Senior Data Engineer - Build Scalable Pipelines (Stockholm)

Xebia Group; Stockholms län; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Xebia Group in Stockholm is seeking an experienced Data Engineer to design and maintain ingestion and ETL pipelines, collaborating with data scientists to deploy ML models and contribute to the data platform.

You will build scalable data solutions on Google Cloud Platform, implement orchestration with Airflow, and uphold strong software engineering practices while communicating clearly in English. On-site work in Stockholm is required.

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 (GCP).
• 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.

Skills

Spark

Scala

Python

Google Cloud Platform

ETL pipelines

Large-scale data

Airflow

Git

CI/CD

Software engineering fundamentals

English communication

Stockholm on-site

Tools

Jenkins

Job description

Xebia Group in Stockholm is seeking an experienced Data Engineer to design and maintain ingestion and ETL pipelines, collaborating with data scientists to deploy ML models and contribute to the data platform.

You will build scalable data solutions on Google Cloud Platform, implement orchestration with Airflow, and uphold strong software engineering practices while communicating clearly in English. On-site work in Stockholm is required.