Azure Data Governance Specialist

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, in Poland, our roots came from two teams – PGS Software, known for worldclass cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering topnotch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and ecommerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, datadriven solutions, and nextgen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.

We value smart tech, real ownership, and continuous growth. We use modern, opensource stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart?

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

You will be:

• Define, data classification, quality, ownership models,

• Implement governance policies using Microsoft Purview,

• Create golden record processed with MDM,

• Work closely with stakeholders to understand and recommend approaches for data governance implementation of all required data sources,

• Proven experience in implementing endtoend data governance using Microsoft Purview,

• Define metadata, business glossary, data stewards, owner etc.,

• Set up automated data quality checks,

• Manage cataloging and discoverability of internal and external data fields,

• Identify and implement critical data elements,

• Develop automated data classification and labeling mechanisms using MS Purview,

• Knowledge of data governance lifecycle and frameworks such as DAMADMBOK,

• Exposure to regulatory frameworks like GDPR, ISO 8000;