Data Engineer

Experience in a data engineering role, with a proven track record of building scalable data pipelines.

A product engineering mindset, with a focus on understanding business context and stakeholder needs.

Professional proficiency in Python for data processing and pipeline development.

Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.

You are a forward-thinking builder who views AI as a core component of modern architecture.

You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.

Flexible time off: Autonomy to manage your work-life balance.

Alan Flex benefits: 160€/month for food or nursery.

Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.

Wellbeing support: Subsidized ClassPass subscription.

Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.

Impactful work: Shape products relied on by 85,000+ users worldwide.

in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets.

You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse.

You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.

Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.

Data Quality: Establishing standards and monitoring the health of all foundational data assets.

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.