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Senior Analytics Engineer (Central Data)

FinomPolskaPolska

Źródło:Remote.com
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano3 listopada 2026
Wykryte przez nas
Wykryte przez nas4 listopada 2026
Zarobki
ZarobkiDo uzgodnienia

Finom is looking for a Senior Analytics Engineer to join our Central Data team. In this role, you will own and evolve our central data model, ensuring that certified metrics and data rails are effectively utilized by both our internal teams and AI agents to drive business value.

Key responsibilities

  • Design and evolve entities, metrics, and data products within the central model, ensuring high standards for documentation, lineage, and testing.
  • Build and maintain robust data pipelines, onboard new data sources, and manage CI/CD processes to ensure data quality.
  • Collaborate directly with business stakeholders to understand their processes, scope requirements, and connect data initiatives to tangible business outcomes.
  • Integrate LLM-based steps into reporting and metric pipelines for tasks such as classification, translation, and unstructured data preparation.
  • Expose the semantic layer to internal tools and agents through APIs and shared standards, ensuring data is reproducible and traceable.

Requirements

  • Expert-level SQL skills and strong experience in dimensional or semantic data modeling.
  • Proficiency in Python, including writing tests and utilizing version control systems.
  • Proven experience building metrics and semantic layers, as well as managing end-to-end ETL and data warehouse or lakehouse workflows.
  • Hands-on experience implementing LLMs in production data environments for tasks like extraction or classification.
  • A consultative mindset with the ability to translate complex business processes into scalable technical solutions.

What we offer

  • High autonomy in choosing tools, approaches, and trialing new open-source solutions or vendors.
  • The opportunity to work in a modern data stack within a small, impactful team that partners closely with finance and other business functions.
  • A culture that prioritizes long-term thinking, professional growth, and the use of AI assistants to automate routine tasks.
  • Clear career progression paths, including domain ownership and mentorship opportunities as you become more integrated into the team.

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