Marketing Analytics Data Engineer – Scalable Pipelines

LEGO System A/S; København; Hybrid; DKK 600,000 - 900,000; Full time

Benefits offered by this job

Family Care Leave

Life & Disability Insurance

Wellbeing resources (Headspace)

Colleague Discount

Bonus scheme

Job summary

LEGO Group is seeking a Data Expert to shape marketing analytics from Copenhagen or Billund. This fixed-term contract (8–10 months) sits in Global Paid Media Performance Analytics, delivering robust data pipelines and analytics to enable better business decisions.

You’ll work in a hybrid setup with three days in the office and two days remote. The role requires strong Python and SQL skills, experience with Databricks/Spark, and the ability to translate complex data into actionable insights for

Qualifications

• Experience building scalable data pipelines and analytical datasets.
• Strong programming skills in Python and SQL with data engineering focus.
• Understanding of data governance, quality, and modelling principles.

Responsibilities

• Build scalable data solutions and data pipelines for global marketing measurement.
• Develop analytical models and automated data workflows to support decision making.
• Create trusted data foundations with data governance and quality controls.
• Collaborate with analytics, engineering and marketing teams to deliver impactful data products.

Skills

Python

SQL

Databricks

Spark

Git

Cloud platforms

Data modeling

Data governance

Stakeholder communication

Tools

Databricks

Spark

Git

Job description

LEGO Group is seeking a Data Expert to shape marketing analytics from Copenhagen or Billund. This fixed-term contract (8–10 months) sits in Global Paid Media Performance Analytics, delivering robust data pipelines and analytics to enable better business decisions.

You’ll work in a hybrid setup with three days in the office and two days remote. The role requires strong Python and SQL skills, experience with Databricks/Spark, and the ability to translate complex data into actionable insights for