Senior Analytics Engineer

Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.

Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.

Finom is looking for a Senior Analytics Engineer to join our newly formed and high-performing Data Team. We're building a Data Delivery Platform on Databricks, and we’d love to bring someone on board who’s excited to shape things from the ground up.

Our goal is to build a modern, self-service Data Platform that supports business growth and gives Finom a competitive edge through faster and higher-quality data-driven decisions.

You'll report to the Head of Data Platform and join a small, senior team with a flat structure. As the platform and its user base grow quickly, you'll have the freedom — and the mandate — to take real ownership: starting by delivering the data products our consumers rely on, and growing into an area of the platform that you drive autonomously, with the team's support.

You're a good fit if most of this sounds like you:

You've worked as an analyst or analytics engineer on technical projects involving data platform implementation

You write excellent SQL for analytical tasks

You have experience with Python and PySpark

You're proficient with Git, ETL tools, or dbt

You've built data products or DWH models on a modern data platform (Databricks, Spark, or dbt) — turning raw or streaming sources into documented, consumable datasets, not just querying existing ones.

You understand how streaming pipelines work

You're confident gathering requirements from business stakeholders and turning them into technical solutions

You have a high level of autonomy and self-direction — comfortable working independently and taking initiative without constant supervision

A background in banking or fintech is a strong plus

Your First Six Months at Finom

First month

Learn our ETL framework, data governance principles, data platform architecture
Learn our customer-facing products as well as internal microservices and key business processes
Meet colleagues and stakeholders from the Data Domain
Deliver data products that are currently in our backlog to “touch” the system
First 3 months
As a result of three months you’ve finished with the backlog cleanup and started to support our customers with their daily data needs.
You bring your own ideas regarding the development of Data Platform, ETL framework, Open Metadata and Data Governance process and actively participate in team life - yes, we'd love you to start contributing as a full team member pretty quickly.
First 6 months
Our customers perceive you as a trusted data partner - not as a newbie.
You have your own area or areas of expertise that you drive autonomously with the team support.