201 Azure Data jobs in Saudi Arabia

Role Summary

Translate business needs into trustworthy, actionable analytics across Microsoft Fabric and Azure. Own requirements, documentation, semantic modeling, and BI/AI consumption (Power BI + "Talk-to-Your-Data" assistant powered by Azure OpenAI), with strong focus on data quality, security, and bilingual (Arabic/English) delivery.

Key Responsibilities (Azure-aligned)

1) Requirements & Documentation

• Run workshops; capture detailed business/technical requirements and data lineage.
• Produce BPMN processes and
  data flow diagrams
  mapped to
  Fabric workspaces, Lakehouse/Warehouse tables, and ADF/Fabric Data Pipelines
  .
• Maintain
  business glossary
  (2,000+ attributes) in Purview/Fabric Catalog with owners, PII tags, and quality rules.
• Define
  KPIs/metrics
  and implement in
  Power BI semantic models
  (calculation groups, metrics).

2) Data Ingestion, Quality & Modeling

• Collaborate with data engineers to design
  ADF & Fabric Data Pipelines
  (IRs for on-prem SQL, schedules, triggers, alerts).
• Author
  Dataflows Gen2
  for self-service ingestion; create
  DQ rulesets
  and monitoring (Fabric Monitoring Hub).
• Partner on
  Fabric Lakehouse
  (bronze/silver) and
  Fabric Warehouse
  (star schema, SCDs, keys, partitions, incremental refresh).
• Write SQL/PySpark for profiling, transformations, and reconciliation against source systems.

3) BI Specifications & Delivery (Power BI)

• Define report specs, wireframes, drill paths, and
  Arabic/English localization
  .
• Build performant
  Power BI datasets
  (composite models, Direct Lake/DirectQuery),
  RLS/OLS
  , usage metrics, and endorsements.
• Govern workspace roles, deployment pipelines (Dev/Test/Prod), and
  Git integration (Azure DevOps)
  .

4) AI Experiences ("Talk-to-Your-Data")

• Specify and validate
  RAG
  flows using
  Azure AI Search + Azure OpenAI
  over Fabric data.
• Draft prompt/grounding policies, evaluation criteria (factuality, toxicity), and fallback rules.
• Work with app devs to host the assistant on
  Azure App Service
  (APIM, Managed Identity, Key Vault, Private Link).

5) Testing, UAT & Adoption

• Define UAT scenarios, acceptance criteria, and SLA/OLA for refresh and serving layers.
• Create user guides, training (Arabic/English), and a
  report/catalog portal
  (App Service) with change logs.
• Track adoption and continuously improve based on telemetry.

Required Qualifications

• Bachelor's in Business/Stats/Economics/IT (or equivalent).
• 5–7+ years in analytics/business analysis with
  Power BI
  and strong SQL.
• Hands-on with
  Microsoft Fabric
  (Lakehouse/Warehouse, Dataflows Gen2, Data Pipelines)
  or
  Azure Synapse experience transitioning to Fabric.
• Familiarity with
  Azure Data Factory
  ,
  Azure ML
  basics (experiments, models, endpoints),
  Azure OpenAI
  &
  AI Search
  concepts for RAG.
• Understanding of
  RLS/OLS, dimensional modeling, and cost/perf tuning
  .
• Excellent Arabic & English communication; awareness of KSA data/regulatory context.

Nice-to-Have

• Python/PySpark for data prep; DAX/MDX expertise.
• Azure governance:
  Purview
  ,
  Key Vault
  ,
  Private Link
  ,
  PIM
  ,
  Defender for Cloud
  .
• Certifications:
  DP-600 (Fabric Analytics Engineer)
  ,
  PL-300
  ,
  DP-203
  ,
  AI-102/AI-Engineer
  .

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

About the role …

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing …

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need …

• Proven experience designing and implementing cloud architectures on Azure at scale
• Strong expertise in cloud security, networking, and compliance frameworks.
• Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
• Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
• Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
• Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
• Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
• Strong leadership capabilities with experience managing technical teams and large-scale projects.
• Excellent verbal and written communication skills, including experience creating business-focused presentations.
• Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
• Experience managing senior stakeholders and navigating client discussions effectively.
• Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
• A track record of contributing to business growth through technical innovation and strategic initiatives.

Artefact’s teams are made up of the best experts in their fields, and it’s our biggest responsibility to ensure their professional development and personal wellbeing.

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience in planning and executing the governance of cloud adoption, IT transformation, and cloud migrations, with a focus on data-related projects and technical implementation.
• Experience with SQL databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Experience with data warehouse technologies (e.g., Snowflake, Databricks).

Preferred qualifications:

• Certification in GCP Professional Data Engineer or other relevant cloud certifications.
• Experience with a range of GCP data services (e.g., BigQuery, Dataflow, Dataproc, Cloud Composer).
• Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, Javascript.
• Understanding of the fundamentals of Enterprise IT, cloud technologies, and data engineering principles.

About The Job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customer technical leads, client executives, and partners to manage and deliver successful data-focused implementations and migrations to Google Cloud Platform (GCP), acting as a trusted advisor.
• Translate complex customer data requirements into recommendations for appropriate solution architectures, consulting services, and implementation plans.
• Lead the program management of multi-functional Google Cloud Delivery Center projects, with a focus on data-related deliverables. Build and maintain strong relationships with key client stakeholders.
• Demonstrate deep expertise in data pipelines, data analytics, data visualization techniques, and data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines. Mentor junior consultants and actively participate in community contributions to improve team culture and operations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Overview

Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.

At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations: people, processes, technology, and data . Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.

As a Data Engineer, you’ll play a pivotal role in designing, managing, and optimizing data infrastructure. You’ll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.

Tyde Digital is home to problem-solvers, innovators, and strategic thinkers. If you’re passionate about business transformation, thrive in a collaborative setting, and are driven by results, you’ll fit right in.

• Adaptability in a fast-moving environment
• Proactive problem-solving mindset
• Strong analytical and data-driven decision-making skills
• Meticulous attention to detail
• Commitment to delivering exceptional value to clients
• True passion and pride in the work we deliver

• Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
• Technical Customizations: Deploy technical customizations to pre-packaged software solutions.
• Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
• Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
• Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
• Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
• Solution Development: Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges.

• Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.
• Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
• Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
• KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
• 2+ years of experience in data engineering or a related role.
• Proven experience in data engineering or a related role.
• Proficiency in data pipeline development, including ETL processes.
• Strong programming skills in languages such as Python, C#, or Java.
• Experience in extracting applicable data from databases using SQL.
• Experience in cloud computing platforms (AWS/GCP/Azure).
• Experience with BI tools like Power BI, Tableau, or similar platforms.
• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a cross-functional team environment.
• Knowledge of data governance and security best practices is a plus.
• Excellent verbal and written communication skills.
• Excellent data visualization and communication skills.
• Experience with Power Platform Development applications.
• Experience with custom SharePoint applications and workflows.

We are in a critical phase of growth, which brings incredible opportunities but also unique challenges. Our projects span multiple geographies, often requiring travel and periods of time abroad to ensure seamless delivery and deep client engagement. At the same time, our biggest project isn’t just client-facing it’s also internal. We are constantly refining and improving our own systems and processes to ensure that as we scale, we remain agile and effective.

The pace is fast, and so adaptability is key. However, the rewards of joining at this early stage are immense your work will have a direct impact on the company’s future, and you’ll be in a position to shape the culture, operations, and strategic direction of a business that’s on a rapid growth trajectory.

• Client-First Philosophy: We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics just honest, results-driven solutions.
• Technology Agnostic Excellence: We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
• Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
• Sustainable Client Growth: Our solutions aren’t just about solving today’s challenges they’re about setting the foundation for tomorrow’s innovation and success.
• Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.

Overview

Master Works is looking for a seasoned Data Engineer with over 5 years of experience to design and implement scalable data solutions that drive business insights. The ideal candidate will take ownership of our data architecture while collaborating closely with data scientists, analysts, and other stakeholders to deliver high-quality data products.

• Design, develop, and maintain robust data pipelines and architectures to support data collection, analysis, and reporting needs.
• Implement ETL processes to efficiently extract, transform, and load data from various sources into data storage solutions.
• Optimize existing data systems for performance and scalability, addressing any bottlenecks in processing and storage.
• Ensure data integrity and quality by implementing rigorous testing and monitoring practices.
• Document data architecture, data flow, and pipeline processes to ensure clarity and facilitate maintenance.
• Stay current with industry trends and advancements in data technologies and frameworks.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of proven experience as a Data Engineer or in a related role.
• Strong programming skills in languages such as Python, Java, or Scala.
• Extensive experience with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL technologies (e.g., MongoDB, Cassandra).
• Proficiency in building and optimizing ETL pipelines and utilizing big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving skills and ability to work collaboratively in a dynamic team environment.

Data Engineer

Responsibilities:

1. Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services) and SSRS (Microsoft Reporting Services).
2. Debug, monitor, and troubleshoot BI solutions.
3. Create and deploy reports.
4. Write relational and multidimensional database queries.
5. Modify databases and products according to client needs.
6. Create functional requirements and reports on databases.
7. Design and develop database architectures.
8. Use and implement Data Warehouse tools and concepts.
9. Create development standards that comply with enterprise architecture guidelines.
10. Extract data from multiple structured and unstructured data sources.
11. Develop robust and presentable big data visualizations.
12. Require 3+ years of experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
13. Experience in using data visualization tools (Power BI, Tableau, AWS QuickSight, etc.).
14. Require 3+ years of experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS, with the ability to analyze and debug SQL queries.
15. Require 3+ years of experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
16. Bachelor’s degree in MIS, Computer Science, or a related field, or an equivalent combination of education and experience.

Note: The job description was missing information about whether the position is still active or expired. Assuming it is active unless indicated otherwise.

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth. With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals. Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

We are seeking a skilled Data Engineer to join our team supporting one of the world’s largest payment systems. In this role, you will be responsible for developing data marts and data pipelines that power critical reporting services.

What You’ll Do And What You’ll Need

Your Responsibilities

• Develop and maintain data pipelines using Hadoop, PySpark, and Airflow to ensure efficient and reliable data processing.
• Design and build data marts that support reporting and analytics needs for our payment system clients.
• Collaborate with stakeholders to understand data requirements and deliver anonymized datasets to banks and other clients upon request.
• Write advanced SQL queries for data analysis, supporting both internal and client-driven analytical needs.
• (Optional) Participate in data visualization and dashboarding tasks using Tableau, analyzing and presenting data insights as needed.

Required

• Strong experience with SQL and Python .
• Hands-on experience with Hadoop, PySpark, and Airflow.
• Ability to analyze and process large-scale datasets.
• Good communication skills and the ability to translate business requirements into technical solutions.
• Readiness to business trip to UAE, Saudi Arabia if needed.
• Proficiency in English.
• Experience working with enterprise customers in Fintech
• Experience with Tableau or similar data visualization tools.
• Proficiency in Arabic

Leave your resume, and we will contact you

1. Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
2. Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
3. Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
4. Optimize data storage and access strategies for improved performance and efficiency.
5. Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
6. Create comprehensive documentation for data workflows and system architecture.

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.