Senior Software Engineer, Data Migration
Senior engineer on LEGO's Data Office team who helps product teams migrate from legacy systems to the shared LEGO Data Platform — building data pipelines with Python, SQL, Databricks/Snowflake and Spark on AWS or Azure, mentoring engineers, and using AI to speed up migrations. Hybrid role (3 days/week in office) in Billund or Copenhagen.
- Compensation
- Not disclosed
- Location
- Billund, DK
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Solid experience with Python and SQL, including designing and maintaining data pipelines
- Hands-on experience with a cloud data platform such as Databricks or Snowflake
- Experience with Apache Spark or PySpark for large-scale processing
- Solid experience with a major cloud provider (AWS or Azure), including storage, access control and deployment
- Strong engineering practice: version control with GitHub or Azure DevOps, automated testing and CI/CD pipelines built or improved
- Experience designing data models and handling schema changes, data quality and error recovery
- Mentored engineers in data and software engineering practices
- Excellent communication skills in English, both written and spoken
Nice to have
- Translated business requirements into technical solutions without compromising data quality and compliance
- Collaborated with colleagues of different backgrounds and skills, adjusting communication accordingly
Full description
Senior Software Engineer - Data Migration
Location: Billund, Copenhagen
Time Type: Full time
Job Description
Job Description
#LI-KO1
Just imagine helping teams move from legacy technologies to a shared LEGO® Data Platform that supports better decisions across the organisation. Then make it real.
About the role
As our Senior Software Engineer – Data Migration, you’ll drive the adoption of the LEGO Data Platform and help product teams build scalable, high-quality data solutions. You’ll combine hands-on engineering with technical enablement, bringing us closer to self-service data engineering. You’ll also use creativity and artificial intelligence to improve and accelerate migration from legacy systems.
Required Qualifications
- Solid experience with Python and SQL, including designing and maintaining data pipelines.
- Hands-on experience with a cloud data platform such as Databricks or Snowflake, and with Apache Spark or PySpark for large-scale processing.
- Solid experience with a major cloud provider (AWS or Azure), including storage, access control and deployment.
- Strong engineering practice: version control with Github or Azure DevOps, automated testing and CI/CD pipelines you have built or improved.
- Experience designing data models and handling schema changes, data quality and error recovery.
- Mentored engineers in data and software engineering practices.
- Excellent communication skills in English, both written and spoken.
Preferred Qualifications
- Translated business requirements into technical solutions without compromising on quality and compliance of data.
- Engaged collaboratively with colleagues with different backgrounds and skills and adjusted the communication accordingly.
What you'll build
- Help product teams migrate from legacy technologies to the LEGO Data Platform.
- Solve complex data-engineering challenges across business areas with different levels of technical maturity.
- Create reusable solutions and sustainable engineering practices that improve quality and scalability.
- Create dependable data solutions for business areas with different levels of technical experience.
- Enable teams to use platform capabilities with greater autonomy and confidence.
- Become a trusted technical specialist in the platform architecture and practices endorsed by the Data Office.
- Improve and accelerate migration work with artificial intelligence.
If you’ve worked in a role where you built data solutions with Python, SQL and Databricks or similar tooling, you’ll feel at home here. What matters most is your ability to combine sound engineering with mentoring, practical problem-solving and effective work across teams.