senior data engineer

senior devops engineer

software engineer

4261- data engineer

ai engineer

senior database engineer

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

Innovaccer

<div>About the Role 
As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure &mdash; designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.
A Day in the Life<ul><li>
Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.</li><li>
Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.</li><li>
Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.</li><li>
Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.</li><li>
Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.</li><li>
Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.</li><li>
Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.</li></ul> 
What You Need
Knowledge<ul><li>
Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.</li><li>
Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.</li><li>
Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.</li></ul>
Abilities<ul><li>
Ability to write clean, efficient, and well-documented code in Python and SQL.</li><li>
Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.</li><li>
Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.</li></ul>
Credentials &amp; Experience<ul><li>
 3&ndash;6 years of hands-on experience in data engineering or a closely related role.</li><li>
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>
Proven experience with distributed processing frameworks such as Apache Spark or Kafka.</li><li>
Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.</li><li>
Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.</li></ul>
Preferred Skills<ul><li>
Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.</li><li>
Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.</li><li>
Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.</li><li>
Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.</li><li>
Experience working in an Agile/Scrum environment with cross-functional global teams.</li><li>
Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.</li></ul>
We offer competitive benefits to set you up for success in and outside of work. 
Here&rsquo;s What We Offer<ul><li>
Generous Leaves: Enjoy generous leave benefits of up to 40 days.</li><li>
Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition.</li><li>
Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most.</li><li>
Care Program: Whether it&rsquo;s a celebration or a time of need, we&rsquo;ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need.</li><li>
Financial Assistance: Life happens, and when it does, we&rsquo;re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most.</li></ul>
Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer:
Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. 
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com.
Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web</div>

4261- Data Engineer

Prime Gate

<div><h2 class="jobSectionHeader">About the Role</h2>
We are looking for a highly skilled Software Engineer to join our team in Hafar Al-Batin. The successful candidate will be responsible for designing, developing, testing, implementing, and maintaining software systems and web applications that support business operations and strategic objectives. The ideal candidate should possess strong problem-solving skills, experience in full software development lifecycle processes, and the ability to work collaboratively within a dynamic environment. 
 
Key Responsibilities<ul><li>
Design, implement, and maintain database solutions to ensure high availability, scalability, and reliability.</li><li>
Monitor database performance and optimize queries, indexes, and database structures.</li><li>
Manage backup, recovery, and disaster recovery processes.</li><li>
Implement database security policies, access controls, and compliance standards.</li><li>
Troubleshoot database-related issues and provide timely resolutions.</li><li>
Collaborate with development and infrastructure teams to support business applications.</li><li>
Perform database upgrades, patches, and migrations when required.</li><li>
Develop and maintain database documentation, procedures, and best practices.</li><li>
Ensure data integrity, consistency, and availability across all systems.</li><li>
Proactively identify opportunities for database performance improvements. 
 
Required Qualifications<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field.</li><li>
Minimum 4 years of experience in Database Administration or Database Engineering.</li><li>
Strong experience with Oracle Database, Microsoft SQL Server, and/or PostgreSQL.</li><li>
Advanced knowledge of SQL, query optimization, and database tuning.</li><li>
Experience in backup and recovery management.</li><li>
Knowledge of database security and access management.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication skills in both Arabic and English.</li></ul></li></ul></div>

Software Engineer

Hudson Manpower

<div>We have an urgent opening with one of our prestigious clients in Saudi Arabia for the following position:<h3 class="jobSectionHeader">
Position: Senior Civil / Construction Engineer</h3>
Project:Residential &amp; High-Rise Buildings 
Location: Saudi Arabia
Salary: SAR 10,000 &ndash; 12,000 Basic + Food, Accommodation &amp; Transportation (FAT)<h3 class="jobSectionHeader">
Job Requirements:</h3><ul><li>
Bachelor's Degree in Civil Engineering.</li><li>
Minimum 10+ years of experience in Civil/Construction.</li><li>
Minimum 8&ndash;10 years of experience in Residential and High-Rise Building Projects.</li><li>
At least 3+ years of experience as a Senior Engineer, Lead Engineer, or Project Lead.</li><li>
Strong experience in construction execution, project coordination, and site management.</li></ul><div>
Nationality: As per the client's approved visa allocation and project requirements.</div>
If you are interested in this opportunity, kindly reply with the following details:
We look forward to hearing from you. 
Strong business development experience with ARAMCO and SABIC.</div>

Senior Civil/Construction Engineer | Saudi Arabia

Mirai, a Scopely company

<div>
 Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on.
 
 
 We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage
 </li>
 <li>
 Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes
 </li>
 <li>
 Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic
 </li>
 <li>
 Add quality checks, validation, and monitoring so problems surface before they reach a model or a user
 </li>
 <li>
 Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows
 </li>
 <li>
 Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services
 </li>
 <li>
 Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads
 </li>
 <li>
 Review code, write the documentation, and help shape how the team builds its data layer
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background
 </li>
 <li>
 Strong SQL and strong Python, including PySpark or similar distributed processing
 </li>
 <li>
 Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse
 </li>
 <li>
 Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated
 </li>
 <li>
 Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors
 </li>
 <li>
 Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium
 </li>
 <li>
 Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer
 </li>
 <li>
 Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus
 </li>
 <li>
 Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi
 </li>
 <li>
 Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps
 </li>
 </ul>
</div>

Senior Data Engineer

2P Perfect Presentation

<div>
 
 We are seeking a highly skilled Senior .NET Backend Developer to design, develop, and maintain enterprise-grade backend systems, APIs, and integrations. The ideal candidate will have strong expertise in Microsoft technologies, software architecture principles, database development, and secure application design while contributing to scalable and high-performance digital solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain backend services and Web APIs using .NET Core, ASP.NET Core, C#, MVC, and RESTful APIs.
 </li>
 <li>
 Build scalable, secure, and high-performance enterprise applications following modern software engineering best practices.
 </li>
 <li>
 Design and optimize database structures, stored procedures, queries, and indexing using SQL Server and T-SQL.
 </li>
 <li>
 Develop and maintain applications using ASP.NET MVC, Razor Pages, Entity Framework Core, and Dependency Injection.
 </li>
 <li>
 Implement authentication and authorization mechanisms using ASP.NET Identity, OAuth2, and OpenID Connect (OIDC).
 </li>
 <li>
 Integrate enterprise systems such as Microsoft Dynamics 365 CRM, SharePoint, and third-party platforms through REST and SOAP services.
 </li>
 <li>
 Collaborate with frontend developers and UI/UX teams to deliver integrated end-to-end solutions.
 </li>
 <li>
 Deploy, host, and maintain applications on IIS, Azure environments, and containerized platforms.
 </li>
 <li>
 Participate in CI/CD implementation using Azure DevOps, GitHub Actions, or equivalent tools.
 </li>
 <li>
 Conduct code reviews, enforce coding standards, and mentor junior developers.
 </li>
 <li>
 Develop and maintain unit and integration tests to ensure code quality and system reliability.
 </li>
 <li>
 Troubleshoot, diagnose, and resolve application and performance issues.
 </li>
 <li>
 Maintain technical documentation including APIs, architecture diagrams, deployment procedures, and development standards.
 </li>
 <li>
 Participate in Agile development activities including sprint planning, estimation, reviews, and retrospectives.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or an equivalent field.
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 Minimum of 5 years of hands-on experience as a .NET Backend Developer.
 </li>
 <li>
 Proven experience developing enterprise web applications and backend services using Microsoft technologies.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 .NET Core / ASP.NET Core
 </li>
 <li>
 C#
 </li>
 <li>
 ASP.NET MVC
 </li>
 <li>
 ASP.NET Razor
 </li>
 <li>
 Entity Framework Core (EF Core)
 </li>
 <li>
 Web API Development
 </li>
 <li>
 Object-Oriented Programming (OOP)
 </li>
 <li>
 SOLID Principles and Design Patterns
 </li>
 <li>
 Dependency Injection (DI)
 </li>
 <li>
 Database Design and Optimization
 </li>
 <li>
 SQL Server, T-SQL, and Indexing
 </li>
 <li>
 ASP.NET Identity
 </li>
 <li>
 OAuth2 and OpenID Connect (OIDC)
 </li>
 <li>
 JavaScript and jQuery
 </li>
 <li>
 IIS Hosting and Application Deployment
 </li>
 <li>
 Git and TFS
 </li>
 <li>
 Visual Studio and VS Code
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with Azure Cognitive Services, ML.NET, or AI-enabled application development.
 </li>
 <li>
 Knowledge of Docker and containerized deployments.
 </li>
 <li>
 Experience with Azure DevOps and CI/CD pipelines.
 </li>
 <li>
 Familiarity with cloud-native application architecture and microservices.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to design scalable and maintainable software solutions.
 </li>
 <li>
 Strong understanding of software architecture and secure coding practices.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 <li>
 Ability to work effectively in Agile and fast-paced development environments.
 </li>
 </ul>
 
 
</div>

Senior Back-End .NET Developer

DeepSource Technologies

<div>DeepSource Technologies is looking for a Senior Cloud Infrastructure Engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.
Key Responsibilities:<ul><li>
Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li><li>
Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li><li>
Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li><li>
Ensure compliance with security best practices and governance policies in cloud environments.</li><li>
Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li><li>
Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li><li>
Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li></ul> 

Requirements 
<ul><li>
10+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li><li>
Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li><li>
Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li><li>
Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li><li>
Strong understanding of networking, security, and compliance in cloud environments.</li><li>
Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li><li>
Good communication skills and ability to work in a dynamic team environment.</li></ul> 

Benefits 
This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:<ul><li>
Global Mobility: Full coverage of Visa costs and Airline tickets (Round trip).</li><li>
Medical Insurance</li></ul></div>

Senior Cloud Infrastructure Engineer GCP - Riyadh, KSA

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