Senior Analytics Engineer (f/m/d)

Earlybird Venture Capital; Berlin; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A leading venture capital firm in Berlin seeks a data expert to build SQL models and deliver impactful data products. You will work on projects that translate messy data into valuable insights, enabling informed decisions across teams. Ideal candidates possess strong SQL skills, have experience in analytical data products, and can communicate effectively with diverse stakeholders. This role offers the opportunity to significantly influence product features and contribute to team goals.

Qualifikationen

• You write SQL daily and ship maintainable models in BigQuery and Postgres.
• You’ve delivered analytical data products (dashboards/signals/scoring) that changed decisions.
• You operate safe batch workflows and explain trade-offs clearly.

Aufgaben

• Build semantic SQL models that translate raw data into investor-ready insights.
• Own scoring and prioritization frameworks for stealth-founder detection.
• Deliver reliable BigQuery→Postgres batch workflows with clear SLAs.

Kenntnisse

SQL

BigQuery

Postgres

Data product delivery

Collaboration with non-engineers

Tools

SQLMesh

dbt

Jobbeschreibung

About You

You turn messy data into crisp signals that change decisions. You write SQL daily, love making data auditable, and enjoy seeing your work power real product features. You bridge data and product, owning the insight layer, not the plumbing.

Founded in 1997, Earlybird identifies and backs exceptional early-stage companies on a pan-European basis – supporting them through their growth and development phases and providing financial resources, strategic support, plus access to an international network and capital markets. Through two separate strategies, Earlybird focuses on tech-enabled businesses in fintech/ insurtech, enterprise software, and deep tech (energy, food, and space) while Earlybird Health focuses on improving patient outcomes. Earlybird additionally has a Growth Opportunity Fund for follow-on investments, and a pro-bono impact initiative, Vision Lab. With EUR 2.5 billion under management across fund streams and a history of 9 IPOs and 35 trade sales, Earlybird is among Europe’s most established and active venture capital firms.

More information on www.earlybird.com, LinkedIn, and X. This role exists because EagleEye needs a dedicated owner of the semantic + scoring layer and make data available to our internal users, true to Earlybird’s roll-up-sleeves ethos and ambition to back Europe’s next tech leaders.

At Earlybird, your projects, responsibilities, and tasks will likely include:

• Build semantic SQL models (Founder, Startup, Funding, Markets) that translate raw data into investor-ready insights
• Own scoring and prioritization frameworks for stealth-founder detection; version and deploy via SQLMesh
• Deliver reliable BigQuery→Postgres batch workflows (no realtime), with clear SLAs, monitoring, and runbooks
• Enable investor workflows by surfacing dashboards, signals, and lists that guide outreach and decisions
• Embed a shared language across teams—glossary, canonical terms, and entity-resolution rules
• Harden quality with SQLMesh tests/validations; keep models auditable, reproducible, and safe to change

What we hope you bring to the role:

Core

• You write SQL daily and ship maintainable models in BigQuery and Postgres
• You’ve delivered analytical data products (dashboards/signals/scoring) that changed decisions
• You operate safe batch workflows (design, schedule, monitor, troubleshoot) and explain trade-offs clearly
• You communicate simply, document well, and collaborate with non-engineers

Nice-to-have

• Experience with SQLMesh/dbt, backtesting simple scoring models, or light ML
• Familiarity with venture data or investor workflows

If you meet most core requirements, please apply. Earlybird is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, regardless of gender, ethnicity, age, disability, religion, sexual orientation, or any other protected characteristic.