Senior Analytics Engineer

Hello, let’s meet!

We are Xebia a place where experts grow. For nearly two decades now, weve 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.

Were passionate about Cloudbased 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? Its the little details, like our attitude, dedication to knowledge, and the belief in peoples 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, weve talked a lot about ourselves – but wed love to hear more about you.

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

You will be:

• gathering business requirements for data solutions (reports, analysis),

• • providing guidance on metrics for monitoring business performance,

  • • overseeing, developing data pipelines, and executing data transformations (primarily in SQL),

    • • designing and implementing data models within a BI tool,

      • • creating reports and dashboards,

        • • validating and testing data,

          • • presenting results to the business and supporting decisionmaking based on insights,

            • • sharing knowledge on data literacy,

              • • keeping current with the latest trends and best practices in analytics engineering.