Are you an experienced engineer who thrives on scaling data infrastructure and seeing your work directly drive core business decisions? At Bridgefund we are looking for a Senior Platform Engineer - Data & ML to own and evolve the platform powering our automated lending
Your role
As a Senior Platform Engineer - Data & ML, you are the hands-on technical architect behind the liberation of money. You will bridge the gap between technical infrastructure and real-world business impact, directly empowering our mission to provide lightning-fast, automated financing to small businesses.
To fulfill this vision, your goal is to build and contribute to a platform that turns raw source data into high quality data products like ML Models and dashboard grade tables. You help build a standardized, production-grade ecosystem. By architecting the platform that powers 200+ production workflows and 30+ ingestion pipelines through medallion layers on Databricks, you ensure our financing remains simple, fast, and fair.
Your focus on MLOps foundations and data contracts provides the reliability needed to scale our impact. Ultimately, you aren't just managing data pipelines; you are building the bridge that gives entrepreneurs their autonomy back.
Responsibilities
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Build the MLOps Platform that powers credit risk scoring, automated lending decisions, and transaction categorisation. This platform supports the full ML lifecycle from feature engineering to production inference
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Establish platform-wide conventions for data modelling, data contracts, and reusable pipelines, while driving performance and cost optimisations for heavily computational Spark jobs
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Architect and roll-out platform standards like ingestion frameworks, data modelling conventions, data contracts, and ML operations patterns (feature stores, model registry, reusable training/inference pipelines).
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Architect CI/CD infrastructure, shared tooling, and multi-environment deployment strategies across a growing multi-repo ecosystem
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Ensure our infrastructure serves as a reliable, scalable product for internal teams to ultimately deliver optimal service to our customers.
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Propose improvements to our AI-assisted development workflow setup; think of agents, skills and AI driven integrations.
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Strengthen data governance, access controls, security practices, and SDLC maturity. Support data science teams in adopting these standards
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Actively identify cross-departmental opportunities for platform improvements
What you bring
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7+ years of experience as a Data Engineer, Platform Engineer or ML(Ops) Engineer
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Bachelor's or Master's degree in Computer Science, Engineering or another technical field
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Strong experience with Python and/or PySpark, and solid SQL skills
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Familiarity with Databricks and Databricks Asset Bundles (DABs)
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Experience with orchestration tools like Databricks Lakeflow Jobs, Airflow or Dagster
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Expertise in building multi-environment CI/CD deployment strategies across a multi-repo ecosystem
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Hands-on experience with unit and integration testing
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Understanding of containerisation techniques such as Docker
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Familiarity with data architecture and system design
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A proven track record of navigating cross-department environments, driving alignment, and executing technical solutions end-to-end; from ideation to production.
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The ability to translate complex technical concepts for non-technical peers and proactively mentor data teams to adopt mature governance standards.
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 €8,000 and €8,700 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.
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A hybrid model, requiring three days per week in our office.
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6% pension via ASR Doen Pensioen
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25 paid vacation days and 8% holiday allowance
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Two weeks per year of remote work from abroad
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Travel allowance of €0.23 per kilometer (even if you cycle)
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€40 Alleo budget per month for things like TrainMore, Uber, or a day out
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BridgeFund Academy for personal growth, learning, and coaching
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Annual Learning & Development budget of €1,500 for your professional growth
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Modern workspace with a MacBook, open areas, quiet zones, and zero ceiling tiles
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Bridge Day: one extra day off for something that matters to you
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Company boat The Royal Ted for team events or private use
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Sports activities such as boxing classes and a running club
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50% paid lunches
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Free snacks: healthy and not-so-healthy
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Friday drinks, quarterly parties, and team outings
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BridgeFun(d) bar with DJ booth, stage, and karaoke
Curious?
Good. That is usually how the best engineers start here at BridgeFund. Apply directly or reach out to Anna-Maria at [email protected]. We would love to hear what you would build next.
