Senior Analytics Engineer

As a member of our Data team, you'll take full ownership of the systems that turn raw data into decisions—for our product, our internal teams, our customers, and our investors. You won't just maintain dashboards; you'll own the pipeline end to end, from ingestion to the numbers people actually act on.

Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on.

Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on.

As a member of our Data team, you'll take full ownership of the systems that turn raw data into decisions—for our product, our internal teams, our customers, and our investors. You won't just maintain dashboards; you'll own the pipeline end to end, from ingestion to the numbers people actually act on.
In your first few months, you might:
Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on.
Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh.
Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it.

We're looking for an experienced data practitioner who likes owning the full stack of an analytics platform. You'll be a great fit if you have:
Significant professional experience building and maintaining data models with dbt and writing advanced SQL.
Solid Python skills for data syncing, automation, and general scripting.
Hands-on experience with a cloud data warehouse such as BigQuery, and comfort working with source databases like Postgres.
Experience building dashboards and serving data to non-technical stakeholders (a strong command of Looker is a big plus).
Strong, hands-on familiarity with AI coding tools—especially Claude Code—and a habit of using them as part of your daily workflow.
A pragmatic approach to problem-solving and a high sense of ownership, feeling comfortable driving projects independently.
Excellent communication skills in English.
Experience with reverse ETL or integrating a data warehouse with tools like ActiveCampaign or Salesforce.
Experience building and maintaining CI/CD or automation pipelines (e.g. GitHub Actions).
Experience preparing data and reporting for external audiences such as customers or investors.
An interest in data engineering best practices, pipeline reliability, and infrastructure-as-code.
Competitive Compensation: A competitive salary above the market average.
Work-Life Balance: Choose to work 100% remotely or from our modern office in Berlin. We offer flexible working hours to fit your life.
Top-Notch Equipment: A new MacBook Pro to ensure you have the best tools for the job.
A Great Team: Regular company off-sites and team events that connect us as people, not just colleagues.
Job Security: A permanent contract in a stable, well-funded company.