Senior Analytics Engineer: Build Trusted Data for Operations

Lego Group; Denmark; Hybrid; DKK 120,000 - 180,000; Full time

Benefits offered by this job

Family Care Leave

Life and disability insurance

Wellbeing resources

Colleague Discount

Bonus scheme

Hybrid work policy

Job summary

The LEGO Group is seeking a Senior Analytics Engineer to design and maintain reliable data foundations for Operations, enabling better decisions through data and analytics across manufacturing and engineering.

In a hybrid role based in Billund with collaboration across sites, you will build dimensional models, Databricks data products, and scalable analytics solutions, blending data engineering with business insight.

Qualifications

• Delivered solutions using Python, PySpark, and SQL in production environments.
• Built dimensional data models to support reporting, analytics or operational 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 modeling

Databricks

ETL pipelines

DataOps

Azure

AWS

Google Cloud

Tools

Power BI Dataflow

Job description

The LEGO Group is seeking a Senior Analytics Engineer to design and maintain reliable data foundations for Operations, enabling better decisions through data and analytics across manufacturing and engineering.

In a hybrid role based in Billund with collaboration across sites, you will build dimensional models, Databricks data products, and scalable analytics solutions, blending data engineering with business insight.