Mid/Senior Data Engineer (AWS)

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 and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

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 support tech communities, 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.

Your profile:

• 3+ years of professional experience in data engineering or a related technical role,
• hands-on experience with AWS and cloud-based data platforms,
• strong SQL and data modelling skills,
• experience with production-scale data warehouses such as Amazon Redshift, Snowflake, or BigQuery,
• proven experience with Python, dbt, and Apache Airflow,
• familiarity with Kafka, Spark, and Apache NiFi,
• experience with Docker and Kubernetes,
• strong analytical, problem-solving, communication, and collaboration skills,
• comfortable working with large and complex datasets in production environments,
• excellent English skills and being able to communicate effectively with international teams,
• a proactive mindset and being focused on continuous improvement.

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

Recruitment Process:

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