Senior Analytics Engineer: Data Products for Operations

LEGO Gruppe; Billund; Hybrid; DKK 750,000 - 1,000,000; Full time

Benefits offered by this job

Family Care Leave

Life and disability insurance

Wellbeing resources

Colleague discount

Bonus scheme

Hybrid work policy with 3 days in the)

Job summary

LEGO Group is seeking a Senior Analytics Engineer to help build a robust data foundation enabling Manufacturing and Engineering teams to make better decisions through data.

You will design and maintain dimensional data models, create scalable data products on Databricks, and support analytics solutions across Operations. This is a hands-on role blending data engineering, analytics and business understanding to deliver trusted data.

Qualifications

• Delivered solutions using Python, PySpark, and SQL in production environments.
• Built dimensional data models that supported reporting and decision-making.
• Created, maintained, and automated ETL pipelines in cloud-based platforms.
• Applied DevOps and DataOps practices to improve quality, scalability, security, and automation.
• Worked with cloud technologies such as Azure, AWS, or Google Cloud to deliver data solutions.
• Developed reliable data products that enabled stakeholders to access and use trusted data.

Responsibilities

• Design and maintain a robust data foundation that supports Manufacturing and Engineering.
• Create and manage data products that improve access to reliable, high-quality data.
• Transform data into scalable solutions that enable informed business decisions.
• Support the development of automated data pipelines, APIs, and analytics capabilities.
• Contribute to data engineering standards and ways of working across the organisation.
• Help teams understand performance metrics and identify opportunities for improvement through data.

Skills

Python

PySpark

SQL

Dimensional models

ETL pipelines

DevOps

DataOps

Azure

AWS

GCP

Databricks

Tools

Databricks

Job description

LEGO Group is seeking a Senior Analytics Engineer to help build a robust data foundation enabling Manufacturing and Engineering teams to make better decisions through data.

You will design and maintain dimensional data models, create scalable data products on Databricks, and support analytics solutions across Operations. This is a hands-on role blending data engineering, analytics and business understanding to deliver trusted data.