Senior Analytics Engineer

Krakow

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Finom

Finom is an online payment solution for entrepreneurs that makes it easy to open a business account and securely manage their finances.

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Finom is looking for a Senior Analytics Engineer to join our freshly-formed Data team. We're building a Lakehouse from scratch on Databricks, and we’d love to bring someone on board who’s excited to shape things from the ground up.

What You Will Be Doing

  • Collaborate with the Data Product Manager to design and implement data governance and data quality processes, while scoping and delegating tasks to data engineers
  • Gather and translate data requirements from stakeholders including ML engineers, data analysts, and product managers into technical solutions
  • Analyze data and design data marts to support various business domains
  • Tackle all sorts of unique, non-standard challenges that come with building a Lakehouse from scratch

Who You Are

  • Experienced as an analytics engineer or analyst on technical projects involving data management or analytical platform implementation
  • Strong SQL skills for analytical tasks and reporting
  • Confident in gathering business requirements and translating them into technical specifications
  • Familiar with working alongside data engineers or ETL developers
  • Hands-on experience setting up business processes from scratch
  • Proactive and autonomous, comfortable working with minimal supervision in a fast-paced environment
  • Background in banking or fintech is a plus
  • Python skills for automation, orchestration, or data analysis are a plus
  • Languages: English (full working proficiency) – must; Russian (basic working proficiency) – is a plus
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!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Data analysis Databricks Data governance Data management Data quality ETL FinTech Machine Learning Python SQL

Region: Europe
Country: Poland

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