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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** BridgeFund B.V. - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €5,933.0 - €6,505.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Continuous Integration, Information Engineering, Data Integration, Python (Programming Language), SQL Databases, Large Language Models, Pyspark, Software Version Control, Databricks - **Published:** August 4, 2026 - **Apply:** https://bridgefund.recruitee.com/o/senior-analytics-engineer ## About the Role Are you ready to solve complex data challenges and build a single source of truth for our entire company? As our Senior Analytics Engineer, you'll own our central data foundation, turning high-level business goals into a reliable data foundation for analytics, modeling and AI use cases., * At least 5 years of hands-on experience in Data Engineering or Analytics Engineering. * Production-level experience with SQL, Python, and CI/CD pipelines. Working experience with Databricks (or PySpark) is a plus. * Experience with frameworks like dbt, Kimball or Databricks to structure data models. * You thrive on self-leadership. You don't need detailed hand-holding to define required steps and execute. * You understand how technical definitions (like principal balances or DPD) affect lending decisions and communicate fluently with non-technical stakeholders. * Experience in fast-paced scale-up environments where roles have broad scope and require working across domain boundaries. Don't tick every box? Tell us anyway- we hire for trajectory and judgement, not a checklist. That's usually how the best engineers start here. ## Description As a Senior Analytics Engineer, you are the architect and owner of our central data foundation, working alongside a diverse team of analytics engineers, data engineers, data analysts, and data scientists. Right now, data is scattered across multiple systems. Your mission? Eliminate "multiple truths" once and for all and establish a single source of truth across the company. You won't just build reliable data models for business analysts and finance teams; you'll also design the architecture powering advanced AI applications, like our agentic LLM tool. Serving as the primary technical bridge between analysts, data scientists, and platform engineers, you won't wait for explicit daily instructions. You take high-level business goals, ask the right probing questions, and independently translate them into robust, production-ready solutions. Got a good idea or a smarter solution? At BridgeFund, you can take it from idea to production in no time. That speed of execution is one of the best parts of working in our data team. Your responsibilities * Design, build, and maintain complex, production-grade data models in Databricks (Gold layer) focused on performance, reliability, and reusability. * Lead requirements sessions with business stakeholders (Finance, Product), translate ambiguous needs, and act as the primary liaison to Platform and AI engineering teams. * Solve live and historical data integration challenges to eliminate conflicting metrics across systems. * Model data from CDC sources to capture full audit histories and change records. * Build automated quality checks, monitoring dashboards, and alerting systems, implement consistent naming conventions, and tag models in Unity Catalog. * Play a key role in defining uniform, company-wide metrics (a layer on top of our data registries) and actively align definitions and interpretations across the business, spotting and resolving inconsistencies like conflicting DPD definitions. * Champion software engineering best practices, including version control, automated testing, and CI/CD pipelines. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023)