Senior Data Engineer

Summary

Build and maintain scalable data pipelines processing billions of daily events using Spark, cloud platforms, and orchestration tools to support analytics and ML workloads.

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:

Maintaining an ingestion pipeline processing billions of events daily against a defined SLA
Supporting teams that build and optimize complex data pipelines
Identifying platform problems with other engineering teams
Developing tools and frameworks for the data platform
Supporting data scientists and analysts with production workloads
Contributing to ML-platform and streaming initiatives
Establishing software-engineering and data-development practices

Your profile:

3+ years of experience in data engineering
Hands-on experience building, scaling, and operating production-grade data platforms or data infrastructure, including reliability, observability, performance, and self-service capabilities.
Experience working with an orchestration tool (ex, Airflow)
Experience working with a large data set
Experience building complex ETL pipelines
Experience working with cloud providers such as GCP, AWS, or Azure
Strong programming skills in Spark with Scala and Python
Experience working with CI/CD tools like Jenkins and Git
Strong understanding of Software Engineering practices and principles
Excellent problem-solving and communication skills
Self-motivated and have a proven ability to take the initiative to own the problems that come up and solve them

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

Nice to have:

Kafka or another messaging system
Kubernetes
Streaming platforms
BigQuery or Redshift data-warehouse administration

Recruitment Process:

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

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