Senior Analytics Engineer

1001 LEGO System A/S; Billund; Hybrid; DKK 750,000 - 1,050,000; Full time

Benefits offered by this job

Family leave

Life & disability insurance

Wellbeing resources

Colleague discount

Bonus scheme

Hybrid work policy

Job summary

The LEGO Group is seeking a Senior Analytics Engineer to build robust data foundations enabling insightful analytics for Operations. You’ll design dimensional models, create scalable data products on Databricks, and deliver analytics solutions trusted by Manufacturing and Engineering teams.

This hands-on role blends data engineering, analytics, and business understanding to deliver solutions used by stakeholders. The position supports a hybrid work rhythm across Billund and other sites.

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.

Responsibilities

• Design and maintain a robust data foundation that supports Manufacturing and Engineering teams.
• 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

ETL pipelines

DevOps/DataOps

Cloud platforms

Databricks

Power BI Dataflow

Tools

Databricks

Azure

AWS

Google Cloud

Job description

Job Description Do you enjoy building robust, scalable data foundations to enable fantastic insights generation for Operations with their ambitious automation & digitalization journey? We have an exciting role as a Senior Analytics Engineer in our Data Engineering & Analytics team! Come join us!

About the role

As our Senior Analytics Engineer, you'll help the LEGO Group build a reliable data foundation that enables Manufacturing and Engineering teams to make better decisions through data. You'll design and maintain dimensional data models, create scalable data products on Databricks, and support the delivery of analytics solutions that create value across Operations. This is a hands-on role where you'll combine data engineering, analytics, and business understanding to deliver solutions that people use and trust.

Required 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.

Preferred Qualifications

• 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.

What you'll build

• 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.

Life on the team

You’ll join the Data Engineering & Analytics team within Engineering & Workplace in Operations. Together, we help Manufacturing(shopfloor) and Engineering(R&D) in becoming even more data driven than today.

Data Engineering & Analytics is part of Manufacturing Products and Data Enablement, with the purpose of “getting value from Data”. We work in a hybrid rhythm across Billund and Nyíregyháza, with regular team collaboration and a strong focus on sharing ideas and solving problems together.

You’ll thrive if you’re collaborative, curious, comfortable working independently, and able to communicate technical concepts clearly while building strong relationships with stakeholders.

What success looks like

Success means delivering reliable data products that stakeholders trust and use. You'll help strengthen data modelling practices, improve the availability and quality of data, and contribute to scalable solutions that support an expanding manufacturing footprint.

Working closely with product managers, project managers, peers, and business stakeholders, you’ll help shape how data creates value across Operations.

What’s in it for you?

• Family Care Leave - We offer enhanced paid leave options for those important times.
• Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
• Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.
• Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.
• Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.
• Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.
• Children are our role models. Their curiosity, creativity and imagination inspire everything we do.

We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe.

Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do.

Our founder Ole Kirk Kristiansen made his first wooden toy in 1932. He persevered against the odds until his business was a success. Constantly innovating, never compromising. Building, rebuilding, and striving for the best. It is this resilience and permanent sense of renewal that drives us forward. We are never still. We will always be creating, inventing, andhaving fun. Build your career brick by brick and play your part in continuing our mission to “inspire and develop the builders of tomorrow”.