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data engineer

Talogy Middle East & Africa

<div>
 
 
 About Talogy
 
 
 
 At Talogy, our mission is to help people meet their potential. That is our core purpose, enabling our vision to empower people in their careers and drive organizational success. We achieve this by being the one workforce solutions provider that fuses science, technology and expertise to deliver best-in-class testing, assessment and development products and services.
 
 
 Talogy&rsquo;s culture is as strong as the people who embody our core values. These include our drive to work together as one team, to be dependable in our pursuit of rigor and excellence, to value people and respect everyone&rsquo;s talents, to embrace diversity in perspectives and culture, and to think creatively with the willingness to experiment.
 
 
 Learn more about what we do at: www.talogy.com
 
 
 
 
 
 
 Why This Role is Important to Talogy
 
 
 
 Access to data and information is important to enable timely and informed business decisions to be made or to meet contractual or compliance requirements. Developer as part of data platform engineering team ensure that data is available, secure and comply with Talogy policies all the time across the globe.
 
 
 
 
 
 
 Who We Are Looking For
 
 
 
 This opportunity is ideal for a determined and proactive individual who is willing to develop their skills in a variety of technical disciplines. This role requires an analytical thinker who pays significant attention to detail in their work.
 
 
 The Data Engineer will spend most of their time working in the space of managing databases and database servers ensuring database health, availability, security and backups etc as well as developing and supporting SSIS packages, ADF pipelines, SSRS and Power BI reports/dashboards,
 
 
 We are looking for an experienced Data Engineer who has multi-vendor management databases administration and design experience as well as extensive experience with Azure cloud databases. We have MS SQL servers, Azure SQL databases, Azure Cosmos databases, multiple SSIS packages, ADF/Fabric pipelines, Power BI dashboards, multiple ETL packages with diverse data sources and are looking for someone with experience in most of the above (if not all).
 
 <ul>
 <li>
 Degree in a computer science or related field or equivalent experience.
 </li>
 <li>
 High degree of intellectual curiosity; constantly think about how we can improve our process and produce excellent high-quality solutions for our customers.
 </li>
 </ul>
 
 
 
 
 
 Core Responsibilities
 
 
 
 The Data Engineer is primarily responsible for:
 
 <ul>
 <li>
 Understanding business needs and designing and building solutions that meet those needs. Capable of designing and defending a solution.
 </li>
 <li>
 Managing and maintaining SQL Servers, Azure SQL databases, Azure Cosmos Databases
 </li>
 <li>
 Developing, Managing and maintaining SSIS packages, ADF/Fabric pipelines.
 </li>
 <li>
 BAU support for all SQL and NoSQL servers/databases including patching.
 </li>
 <li>
 Work closely with development, infrastructure, DevOps and client solutions and endeavour to provide best services.
 </li>
 <li>
 Support in building resilient, reliable, secure and cost-effective solutions.
 </li>
 <li>
 Staying ahead of issues with proactive monitoring and alerting.
 </li>
 <li>
 Implementing best practices.
 </li>
 </ul>
 
 
 
 
 
 Role Requirements
 
 
 <ul>
 <li>
 Strong experience as MS SQL, Azure SQL and Cosmos DBs database administrator.
 </li>
 <li>
 End-to-end knowledge from databases architecture to implementation, deployment and administration.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSIS packages involving scripting tasks.
 </li>
 <li>
 Experience in Azure cloud data technologies including Azure SQL database, Azure SQL managed instance and Azure Cosmos DB.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting ADF/Fabric pipelines.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSRS reports/dashboards.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting Power BI dashboards and reports.
 </li>
 <li>
 In depth experience and knowledge of Power BI architecture, components and troubleshooting.
 </li>
 <li>
 Strong experience and knowledge of Python.
 </li>
 <li>
 Experience of using GitHub or similar repositories collaboration and version controls.
 </li>
 <li>
 Maintain technical documentation and source control related to project design and implementation.
 </li>
 <li>
 Monitor performance of database systems resources and query throughput.
 </li>
 <li>
 Optimize Code/scripts as necessary, monitor and maintain databases at database and OS level.
 </li>
 <li>
 Monitor and maintain databases to have up to date backups as per company SLAs.
 </li>
 <li>
 Nice to have knowledge of DevOps repositories, CI/CD pipelines.
 </li>
 <li>
 Expert in writing TSQL queries, functions, stored procedures, views etc.
 </li>
 <li>
 Experience with Azure AI Foundry will be beneficial.
 </li>
 <li>
 Some knowledge of .Net/C# required.
 </li>
 <li>
 Azure/SQL/NoSQL or other database certification desirable.
 </li>
 <li>
 Participation in On-Call rotations or Shift work as required by specific role or assignment.
 </li>
 <li>
 Excellent communication skills, both verbal and written.
 </li>
 <li>
 Comfortable working with staff at all levels.
 </li>
 <li>
 Ability to self-organise, prioritise and track tasks.
 </li>
 <li>
 Can work on their own or as part of a team.
 </li>
 </ul>
</div>

Data Engineer

Tandem Search

<div>
 
 
 Position: Data Engineer
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 
 
 
 Job Purpose:
 
 
 
 Our client, a leading IT company seeking
 
 mid-senior level Data Engineers
 
 to design and maintain scalable data pipelines and infrastructure that support analytics, AI initiatives, and enterprise data driven solutions across cloud and on premise environments.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain scalable ETL/ELT pipelines and distributed data processing workflows
 </li>
 <li>
 Manage data warehouses, data lakes, and streaming platforms while ensuring performance, scalability, and reliability
 </li>
 <li>
 Integrate and transform data from APIs, databases, flat files, and real-time streaming sources
 </li>
 <li>
 Implement data governance, validation, monitoring, and security best practices across the data ecosystem
 </li>
 <li>
 Collaborate with data scientists, ML engineers, and business teams to deliver reliable and accessible datasets
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Minimum 5 years of experience
 
 in data engineering or large-scale backend data systems
 </li>
 <li>
 Strong experience with
 
 Apache Spark
 
 ,
 
 Hadoop, Flink, SQL/NoSQL
 
 databases, and data warehousing solutions such as Snowflake or BigQuery
 </li>
 <li>
 Proficiency in
 
 Python, SQL, Bash scripting,
 
 ETL/ELT development, and API-based integrations
 </li>
 <li>
 Familiarity with
 
 Kafka, Kinesis,
 
 CI/CD pipelines, and DevOps practices
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical thinking and troubleshooting capabilities
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 High attention to detail with a strong quality mindset
 </li>
 <li>
 Ability to work effectively in fast-paced and cross-functional environments
 </li>
 <li>
 Strong ownership, reliability, and continuous improvement mindset
 </li>
 </ul>
 
 
 
 
 
 If you&rsquo;re passionate about building scalable data platforms and solving complex engineering challenges in a fast-paced environment, we encourage you to apply today!
 
 
</div>

Heidelberg Materials Trading

<div>
 
 Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 
 
 
 
 
 Data Engineer
 
 
 
 
 
 
 
 About the Role:
 
 
 
 This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
 </li>
 <li>
 Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
 </li>
 <li>
 Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
 </li>
 <li>
 Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
 </li>
 <li>
 Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
 </li>
 <li>
 Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
 </li>
 <li>
 Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
 </li>
 <li>
 Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
 </li>
 <li>
 Contribute to data governance, security standards, and consistent documentation practices.
 </li>
 <li>
 Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
 </li>
 <li>
 Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
 </li>
 <li>
 Strong SQL skills with experience working on relational databases and transformation logic.
 </li>
 <li>
 Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
 </li>
 <li>
 Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
 </li>
 <li>
 Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
 </li>
 <li>
 Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
 </li>
 <li>
 Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
 </li>
 <li>
 Strong communication skills with the ability to translate technical detail into clear business language.
 </li>
 <li>
 Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
 </li>
 <li>
 Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
 </li>
 <li>
 Experience in trading, logistics, or supply chain environments is beneficial.
 </li>
 <li>
 Familiarity with Azure‑based cloud data architectures is preferred.
 </li>
 </ul>
 
 
 
 
 
 
 We thank all applicants for their interest, but only shortlisted candidates will be contacted.
 
 
 
 
 All applications will be kept strictly confidential.
 
 
</div>

Edenred

<div>Take a step forward and let Edenred surprise you.
Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.
We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.
Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.
We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
<ul><li>The Role
</li></ul>We&rsquo;re looking for a Data Engineer Lead to architect, build, and scale the next generation of our data platform from the ground up. This role is ideal for someone who thrives in highimpact‑ environments, enjoys solving complex technical challenges, and wants to shape the long‑term data strategy of a fast‑growing business. You&rsquo;ll work closely with engineering, product, analytics, and business teams to design modern data foundations that enable reliable insights, advanced analytics, and innovation across the organization. This is a unique opportunity to own the full lifecycle of our data ecosystem and influence how data powers decision‑making at scale.
<ul><li>Responsibilities
 
</li></ul><ul><li>Lead the end‑to‑end design, development, and scaling of a modern data platform on Azure and Databricks.
</li><li>Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products.
</li><li>Define and enforce best practices for data modeling, governance, quality, and security across all environments.
</li><li>Partner with cross‑functional teams to understand business needs and translate them into scalable technical solutions.
</li><li>Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence.
</li><li>Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement.
</li><li>Drive continuous innovation by evaluating new tools, technologies, and architectural approaches.
</li></ul><ul><li>YOUR PROFILE
 </li></ul><ul><li>7+ years of experience in data engineering, including at least 3 years in a senior or lead role.
</li><li>Proven experience designing and building a data platform from scratch in Azure and Databricks environments.
</li><li>Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory (Certified Data Engineer by Azure/Certified Data Engineer Databricks is a plus)
</li><li>Strong proficiency in Python, PySpark, and SQL, with handson experience processing largescale datasets.
 </li><li>Solid understanding of data modeling, Medallion Architecture, and bestinclass data governance practices.
</li><li>Experience leading technical teams, setting engineering standards, and mentoring others.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics,Mathematics, or a related field&mdash;or equivalent practical experience.
</li><li>A collaborative, proactive problemsolver with strong communication skills and the ability to work effectively across diverse teams.
</li></ul><ul><li>REPORTING STRUCTURE:
</li></ul>The selected candidate will report directly to the Data Manager who is responsible for ensuring that projects and applications are managed appropriately.
<ul><li>The Data Engineer Lead will work closely with engineering, product, IT, and business stakeholders to design and scale the data platform that underpins analytics, reporting, and advanced data products across the organization. This role requires strong partnership with data analysts, data scientists, and domain experts to ensure data solutions are aligned with business needs and deliver measurable impact. The selected candidate will report directly to the Data Manager and will play a key role in guiding technical decisions, influencing data strategy, and ensuring that data initiatives are executed effectively and collaboratively.
</li></ul>Apply now and Vibe with Us!</div>

Data Engineer Lead

Maaloomatiia Academy

<div>
 
 Job Title
 
 
 
 
 Cloudera Data Engineer
 
 
 
 
 Job Scope
 
 
 
 We are seeking an experienced
 
 Cloudera Data Engineer
 
 with strong hands-on expertise in
 
 Cloudera CDP, Hadoop, Spark, Hive, and HDFS
 
 . The ideal candidate will be responsible for building and maintaining big data pipelines, optimizing data workflows, and supporting production environments to ensure reliability and performance.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain big data pipelines using Cloudera CDP components.
 </li>
 <li>
 Develop and optimize ETL/ELT workflows using Spark, Hive, and Hadoop ecosystems.
 </li>
 <li>
 Manage and maintain HDFS storage, ensuring high availability and performance.
 </li>
 <li>
 Perform production support activities, including issue resolution, monitoring, and performance tuning.
 </li>
 <li>
 Work with data scientists, analysts, and other engineering teams to support data-driven initiatives.
 </li>
 <li>
 Ensure data governance, security, and compliance across big data environments.
 </li>
 <li>
 Troubleshoot cluster-level issues related to resource utilization, scheduling, and configuration.
 </li>
 <li>
 Participate in solution design, architecture discussions, and technical documentation.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Cloudera CDP.
 </li>
 <li>
 Proficiency in Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, Impala.
 </li>
 <li>
 Strong experience working with Apache Spark (PySpark or Scala preferred).
 </li>
 <li>
 Solid understanding of distributed systems and big data architecture.
 </li>
 <li>
 Experience with production support and troubleshooting in big data environments.
 </li>
 <li>
 Strong SQL skills and experience optimizing large-scale queries.
 </li>
 <li>
 Familiarity with Linux, shell scripting, and automation tools.
 </li>
 <li>
 Experience with version control (Git) and CI/CD workflows is a plus.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor's degree in Computer Science or any other related field
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) for big data workloads.
 </li>
 <li>
 Exposure to Kafka, NiFi, Oozie, or similar data orchestration tools.
 </li>
 <li>
 Knowledge of Docker, Kubernetes, or containerized environments.
 </li>
 <li>
 Understanding of security, encryption, and data governance concepts.
 </li>
 </ul>
</div>

Cloudera Data Engineer

DICETEK LLC

<div><ul><li>Design, build, and maintain robust, scalable, and secure ETL/ELT pipelines to ingest structured and unstructured data from internal, external, and third‑party sources.
</li><li>Support the integration, population, and optimization of the organization Data Lakehouse and data platforms in alignment with the approved enterprise data architecture.
</li><li>Ensure data pipelines support both batch and real‑time processing requirements, and are optimized for performance, reliability, and high availability.
</li><li>Collaborate closely with the Data Architect to ensure pipeline designs comply with architectural standards, integration patterns, APIs, and interoperability blueprints.
</li><li>Implement and embed data quality checks, validation rules, metadata capture, lineage tracking, and data classification workflows to support governance and trusted analytics.
</li><li>Monitor the performance, progress, and health of data pipelines and platforms, proactively identifying bottlenecks, failures, and optimization opportunities to improve efficiency and productivity.
</li><li>Enable reliable data provisioning for dashboards, AI/ML models, reporting solutions, and self‑service analytics tools used across the organization.</li><li>Coordinate with business units, analysts, and data scientists to understand requirements and translate them into actionable data engineering tasks and delivery plans.
</li><li>Act as a liaison between the organization's teams and vendors for data platform&ndash;related activities, ensuring alignment on priorities, timelines, and technical deliverables.
</li><li>Document technical designs, configurations, workflows, and building procedures, and support agile project delivery, onboarding of new data sources, and continuous platform improvements.</li><li>Undertake all duties and responsibilities reasonably required and aligned with the data management &amp; governance.</li></ul></div>

Explore 1471+ Data engineer in Dubai United Arab Emirates this June. Find roles across top companies and apply now to boost your career.

1471 data engineer jobs In Dubai United Arab Emirates

Data Engineer

Data Engineer

Data Engineer

Data Engineer Lead

Cloudera Data Engineer

Data Engineer

Data Engineer