Analytics Engineer

About the role

At Lexroom http://Lexroom.ai, we set the bar for legal AI—clear, fast, and built for trust.

In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe.

Our mission is clear: make the law faster, clearer, and more reliable, giving lawyers, law firms, and companies the time and confidence to focus on what truly matters.

We're scaling rapidly, backed by top-tier investors and a world-class team dedicated to rigor, clarity, and impact.

Today, Lexroom is a trusted partner, shaping the future of legal AI with discipline and purpose.

WHY LEXROOM http://Lexroom.ai?

- Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.

- Work with the Best: Collaborate with exceptional colleagues in a culture that values competence, curiosity, and ambition.

- Deliver Meaningful Results: Your work will directly influence how legal professionals operate—faster, clearer, and more efficiently.

At Lexroom http://Lexroom.ai, we leave buzzwords behind. Here, you'll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world.

WHAT YOU'LL DO

- Own the data transformation layer from raw sources to trusted, documented datasets—designing and maintaining a dbt project on BigQuery with staging, intermediate, and mart layers.

- Model product analytics events (user interactions, feature adoption, feedback signals), engineering metrics, and business KPIs into reliable, self-service data models.

- Build and maintain the data foundations powering our dashboards, decisions, and team health metrics.

- Implement data quality frameworks: tests, freshness checks, anomaly detection, and clear ownership and SLAs on key datasets.

- Collaborate with engineers to improve event tracking and data contracts at the source (Pub/Sub, application events).

- Create and curate dashboards and semantic layers that Product, CS, and Sales teams can query directly—enabling true self-service analytics.

- Partner with the AI & Search Platform team to instrument and measure model performance, feedback loops, and benchmark results.

- Support Product teams with ad-hoc analysis: feature impact, user segmentation, satisfaction trends, and power-user behavior.

WHAT YOU'LL BRING

- 3+ years of experience in analytics engineering, data engineering, or a data analyst role with a strong engineering mindset.

- Expert SQL skills and hands-on experience with dbt (dbt Core or dbt Cloud).

- Solid experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift).

- Strong understanding of dimensional modeling, data testing, and documentation-as-code practices.

- Comfortable working in a Python ecosystem (scripting, basic ETL, notebooks for exploration).