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Why Polar?
It's never been easier to build, ship and scale software.
But it's never been harder to monetize it.
We're obsessed over solving this to empower the future one-developer unicorns.
These unicorns will be rare but inevitable. Whether in 3, 5, or 10+ years, they also symbolize a broader shift already in motion and accelerating:
Smaller & smaller teams with...
Exponential revenue/employee growth
Focusing fully on their core product and marketing. Delegating & automating everything else that's boilerplate – be it in their codebase or business operations.
Exceptional billing primitives, APIs, SDKs and abstractions are a crucial foundation, but not enough. They will need a full-fledged platform to oversee, manage and scale their business.
Turning their software into an international business in 6 lines of code.
Join our small, talented and engineering-led team across Europe to shape how future software businesses are built. We focus on shipping at high velocity to serve developers in unlocking their next stage with their business. Everything else is secondary.
Data Engineering at Polar
This is our first dedicated Data Engineering role. We want to avoid a setup where “data lives in a silo”. Therefore, it is part of our product team and you’ll build systems that the entire company can rely on and contribute to. You’ll obsess over accuracy, latency, and scalability, but you’ll also focus on usability: making sure other engineers and stakeholders can access and trust the data.
Role & responsibilities
We’re hiring a Senior Data Engineer to design, build, and scale the data foundations that power Polar. From revenue recognition to global payouts, our business relies on accurate, reliable, and auditable data — and we want to get it right from the start.
You’ll own our data architecture end-to-end: pipelines, warehouse, models, and governance. You’ll enable product, growth, and finance teams to make fast and confident decisions, while ensuring we maintain the rigor required for handling financial data at scale.
Own the design and evolution of our data stack: pipelines, warehouse, and modeling layer
Build reliable ETL/ELT pipelines for product, billing, and financial data
Define and enforce data quality, governance, and observability practices
Design, ship and optimize Metric APIs for developers using Polar and within their dashboards
Work with Finance to ensure accurate revenue, payouts, and accounting data flows
Partner with Growth and Product to provide analytics that drive activation, retention, and revenue
Build internal data APIs, dashboards, and tools to make data self-serve across the company
Establish standards and mentor engineers on best practices for instrumentation and data usage
What we're looking for
7+ years of experience as a Data Engineer or similar role building and scaling data systems
Comfortable as the first dedicated data hire. Setting technical direction while executing hands-on.
Deep expertise with SQL, Python, and modern data warehouses (Snowflake, BigQuery, Redshift, or Postgres)
Experience with ETL/ELT frameworks (dbt, Airflow, Dagster, or similar)
Strong background in data modeling for both analytics and financial systems
Proven track record of ensuring data accuracy, reliability, and trust in high-stakes environments
Excellent communicator and collaborator. Able to work and coordinate closely with Finance, Product, and Engineering
(Bonus) Experience with payments, billing, or financial data systems
(Bonus) You’ve set up the first data stack at a startup or high-growth company
(Bonus) Contributions to open source data tools or frameworks
How we hire
Our process is fully remote, and all communication happens via email, GitHub issues/PRs and/or video calls:
Application Review → Short intro call with Birk (Founder)
Assignment → Open source PR (Engineering) or case study
Review & interviews (2-3 video calls) to:
Meet future team
Review and discuss the assignment & feedback + technical questions
Meet Birk (Founder)
Reference Calls
Offer 🎉
