Data Governance & Metadata Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on metadata engineering and data governance within a lakehouse environment. Requires skills in Java, Python (pandas), Databricks, Unity Catalog and Microsoft Purview. Responsibilities include modeling data structures, integration and automation, maintaining metadata standards, and collaborating with teams to ensure compliance and data quality. Benefits include private medical care, training, bonuses.

new

Data Governance & Metadata Engineer

Company: Euroclear

from: 22 July 2026
to: 21 August 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Kraków, Podgórze Duchackie
Kraków, Podgórze DuchackiePuszkarska 7lView on map

Requirements

Expected technologies

Java
Python
pandas
Linux
REST APIs
SQL
Databricks
Unity Catalog
Microsoft Purview
Git

Optional technologies

Databricks
Delta Lake
Azure services
Collibra

Operating system

Linux

Our requirements

  • Hands‑on experience with metadata platforms and governance tooling.
  • Strong understanding of data modelling, metadata architectures, lineage, and catalog concepts.
  • Proficiency in Java and Python (mandatory pandas expertise).
  • Solid Linux skills.
  • Experience with REST APIs, SQL, and metadata extraction.
  • Practical experience with Databricks and Unity Catalog.
  • Familiarity with Microsoft Purview concepts (scanning, classifications, lineage).
  • Knowledge of data governance and data quality frameworks.
  • Strong documentation and communication skills.
  • Experience with Git and versioning workflows.

Optional

  • Advanced hands‑on experience with Databricks (Spark, Delta Lake, Unity Catalog, jobs).
  • Experience integrating Purview and Collibra in hybrid governance setups.
  • Azure services and orchestration tools experience.
  • Metadata scanning, MDM, or lineage tooling experience.
  • Collibra workflow development.
  • Understanding of data security, classification, and access control models.
  • Familiarity with industry lineage standards and open metadata approaches.

Your responsibilities

Metadata Engineering & Automation
  • Model and document data structures, metadata relationships, and end to end lineage across data platforms (including lakehouse architectures).
  • Configure and maintain metadata workflows, connectors, and governance assets.
  • Build automations and integrations in Java and Python (strong pandas expertise required).
  • Integrate technical metadata from Databricks (Spark, Delta Lake, Unity Catalog) and Microsoft Purview into governance tools.
  • Operate and troubleshoot metadata services on Linux (logs, services, deployments).
  • Data Governance
  • Maintain data domains, dictionaries, glossaries, classification models, and stewardship structures.
  • Define and enforce metadata standards and data quality rules across analytical platforms.
  • Support impact analysis, remediation, and governance alignment for data products and lakehouse use cases.
  • Collibra / Purview
  • Maintain metadata, lineage, stewardship models, and workflows in Collibra.
  • Integrate Collibra with technical metadata sources (e.g. Databricks, Unity Catalog, Microsoft Purview, SQL engines) via APIs, scanners, or pipelines.
  • Align governance models between Collibra and Purview (glossaries, classifications, lineage where applicable).
  • Provide onboarding, training, and high quality documentation.
  • Cross Functional Work
  • Collaborate with data engineers, platform teams, and product owners to ensure consistent governance standards in Databricks, Unity Catalog, and Purview.
  • Assess risks, impacts, and compliance aspects in data related projects.
  • Translate technical platform concepts (Spark, lakehouse, catalogs, semantic layers) into clear governance artefacts.
  • Company

    What we offer

    • Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries.
    • Practice your talents in a highly professional international environment.
    • Join a learning and development environment with an emphasis on knowledge sharing and training.
    • Competitive salary and comprehensive benefits.

    Benefits

    • private medical care
    • sharing the costs of professional training & courses
    • life insurance
    • remote work opportunities
    • parking space for employees
    • employee referral program
    • charity initiatives
    • annual bonus

    This is how we work

    Data Governance & Metadata Engineer
    I apply to:
    Euroclear
    Kraków, Podgórze Duchackie
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