Analytics Engineer

Fixing finance - for real

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 Bridge Fund 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 m 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 Bridge Fund
• 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…