LEGO Digital Play will bring the LEGO brand into digital entertainment in new, innovative, and wholly-owned ways. Our mission is to ensure the LEGO Brand remains as powerfully a part of children’s lives in the coming decades as it has ever been. We aim to reach every kid on the planet, their parents, and adult fans of LEGO—and provide them with meaningful, magical, and playful new experiences.

We are at the earliest phases of this new company, offering a unique opportunity to build a new entity for the world's most beloved and trusted brand. Our culture is open, collaborative, intellectually rigorous, and creatively vibrant.

Role Summary

We are looking for a Senior Data Engineer to lead the design and scaling of the data infrastructure that turns high-volume event and telemetry data into reliable, compliant, and queryable data, supporting product decisions, analytics, and compliance reporting.

You'll join early, build and lead the data engineering team, and set the standards others build on, while staying close to the technical work.

Key Responsibilities

Build and lead a data engineering team: hire, develop, and set technical direction for the engineers working on the data platform
Own the roadmap for data infrastructure, including evaluating and integrating third-party data sources, balancing reliability, privacy, and cost as needs grow
Design and oversee batch and streaming pipelines and ETL/ELT workflows that handle high-volume event and telemetry data reliably, idempotently, and cost-effectively, with privacy built in
Own data modelling for analytics and reporting, enabling self-serve access for product, compliance, and leadership stakeholders
Define event schemas and data contracts with backend engineers, keeping data consistent from source to warehouse
Establish data quality monitoring, testing, observability, and documentation practices across the platform
Partner with security and compliance teams to meet privacy and data protection requirements such as GDPR and COPPA, including retention and access controls
Work with infrastructure engineers on cloud deployment, infrastructure-as-code, and cost management for data workloads

Required Qualifications

Substantial experience in data engineering, with a track record of building and running production-grade pipelines at scale
A track record of leading and developing data or software engineering teams
Strong SQL skills and modern data modelling practice, including dimensional modelling
Deep familiarity with privacy by design, including working knowledge of data protection legislation, best practices, and the patterns used to implement them
Proficiency in Python or TypeScript for pipeline development
Hands-on experience with modern data tooling (e.g. dbt, Dataform, Airflow, Dagster)
Clear written communication for schema specifications, design docs, and stakeholder alignment.
Comfortable setting direction and making sound calls while systems and processes are still being defined

Preferred Qualifications

Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, or similar), Google Cloud Platform primitives in particular
Experience with streaming or event-driven architectures (Kafka, Kinesis, Pub/Sub, Dataflow, Flink, or similar)
Experience enabling self-serve analytics through BI and semantic-layer tools (e.g. Looker/LookML, Looker Studio, Tableau)
Familiarity with infrastructure-as-code (Terraform)
Experience with game or consumer app analytics, telemetry, or attribution data
Background in games, interactive entertainment, or media

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