Senior Analytics Engineer

Finom·Slovenia, Cyprus, Poland, Serbia, Spain·Удалённо·11 мес. назад

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.

What You Will Be Doing

This is not your typical plug-and-play role — the team is new, and so is the platform. That means plenty of freedom, responsibility, and challenges to tackle:

Develop the DWH core model that transforms raw Kafka topics into documented, easy-to-use data products that bring value to data consumers (ML engineers, data analysts, and domain representatives).

Collaborate closely with data engineers to develop our streaming ETL framework and improve its reliability and user experience.

Help the team deliver new features and maintain the existing ones in the OpenMetadata data catalog.

Actively participate in data quality and data governance tools and processes implementations.

Partner with data consumers across the business, supporting their daily data needs and turning requirements into reliable, well-documented data products.

Tackle unique challenges that come with building a Data Platform from scratch.

Who You Are

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.