Senior Data Engineer: Build Scalable ETL & ML Pipelines

Xebia

Stockholms län

On-site

SEK 700,000 - 1,200,000

Full time

14 days+

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Job summary

Xebia is seeking an experienced Data Engineer to join our on-site team in Stockholm. You will build and maintain ingestion pipelines, design and optimize ETL processes, and contribute to the data platform and ML workflows.

The role requires strong programming with Spark, Scala, and Python, plus hands-on GCP experience and a track record with large-scale datasets. You will collaborate with Data Scientists to bring ML models into production, enforce best practices, and continuously improve

Qualifications

5+ years of experience as a Data Engineer or in a comparable role.
Strong Spark, Scala and Python skills.
Hands-on experience with Google Cloud Platform.
A track record of building complex ETL pipelines.
Experience working with large scale data sets.
Knowledge of Airflow or a comparable orchestration tool.
Experience with Git and CI/CD practices and tools, such as Jenkins.
Solid software engineering fundamentals.
Autonomy, ownership and clear communication in English.
Open to work on-site in Stockholm.

Responsibilities

Developing and maintaining ingestion pipelines handling billions of events per day.
Designing, building and optimising complex ETL pipelines.
Developing the tools and frameworks that make up the data platform.
Supporting other teams working on and with the platform.
Working with Data Scientists to take ML models into production.
Contributing to the ML platform and to streaming solutions.
Setting good practice across software and data engineering.
Identify bottlenecks in the existing platform and improving them.