Senior Data Engineer
We're partnering with a global leader in the maritime industry that is investing heavily in its data capabilities to support digital transformation and ambitious sustainability goals. This is an opportunity to join a highly collaborative engineering team where your work will directly influence business decisions and help shape the future of a truly global operation.
What you'll be doing
Design, build and maintain scalable data platforms using Microsoft Fabric and Azure.
Develop robust, production-grade PySpark data pipelines.
Collaborate with data engineers, software developers, data scientists and product owners in a cross-functional agile team.
Review code, mentor teammates and promote engineering best practices.
Contribute to CI/CD pipelines and modern DevOps practices.
Communicate technical decisions and trade-offs clearly to both engineers and architects.
Improve platform reliability, reduce technical debt and produce high-quality technical documentation.
What we're looking for
Essential
Strong experience building scalable data platforms on Azure using Microsoft Fabric.
Hands-on experience developing production PySpark data pipelines.
Experience with CI/CD and modern software engineering practices.
Strong communication skills and the ability to work proactively within distributed, cross-functional teams.
Nice to have
Interest or experience in Data Science or Machine Learning.
Familiarity with AI-powered development tools and modern engineering workflows.
Why this opportunity?
100% remote working with flexibility (minimum six-hour overlap with CET).
Join a collaborative team of experienced engineers, data scientists and product specialists.
Work on meaningful projects supporting digital transformation and sustainability initiatives.
Long-term contract with strong extension potential.
Modern tech stack centred around Microsoft Fabric, Azure and PySpark.
Contract Details
Location: Fully Remote (Europe)
Start: ASAP (no later than September 2026)
Duration: Initial 6-12 month contract with extension option
Workload: Full-time