Senior Analytics Engineer

  • Vollzeit
  • Remote
  • Zypern
  • Senior
  • Unbefristet
  • Informationstechnologie
  • vor 13 Tagen
Vorteile
  • Aktienoptionen
  • Bildungshaushalt
Bewerben

Stellenbeschreibung

What You Will Be Doing

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:

  • 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're a good fit if most of this sounds like you:
  • 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
    As a result of three months you’ve finished with the backlog cleanup and started to support our customers with their daily data needs.
    You bring your own ideas regarding the development of Data Platform, ETL framework, Open Metadata and Data Governance process and actively participate in team life - yes, we'd love you to start contributing as a full team member pretty quickly.
    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.

    Ursprünglich veröffentlicht: 14. Juli 2025 · Zuletzt als aktiv bestätigt: 9. Juli 2026

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