Senior Analytics Engineer ( Technical Data Analyst)

BridgeFund; Amsterdam; Hybrid; EUR 71,000 - 78,000; Full time

Benefits offered by this job

Hybrid model

6% pension via ASR Doen Pensioen

25 paid vacation days

8% holiday allowance

Two weeks per year remote work fromab"

Travel allowance

BridgeFund Academy

Learning & Development budget

Modern workspace

Bridge Day

Company boat The Royal Ted

Sports activities

50% paid lunches

Free snacks

Friday drinks, quarterly parties and 2

BridgeFun(d) bar with DJ booth

Job summary

BridgeFund is seeking a Senior Analytics Engineer to own our central data foundation, turning high-level business goals into robust, production-ready data models in Databricks. You’ll enable analytics, modeling and AI use cases and act as the technical bridge between analysts, data scientists and platform engineers.

In this role you lead requirements sessions with Finance and Product, translate ambiguous needs into scalable pipelines, and help define a single source of truth and consistent

Qualifications

• At least 5 years of hands-on experience in Data Engineering or Analytics Engineering.
• Production-level experience with SQL, Python, and CI/CD pipelines.
• Experience with Databricks (or PySpark) and data modeling frameworks.
• Ability to translate high-level goals into robust, production-ready solutions.

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) and liaise with 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; enforce naming conventions and Unity Catalog tagging.
• Define uniform metrics and align definitions across the business to resolve inconsistencies.
• Champion software engineering best practices, including version control, automated testing, and CI/CD pipelines.

Skills

SQL

Python

CI/CD pipelines

Databricks

PySpark

dbt

Kimball

Data modeling

Cross-functional communication

Self-leadership

Tools

Databricks

PySpark

Job description

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.

Your role

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 definitions.
• Champion software engineering best practices, including version control, automated testing, and CI/CD pipelines.

What you bring

• 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 affect 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.

Who we are

While small businesses drive the economy, when it comes to financing, traditional systems still move at the speed of paper. We founded BridgeFund in 2018 to change that. We've stripped away the bureaucracy: an entrepreneur applies in just five minutes, and our advanced technology processes the data quickly and efficiently. By combining cutting-edge automation with real human logic, we make financing decisions that are both fast and fair. We grew 55% last year and have proudly fast-tracked over €700 million in loans to entrepreneurs. Our next goal? To scale our data capabilities by making our platform even sharper, ensuring support for the next generation of entrepreneurs

What we offer

A competitive salary between €5,933 and €6,504 based on 40 hours per week. Growth is intentional here. We use an internal competency framework to help you track your progress and continuously evolve in your role.

• A hybrid model, requiring three days per week in our office.
• 6% pension via ASR Doen Pensioen
• 25 paid vacation days and 8% holiday allowance
• Two weeks per year of remote work from abroad
• Travel allowance of €0.23 per kilometer (even if you cycle)
• €40 Alleo budget per month for things like TrainMore, Uber, or a day out
• BridgeFund Academy for personal growth, learning, and coaching
• Annual Learning & Development budget of €1,500 for your professional growth
• Modern workspace with a MacBook, open areas, quiet zones, and zero ceiling tiles
• 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
• Free snacks: healthy and not-so-healthy
• Friday drinks, quarterly parties, and team outings
• BridgeFun(d) bar with DJ booth, stage, and karaoke

Curious?

Good. That is usually how the best engineers start here at BridgeFund.