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Senior Engineer - Data Platform

Overview:

Space42 (ADX: SPACE42) is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics and artificial intelligence capabilities to enlighten the Earth from space. Established in 2024 following the successful merger between Bayanat and Yahsat, Space42’s global reach allows it to address the rapidly evolving needs of its customers in governments, enterprises, and communities. Space42 comprises of two business units: Yahsat Space Services and Bayanat Smart Solutions. The Yahsat Space Services unit focuses on upstream satellite operations for both fixed and mobility satellite solutions. The Bayanat Smart Solutions unit integrates geospatial data acquisition and processing with AI to inform decision-making, enhance situational awareness, and improve operational efficiency. Space42’s major shareholders include G42, Mubadala and IHC.

Our vision is to pioneer beyond today for humanity to experience a better tomorrow. Space42 challenges traditional approaches with advanced AI and cutting-edge satellite technology, making space more accessible and redefining how data from space can be used on Earth. We aim to achieve this by connecting people to rewire potential, informing decisions to reimagine impact and enabling action to redefine tomorrow. We are guided by our core principles; we have foresight and are reshaping the status quo with a view of the future and beyond; we fuel change by going beyond words, rolling up our sleeves and building things that have never been built before; we bring our finest to go beyond good, to bring the best in class in every offering through our people, partners and providers.

For more information, visit www.space42.ai; follow us on X @Space42ai, Instagram @Space42ai.

 

We are looking for a forward-thinking and hands-on Data Platform Engineer to take ownership of our central data platform and play a key role in shaping the future of data infrastructure across the organization. This is a brand-new role, offering the opportunity to help build the team and capability from the ground up.
The role will be responsible for designing, implementing, and maintaining scalable data pipelines from various source systems into the central platform. Working within the Data & Analytics team, you will ensure robust, secure, and high-performing data infrastructure is in place to support the organization’s data needs—now and into the future. This includes supporting project teams across the business, and help embed best practices for data ingestion, processing, and governance.

Responsibilities:

  • Design, build, and maintain a modern, scalable, and secure data platform in Azure to support enterprise-wide data initiatives.
  • Develop and manage data pipelines and integration workflows using Azure-native tools such as Azure Data Factory, Synapse, Data Lake, and Fabric.
  • Partner with Data Architects, Analysts, and business stakeholders to ingest and organize data from various systems including ERP, CRM, and other enterprise platforms.
  • Lead or contribute to the implementation of data classification, ensuring sensitive data is identified and managed in line with policies.
  • Collaborate with project teams across the business to enable data capabilities, offering guidance on platform usage and enforcing engineering best practices.
  • Contribute to the governance and security of data assets, ensuring compliance with data protection standards and policies.
  • Monitor performance, troubleshoot issues, and ensure reliability and scalability of data infrastructure.
  • Help build the data engineering capability, including tooling, documentation, and onboarding of future team members.

Qualifications:

  •  Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 4–6 years' experience in data engineering or platform engineering roles
  • Strong hands-on experience with Microsoft Azure data technologies, including but not limited to:
    o    Azure Data Factory
    o    Azure Synapse Analytics
    o    Azure Data Lake Storage
    o    Azure SQL
    o    Microsoft Fabric (or experience with comparable platforms)
  •  Proven experience in building and managing ETL/ELT pipelines, data integrations, and real-time/streaming data processing.
  • Familiarity with data classification, governance, and security best practices.
  • Proficiency in data scripting languages such as SQL, Python, or PySpark.
  • Excellent collaboration and communication skills, with the ability to work across technical and business teams.

 

Preferred Qualifications

  • Experience with infrastructure-as-
  • Exposure to modern DevOps/DataOps practices, including CI/CD pipelines for data workflows.
  • Understanding of data modeling and metadata management.
  • Experience working in an Agile or cross-functional product team environment.

What We Offer

  • A unique opportunity to define and build the central data platform from the ground up.
  • The chance to work with modern cloud-native tools and shape a scalable data ecosystem.
  • A collaborative team environment with strong support from leadership.

 

Apply now »