[Hiring] Senior Analytics Engineer @Finom

Role Description

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 will 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:

• Delivering the data products our consumers rely on.
• Growing into an area of the platform that you drive autonomously, with the team's support.

What You Will Be Doing

• 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'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:
  • Finish with the backlog cleanup and start to support our customers with their daily data needs.
  • Bring your own ideas regarding the development of Data Platform, ETL framework, Open Metadata, and Data Governance process and actively participate in team life.
• 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.

What You Will Get In Return

• Make a genuine impact on the product.
• Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development.
• Enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
• Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program.
• Receive unwavering support and care, reflecting our commitment to your well-being and success.
• Immerse yourself in our exclusive Work & Swim Program, spending one month in a comfortable corporate apartment in enchanting Cyprus.

Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.