Senior Analytics Engineer, Earlybird

Salary not provided

SQL

Postgres

BigQuery

dbt

Senior and Expert level

Berlin

VC focused on European tech companies

Be an early applicant

VC focused on European tech companies

101-200 employees

B2BInvestingConsultingVenture Capital

Be an early applicant

Salary not provided

SQL

Postgres

BigQuery

dbt

Senior and Expert level

Berlin

101-200 employees

B2BInvestingConsultingVenture Capital

Company mission

To offer its portfolio companies not only financial resources but also strategic support plus access to an international network and capital markets.

Job

Company

Role

Who you are

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
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

Desirable

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

What the job involves

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
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

Our take

Earlybird is a venture capital firm with over 20 years of experience in the space. It backs early-stage European technology companies, providing financial support and strategic advice throughout their subsequent growth and development.

As with many VCs nowadays, the firm has stated its commitment to not only pursue financial returns but also contribute to positive change in society and help fight the climate crisis. Its portfolio spans a great number of industries from Real Estate to Quantum Computing, and includes over 150 companies. Recently, it closed its second healthcare-focused fund which will be deployed in biopharma and medtech companies.

Steph

Company Specialist at Welcome to the Jungle

Company

Company HQ

Mitte, Berlin, Germany

Leadership

Dr. Hendrik Brandis

(Co-Founder & Partner)

Board Member at Aiven, B2X Care Solutions, MyDataModels and four other companies. Began their career as an R&D engineer then was a Partner at McKinsey & Company for 6 years before founding Earlybird.

Dr. Christian Nagel

(Co-Founder & Partner)

Began their career at McKinsey & Company as a Project Manager, then was Managing Director at SMB Industrieholding for 3.5 years before founding Earlybird.

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