Senior Analytics Engineer, Operations Data & Automation

Finom; Polska; Híbrido; PLN 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Work & Swim program

Flexible hybrid model

Descripción de la vacante

Finom seeks a Senior Analytics Engineer for Operations to own end-to-end data and trusted metrics. You’ll partner with Operations and TRI, embedding within Data & Analytics AE guild to shape data products and processes rather than just reporting numbers.

You’ll drive reconciliation, onboarding, and payment metrics from the data model to governance, delivering self-serve insights and impactful tooling across Europe.

Formación

• You’ve worked as an analytics engineer or senior analyst on technical projects involving data modeling on a modern data platform (Databricks, Spark, or dbt) — not just querying data others built.
• You write excellent SQL for analytical work, and you can pick up Python for anything SQL doesn't cover well.
• You’re confident gathering requirements directly from operational stakeholders and turning ambiguous asks into clean, documented metrics.
• You default to precision over speed when the two are in tension — Operations data feeds regulatory and financial reporting, and being wrong quietly is worse than being slow.
• You can hold two stakeholders' definitions of 'the same' metric and reconcile them, rather than picking whichever is more convenient.
• You think past the metric to the process it describes — you want to understand how the domain's tasks actually get done, spot which tool or automation would remove real work rather than just report on it, and you push for that change rather than waiting to be asked.
• You have a high level of autonomy and self-direction — you're the one who decides what needs fixing, not just how to measure it.
• AI-assisted workflows and tools are just part of how you work, not a novelty.

Responsabilidades

• Own the Operations data model — reconciliation, treasury, payments, lifecycle, and onboarding — turning raw operational events into documented, trustworthy data products on the DWH.
• Partner directly with Operations stakeholders on day-to-day questions, ad hoc requests, and recurring reporting, acting as their primary data point of contact — while pushing routine, repeatable questions toward self-service instead of answering the same thing by hand every time.
• Look past the metric to the process behind it — understand how everything actually works end to end, spot where manual effort or fragile handoffs are the real problem, and identify which tools (not just which query) would solve it.
• Define and maintain key metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion, working within the team's central metric architecture.
• Participate in data quality and governance practices for the domain.
• Bring process and product ideas to the table directly — you're close enough to the operational reality to see what should change, and this role expects you to say so and help make it happen, not just report the numbers upward.

Conocimientos

SQL

Python

Data modeling

Databricks

Spark

dbt

Herramientas

Databricks

Spark

dbt

Descripción del empleo

Finom seeks a Senior Analytics Engineer for Operations to own end-to-end data and trusted metrics. You’ll partner with Operations and TRI, embedding within Data & Analytics AE guild to shape data products and processes rather than just reporting numbers.

You’ll drive reconciliation, onboarding, and payment metrics from the data model to governance, delivering self-serve insights and impactful tooling across Europe.