Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

You will be:

• analyzing complex datasets to identify trends, patterns, and actionable insights,

• writing and optimizing complex SQL queries to support data analysis and product needs,

• ensuring data quality through validation, testing, and defining quality checks,

• profiling and exploring new and existing data sources to assess structure, usability, and reliability,

• conducting deep data investigations to understand lineage, inconsistencies, and anomalies,

• documenting data flows, business logic, constraints, and user processes to build organizational knowledge,

• collaborating closely with Data Engineering, Product, and business stakeholders on data-related initiatives,

• contributing to the development of data models (logical & physical), including semantic layers and curated datasets,

• recommending improvements to data structures for better performance, scalability, and usability,

• building and maintaining business and technical metadata (e.g. glossary, KPIs, data definitions),

• supporting the development and enrichment of the data catalogue across internal and external sources,

• assisting Product Managers in delivering outcomes within the product area,

• supporting business teams during UAT and post-production with analysis and data-related queries,

• partnering with engineering teams to inform system and data design decisions.

Your profile:

• ready to work from the client’s office in Krakow (3 days per week),

• strong experience working with data-heavy projects, preferably in retail or e-commerce environments,

• advanced SQL skills, including writing and optimizing complex queries,

• proven ability to analyze large, complex datasets and translate them into insights,

• experience with data validation, data quality checks, and ensuring data integrity,

• strong understanding of data discovery, data profiling, and source analysis,

• experience documenting data flows, logic, and business processes,

• familiarity with data modelling concepts (logical & physical models, semantic layers),

• ability to collaborate effectively with both technical (engineering) and business teams,

• detail-oriented mindset with a strong focus on data quality and consistency.

  Work from the European Union region and a work permit are required.

Nice to have:

• experience working with data catalogues and metadata management,

• exposure to data governance or data quality frameworks,

• experience supporting UAT processes and working closely with business stakeholders,

• background in large-scale data platforms or transformation initiatives,

• experience in the retail domain is a strong advantage.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision