Middle Data Engineer

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:

• developing, constructing, testing and maintaining architectures (such as data warehouses and large-scale processing systems),
• ensuring that the developed architecture supports our clients’ business requirements,
• developing data set processes for data modeling, mining, and production,
• employing a variety of languages and tools (e.g., scripting languages) to marry systems together,
• recommending ways to improve data reliability, efficiency and quality.

Job requirements:

• 3+ years of professional experience as Data Engineer,
• able to think analytically and critically, and good at solving problems creatively,
• understands projects from the business perspective on an advanced level,
• experienced with data understanding and data importing, data cleaning and manipulation,
• proficiency in Python,
• experienced with Databricks or Spark,
• experienced with SQL,
• experienced with Snowflake and dbt,
• knowledge of data modeling techniques,
• familiarity with Airflow,
• familiarity with cloud (AWS),
• fluent English communication skills (B2+).

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

Recruitment Process:

CV review – HR Call – Interview – Decision