Senior Data Engineer - Microsoft Fabric

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