LEAD DATA ENGINEER

SAS - Scandinavian Airlines; Solna kommun; Hybrid; SEK 1,100,000 - 1,500,000; Full time

Benefits offered by this job

Travel Perks

Health & Wellness

Discounts

Work Environment: Frösundavik office &

Convenient Commute

Job summary

SAS - Scandinavian Airlines is seeking a Lead Data Engineer to strengthen our data foundation, delivering scalable pipelines, data products, and integrations on a modern cloud platform. You will work with a Data Architect to standardize DataOps practices and production-ready solutions that drive business impact.

You will mentor data engineers, enforce testing and observability across the team, and collaborate with IT, cloud teams, and stakeholders to ensure security, governance, and quality in

Qualifications

• A degree in computer science, engineering, or a related field.
• At least 5 years of hands-on data engineering experience, in a senior or lead role.
• Strong SQL and Python skills, with Spark or similar distributed processing.
• Experience building and operating cloud-based data pipelines in Azure (ADF, Databricks, Synapse).
• Solid data modelling and data warehouse/lake architecture knowledge.
• Experience with DataOps, version control, CI/CD, monitoring, and SLAs.
• Experience with orchestration tools such as ADF, Airflow, Prefect, Lakeflow, dbt.
• Strong mentoring, and collaborative communication to guide others.

Responsibilities

• 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.

Skills

SQL

Python

Spark

Data engineering

Mentoring

Communication

Collaboration

CI/CD

DataOps

Education

Bachelor's degree in CS/Engineering or related field

Tools

Azure Data Factory

Azure Databricks

Synapse

Airflow

Prefect

Lakeflow

dbt

Job description

Challenges You Will Work On

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.

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 Team

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.

To be successful we believe you have

• 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.

Why SAS?

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:

Benefits

• 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.

Our Culture at SAS

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, you'll join a culture where we work collaboratively towards common goals, recognize each other's 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!

Additional information

• Start and scope: Full‑time role, starting with a 6‑month probation period.
• Location: You’ll 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 [e-mail].