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Senior Analytics Engineer (Central Data)

DataWorkplace — unknown
Published on 2026-11-03
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Develop Finom’s central data model, certified metrics and data products, while building reliable pipelines and tools that make trusted data available to employees and AI agents. Partner with business stakeholders to improve processes and connect data work to business impact, including the evaluated use of LLMs in reporting workflows.

About the company

Finom is a European business banking and finance platform that combines accounts, cards, invoicing, and accounting tools for SMEs and entrepreneurs.

The team

Central Data, reporting to the Head of Central Data; Finance is the primary partner.

Stack

SQLPythonLLMsMCPAPIsCI/CDDatabricksUnity Catalog

What you'll do

  • Design and evolve central data entities, metrics and products with tests, lineage and documentation
  • Build and maintain data pipelines, onboard sources, and support CI/CD, data quality and migrations
  • Work with stakeholders to understand processes, scope solutions and connect data work to business value
  • Support recurring reporting, regulatory and audit cycles, reconciliations and business data requests
  • Add and evaluate LLM steps in reporting and metric pipelines
  • Expose certified semantic data to internal tools and agents through MCP and APIs
  • Prepare traceable, reproducible data for agentic tools and external recipients

What we're looking for

  • Expert SQL and strong dimensional or semantic data modelling skills
  • Working Python skills, including tests and version control
  • Experience building metrics and semantic layers
  • ETL and data warehouse or lakehouse experience, including end-to-end source onboarding
  • Hands-on production experience using LLMs for data work
  • Ability to understand business processes, propose solutions and frame business value

Nice to have

  • Databricks and Unity Catalog
  • MCP, tool calling, tracing and LLM application or agent evaluation experience
  • Workflow automation tools such as n8n
  • CI/CD, orchestration and infrastructure-as-code
  • Fintech or banking experience, especially transaction monitoring, treasury, reconciliation or regulatory data
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