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Deloitte Central Europe

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Data Governance Technology (Senior) Consultant | Serbia

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🚀As a Data Governance Technology (Senior) Consultant, you will be embedded in our technology strategy team, advising clients across various industries such as financial services, energy, insurance, and manufacturing on how to design, implement, and operate modern data governance programmes.

This role spans the full spectrum, from early-stage strategy and tool selection, through hands-on platform configuration and data quality design, to stakeholder engagement with C-level executives and data stewards alike. You will work with best-in-class tooling and operate as a trusted advisor across the EMEA region.

🔎If you are / have:

  • Minimum 3 years of experience working with data in a business or technical role
  • Strategic and analytical mindset, able to structure ambiguous problems and drive to meaningful conclusions
  • Ability to gather and translate business and technical requirements across different industries
  • Practical knowledge of Informatica (on-premise and/or cloud) configuration, metadata management, or data quality rule authoring and data integration
  • Practical knowledge of integrating third-party APIs using RESTful services, working with JSON/XML, authentication methods (OAuth, API keys, JWT), and API testing tools
  • Previous experience of data related projects (data warehouse, data lake, business intelligence, data quality or data governance)
  • High-quality client-facing documents: requirements, design specs, technical reports, and executive presentations
  • English at advanced level, both written and spoken
  • Practical SQL knowledge, comfortable reading and writing queries against relational and analytical databases
  • Familiarity with Python, Java or Groovy scripting is a supporting skill, not the daily focus
  • Proficiency in MS Excel and MS PowerPoint
  • Positive, can-do mindset with the resilience to thrive in a fast-paced, global environment
  • Interest in areas such as:
- Data governance
- Data architecture
- Data engineering
- Agentic AI
- AI & Data strategy
- Data Modernization & Analytics
- GenAI & Intelligent Automation


🟢Moreover, the following will be an advantage:

  • Hands-on experience with Data Quality or Data Governance projects
  • Practical knowledge of Colibra or Attacama - configuration, metadata management, or data quality rule authoring
  • Understanding of data cataloguing, business glossary design, lineage, or MDM concepts
  • Experience in Agile delivery environments (Scrum, Kanban)
  • Familiarity with data visualization tools such as Power BI or Tableau
  • Exposure to cloud data platforms — Snowflake, Databricks, or similar
  • Knowledge of regulatory frameworks relevant to data (GDPR, BCBS 239, or sector-specific)

Skills

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See also

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