Uniper

Finance Data Engineer

Uniper Location Not Available

Stellenbeschreibung:

Our Finance Information Excellence team in Düsseldorf is looking for YOU
Our Finance Information Excellence team in Düsseldorf is looking for YOU

Your responsibilities


The Data Engineer in Finance Information Excellence – Data Foundation & Enablement is responsible for mapping, developing, and operationalizing the Finance data structures that leverage and increase the cross-operability of our data. This role supports the Senior Data Engineer in building our data foundation and drive enablement by ensuring data quality, accessibility, and readiness so that processing takes place in our Data Science practice as well as in our teams in accounting, controlling, and internal controls.

Key Responsibilities

  • Support the mapping of data needs and the current data landscape across all finance areas
  • Build and maintain data pipelines, integrations, and transformation processes for finance data
  • Implement data quality checks, monitoring, and validation mechanisms
  • Assist in documenting data models, definitions, and lineage for finance
  • Collaborate with finance stakeholders to understand business requirements and ensure alignment with data solutions
  • Provide technical input to data governance processes and enable finance data literacy
  • Contribute to the continuous improvement of finance data platforms and processes

Your profile

  • Degree in Computer Science, Information Systems, or related field
  • 3–5 years of experience as a data engineer, BI developer, or similar role
  • Proficiency in SQL, data integration tools, ETL/ELT, and cloud-based data platforms
  • Understanding of finance processes and data (e.g., general ledger, consolidation, controls) is a strong advantage
  • Hands-on experience with data quality monitoring and metadata/documentation
  • Ability to work in Agile teams and collaborate closely with stakeholders
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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    30 Nov 2025
  • Standort:

KI Suchagent

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