Lead Analytics Engineer — Hybrid, Trusted Data for Operations

LEGO Koncernen; Billund; Hybrid; DKK 850,000 - 1,200,000; Full time

Benefits offered by this job

Family care leave

Life & disability insurance

Wellbeing programs

Colleague discount

Bonus scheme

Hybrid workplace

Job summary

LEGO Group in Billund, Denmark, seeks a Senior Analytics Engineer to design and maintain scalable data foundations for Operations, enabling better decisions across Manufacturing and Engineering. You’ll create reliable data products, Databricks-based solutions, and analytics capabilities essential for trusted data use.

You will join a hybrid Data Engineering & Analytics team, collaborating with stakeholders to deliver impactful data-driven outcomes across the organization.

Qualifications

• Delivered solutions using Python, PySpark, and SQL in production environments.
• Built dimensional data models that supported 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.
• Applied agentic data engineering concepts in data platform environments.
• Used Power BI Dataflow or similar technologies within data and analytics ecosystems.
• Delivered analytics or data engineering solutions in manufacturing environments.
• Developed Databricks-based reporting, dashboards, or analytics capabilities.

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

DevOps

DataOps

Databricks

Power BI

Tools

Databricks

Power BI

Azure

AWS

GCP

Job description

LEGO Group in Billund, Denmark, seeks a Senior Analytics Engineer to design and maintain scalable data foundations for Operations, enabling better decisions across Manufacturing and Engineering. You’ll create reliable data products, Databricks-based solutions, and analytics capabilities essential for trusted data use.

You will join a hybrid Data Engineering & Analytics team, collaborating with stakeholders to deliver impactful data-driven outcomes across the organization.