Job description
Description
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 world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch 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 e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen 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, open-source 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 end-to-end 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 DAMA-DMBOK,
Exposure to regulatory frameworks like GDPR, ISO 8000;
Requirements
Your profile:
Proven experience implementing end-to-end data governance, including cataloging, classification, lineage, business glossary, and data stewardship setup,
Skilled in defining metadata standards, setting up rule-based and automated data quality checks, and applying sensitivity labels using Microsoft Purview and Azure-native tools,
Hands-on experience with golden record creation, entity resolution, and master data lifecycle using tools like Azure Data Factory, Profisee, or Microsoft MDS,
Solid understanding of data governance frameworks (e.g., DAMA-DMBOK) and regulatory standards such as GDPR and ISO 8000,
Comfortable working with Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake; familiarity with Power BI for lineage and reporting,
Able to collaborate with business and technical stakeholders, define ownership models, and influence adoption of governance policies across teams;
Work from the European Union region and a work permit are required.
Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/
Recruitment Process:
CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview - Decision
