Lead Data Engineer

At SAS data is the engine behind everything we build from AI models and personalized offers to real-time operational intelligence. As Lead Data Engineer you will strengthen the engineering foundation that makes all of it possible: reliable scalable well-operated data products pipelines and integrations. You will work closely with the Data Architect to turn architectural direction into practical engineering standards modern DataOps practices and production-ready solutions that create real business impact.

We are looking for a Lead Data Engineer who will act as a senior engineering leader and close partner to the Data Architect driving the development of scalable and reliable data solutions across SAS. You will lead the implementation of engineering standards for data testing observability monitoring SLAs version control and DataOps practices while supporting teams in adopting modern software engineering practices.

You will work at the technical frontier of our data stack leading implementation choices code reviews technical standards and engineering quality across data products pipelines and close collaboration with the Data Architect Data Scientists ML Engineers and business stakeholders you will bring modern perspectives on data products DataOps and software engineering craft while ensuring solutions are aligned with the broader enterprise architecture and stakeholder priorities.

As Lead Data Engineer you will bring deep engineering expertise and hands-on DataOps leadership helping transform architectural intent into robust maintainable and production-ready solutions.

Your responsibilities include:

• Lead the design development and operation of scalable data pipelines data products and integrations.
• Establish and drive engineering standards for testing documentation observability monitoring SLAs version control and DataOps.
• Partner with the Data Architect to translate architectural direction into practical implementation patterns and reusable engineering standards.
• Lead code reviews and drive continuous improvement of engineering practices across the team.
• Mentor and support data engineers and DataOps engineers in modern tools standards and software engineering practices.
• Collaborate with architecture data stewardship IT cloud teams and business stakeholders to ensure solutions meet quality security governance and operational requirements.

The Analytics & Data team develops and manages the data infrastructure that powers AI analytics and business operations at SAS. We build and maintain data pipelines data products and enterprise integrations on a modern cloud platform.

Working closely with the AI & Automation team analysts and business units across SAS we ensure that trusted and accessible data is available where it is needed. Our work spans batch and near-real-time pipelines data product development and integration with core operational systems.

As SAS continues to expand its AI and analytics capabilities including a new Customer Data Platform agentic AI pilots and an expanding BI estate the demand for high-quality and well-engineered data infrastructure continues to grow. We are looking for a lead who can drive this forward.

• A degree in computer science engineering or a related field.
• At least 5 years of hands-on data engineering experience including experience in a senior or lead role.
• Strong skills in SQL and Python with experience in Spark or similar distributed processing frameworks.
• Experience building and operating cloud-based data pipelines preferably in Azure using services such as Azure Data Factory Azure Databricks Synapse or equivalent.
• Solid understanding of data modelling data warehouse design data lake architecture and enterprise data solutions.
• Practical experience with DataOps version control CI/CD automated testing monitoring alerting and operational SLAs.
• Experience with orchestration and transformation tools such as Azure Data Factory Airflow Prefect Lakeflow or dbt.
• Strong mentoring skills and an passion for helping others grow through clear standards documentation and practical guidance.
• A collaborative mindset strong communication skills and the ability to bring practical engineering perspectives into architectural discussions.

At SAS we offer extensive opportunities for professional development in an international fast-paced working environment. We are dedicated to the continuous growth of our employees. Working with us comes with a variety of benefits including:

• Travel Perks: Enjoy discounted travel opportunities around the world with SAS.
• Health & Wellness: Access to health and wellness benefits including a newly renovated gym with complimentary classes such as CrossFit and yoga.
• Discounts: Receive discounts from a wide range of brands as well as on transportation to and from airports airport shops hotels and car rentals.
• Work Environment: Our office location in Frösundavik offers a vibrant workspace with a restaurant café and easy access to outdoor activities in Hagaparken and Brunnsviken. Engage in running tennis outdoor gym sessions kayaking and stand-up paddling with equipment available free of charge.
• Convenient Commute: Benefit from a non-stop bus service connecting our office to Solna station and commuter trains alongside a network of cycle paths.

At SAS we are dedicated to caring for each other delighting our travelers and driving the transformation towards sustainable aviation. As a future colleague on our team youll join a culture where we work collaboratively towards common goals recognize each others contributions and celebrate successes. Our focus is on safe sustainable and punctual execution and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive grow and take ownership of your work. Join us at SAS and be part of shaping the future of aviation!

Come and fly with us!

• Apply by: 11/09/2026. We review applications continuously so please send us your CV as soon as you can. The role may be filled before the deadline.
• Start and scope: Full-time role starting with a 6-month probation period.
• Location: Youll be based at our office in Frösundavik Solna Stockholm. This is mainly an onsite role with some flexibility for remote work depending on the agreement with your manager.
• Security: As this role is security classified a background check will be part of the final stage of the recruitment process.

If you have any questions about the role please contact Jonas Blomqvist Head of Analytics & Data at Please note that due to GDPR we cant accept applications by email.