Data (Analytics) Engineer

As a Data (Analytics) Engineer at Floryn, you'll work at the intersection of engineering and analytics, building the scalable data foundation the business relies on. You'll write code, model data, define metrics and automate quality checks. Your work has a direct impact on how quickly and reliably teams can make decisions, and what you build today can already be in production tomorrow.

Floryn is a fast-growing Dutch fintech making business financing faster, more transparent and more flexible through its own technology. Since 2016, Floryn has provided over €800 million in financing to SMEs and now employs more than 80 Dutch and international colleagues.

The challenge

Floryn isn't a dashboard factory. Someone asks for a new metric or report? Before you start building, you'll first want to know what they're actually trying to understand or decide. And that critical thinking doesn't stop once you've built it. If an analysis returns 43.2%, you don't just check whether your query runs correctly; you also ask whether 43.2% makes sense in the first place.

Same goes for technical improvements: a process that is unnecessarily manual or a codebase that could be more reliable? Dig into it, propose a better approach and build it. At Floryn, you'll have the freedom to investigate the problem and take a solution from idea to implementation.

What will you be doing?

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Architect, optimise and transform data models in dbt, enabling analysts and the business to work quickly with reliable data.

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Build out the semantic layer so that important metrics are defined once and used consistently across the organisation.

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Automate checks and root-cause analysis around key metrics, making it easier to see what's changing and why.

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Write plenty of SQL and use Python for prototyping, automation and more complex analysis.

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Keep both data and code trustworthy through version control, testing, documentation and continuous integration.

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Work with Analysts, Data Scientists, Developers and Commercial teams to translate business questions into the right metric, dataset or technical solution.

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Build prototypes to test new ideas quickly and improve them together with stakeholders.

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Identify technical bottlenecks yourself and take improvements from initial idea through to implementation.

Technology

Floryn works with data across customer behaviour, marketing, sales, CRM, loan administration, company financials and more.

dbt is used for transformations and data modelling, Metabase for BI, Hightouch for reverse ETL and Fivetran and Estuary for data ingestion. Prefect runs recurring jobs, while Python is used for prototyping and heavier analysis.

You don't need to have worked with every tool in the stack already. dbt experience, for example, isn't a hard requirement. What matters more is that you understand how to build and test reliable, scalable and reusable data models.

What does Floryn offer?

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A salary between €4,000 and €6,000 gross per month based on 40 hours, depending on your experience.

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30 vacation days, 8% holiday pay and a pension contribution.

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A €2,500 personal development budget for books, courses, training and conferences, plus a well-being allowance.

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A MacBook, noise-cancelling headset and any other high-end gear you need to do your best work.

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Hybrid working, with regular collaboration at the office in the centre of 's-Hertogenbosch.

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A 1st class NS Business Card, an electric lease bike or €0.23/km when travelling with your own transport.

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Plenty of autonomy to identify technical improvements, initiate projects and help shape Floryn's data environment.

An international scale-up environment with direct communication, sane working hours, company outings, ski trips and offsites.