Data Quality Analyst | EU

Confidential

Remote job permanent

Posted: February 13, 2026

Required Skills

Job Description

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – 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.

About Project

This project focuses on designing, developing, and operating Data Quality solutions within a complex banking environment. We are seeking a Data Quality Analyst who is comfortable working across both business and technical domains.

You will be:

• serving as a Data Quality specialist supporting governance and analytics teams,

• designing, developing, and maintaining Data Quality checks and controls,

• contributing to the selection and optimization of Data Quality tools,

• translating business and governance requirements into Data Quality implementations,

• proactively monitoring Data Quality results and execution logs,

• initiating and coordinating Data Quality resolution activities,

• performing impact analysis and ensuring lineage metadata availability,

• ensuring quality assurance and adherence to defined standards,

• collaborating with Data Governance, Data Modeling, Architecture, and QA teams,

• providing training and guidance to stakeholders,

• supporting releases of Data Quality solution components,

• participating in Agile delivery processes.

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