers, Windows Server, SQL Server, and Active Directory.</li><li>Install and manage VMware ESXi and vSphere environments.</li><li>Redesign existing networks, create VLANs, and implement network segmentation.</li><li>Install and configure Veeam Backup &amp; Replication.</li><li>Design and implement server high-availability, backup, and disaster recovery solutions.</li><li>Upgrade and reorganize existing data centers, including racks, cabling, power, labeling, and equipment installation.</li><li>Prepare network diagrams, implementation plans, technical documentation, and handover reports.</li><li>Provide on-site and remote technical support to customers.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in IT, Computer Science, Computer Engineering, or a related field.</li><li>Minimum 3 years of proven hands-on experience in IT infrastructure and system integration.</li><li>Strong experience with:</li><li>Microsoft 365 and email migrations</li><li>Windows Server and Active Directory</li><li>Fortinet FortiGate</li><li>VMware virtualization</li><li>Veeam Backup &amp; Replication</li><li>SQL Server installation</li><li>VLANs, routing, switching, and network security</li><li>Server high availability and disaster recovery</li><li>Data center implementation and renovation</li><li>Strong troubleshooting, documentation, and customer communication skills.</li><li>Ability to manage customer projects independently.</li></ul>Preferred CertificationsMicrosoft, Fortinet, VMware, Veeam, Cisco, or equivalent certifications are preferred.Candidates should include details of relevant projects in their CV.Job Type: Full-timeExperience:<ul><li>Install and configure FortiGate firewalls, security policies: 3 years (Required)</li><li>Windows Server , SQL Server installation ,Active Directory: 3 years (Required)</li><li>VMware virtualization: 3 years (Required)</li><li>VLANs, routing, switching, and network security: 3 years (Required)</li><li>Microsoft 365 and email migrations: 3 years (Required)</li><li>Ability to manage customer projects independently: 3 years (Required)</li><li>chatgpt and claude: 2 years (Required)</li></ul>Work Location: In person

IT Infrastructure & Systems Engineer

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230 4261 data engineer jobs In Riyadh

Data Engineer

Data Engineer

Backend Engineer

Principal Specialist, Engineering and ETL (OT)

AI Engineer

Unified communication Engineer

IT Infrastructure & Systems Engineer