Analytics Engineer

Small businesses drive the economy. They build, hire, innovate, and take risks. But when they need financing, things still move at the speed of paper. Endless forms. Long approvals. Decisions based on history, not logic. We built BridgeFund to fix that. What takes weeks elsewhere happens here in seconds. A small business applies in 3 minutes, and our model decides in one. No paperwork. No waiting. No human bottlenecks. Just smart tech making fair decisions, fast. That is how we grew 74 percent last year, provided over 500 million euros in funding, and will close 2025 profitably. Now we are scaling our analytics capabilities to turn raw data into trusted datasets that power every decision we make.

You’ll build the data foundation that makes analytics possible at BridgeFund. From raw data to trusted datasets, the models you create will serve as the single source of truth for analysts, scientists, and business teams across the company. You’ll join a compact, high-impact team of data analysts and engineers who turn business questions into data products. Together you’ll bridge the gap between raw pipelines and business insights, working within Databricks to design, build, and maintain data models that are robust, scalable, and built for production. You’ll work closely with data analysts to understand business requirements and translate them into clean, well-documented data models. You’ll collaborate with the platform team to ensure alignment on data pipelines, schemas, and architectural decisions. And you’ll partner with business stakeholders to make sure every model reflects how the business actually operates. This is not just data transformation. You’ll define standards for the analytics engineering domain, implement data quality frameworks that catch issues before they reach dashboards, and apply software engineering best practices like version control, automated testing, and CI/CD to everything you build. You’ll architect the scalable, efficient, cost‑optimised data environment that grows with the company’s needs, while giving analysts and other teams the reliable data they need to move fast with confidence.

• Model data according to standards set by the analytics and platform teams, working within Databricks using the medallion architecture (bronze, silver, gold)
• Transform raw data into reliable datasets that serve as single source of truth across BridgeFund
• Collaborate with data analysts and business stakeholders to gather requirements and translate them into well‑structured, documented data models
• Act as the connecting link between the analytics and platform teams to ensure alignment on data pipelines, schemas, and architecture choices
• Define, implement, and monitor data quality checks to ensure accuracy and integrity of datasets
• Apply software engineering best practices such as version control, automated testing, and CI/CD within the analytics domain
• Develop and optimise performant data pipelines, refactor existing workflows, and improve processes using PySpark and Delta Live Tables
• Actively contribute to architecture decisions to improve the scalability and performance of the data platform
• Define and maintain standards and best practices within analytics engineering

You like building data foundations that others can depend on. You know that great analytics start with trusted data models, and that trust comes from solid engineering, clear documentation, and close collaboration with the people who need the data.

• Strong experience with data modelling, designing and maintaining scalable, reusable, and reliable data models
• Proficiency in SQL and Python, these are non‑negotiable
• Experience with Databricks, PySpark, and Delta Live Tables is a strong plus
• Hands‑on experience with software engineering practices: Git, testing frameworks, CI/CD, and modular code design
• Ability to design and implement monitoring frameworks to ensure data accuracy and integrity
• Experience translating business requirements into technical specifications and creating alignment across multiple teams
• Strong analytical mindset with the ability to restructure workflows, reduce costs, and improve reliability and latency
• Communicative, practical, results‑oriented, with strong stakeholder management skills
• Experience working in smaller companies (50‑150 people) where the role is broad and you often need to step outside the lines

The BridgeFund community is exceptional because we respect one another, care deeply about what we build and move fast without cutting corners. You will have the freedom to grow, learn and experiment, with clear paths to expert and lead roles, and the support of a team that values craft over titles.

• 6% pension via ASR Doen Pensioen
• 25 paid vacation days plus 8% holiday allowance
• Travel allowance of 0.23 euros per kilometre (even if you cycle)
• 40 euro Alleo budget per month for things like TrainMore, Uber or a day out
• Bridge Day, one extra day off for something that matters to you
• Company boat The Royal Ted for team events or private use
• Sports activities such as boxing classes and a running club
• 50% paid lunches catered by our chef
• Friday drinks, quarterly parties and team outings
• Two weeks per year of remote work from abroad
• Modern workspace in Amsterdam with a MacBook, open areas, quiet zones and zero ceiling tiles
• BridgeFund bar with DJ booth, stage and karaoke
• Free snacks, healthy and not so healthy
• BridgeFund Academy for personal growth, learning and coaching

Good. That is usually how the best engineers start here at BridgeFund. Apply directly or reach out to Barbara at recruitment@bridgefund.nl. We would love to hear what data foundations you would build next.