Senior Data Engineer

Expected, Azure SQL, Python, SQL

Operating system, Windows

About the project, We're investing heavily in our global data platform and building a team that can turn ambition into reality. This role is a key part of that journey. You'll help shape and scale our data platform, modernise existing solutions, and make trusted data available across the business, including for emerging AI use cases.

This is how we work, in house, you develop several projects simultaneously, you have influence on the technological solutions applied

Team members, big data developer

Your responsibilities, Design, build and maintain scalable data pipelines across Microsoft Fabric, including Lakehouse, Warehouse, OneLake and Fabric Data Factory, Lead the migration of existing Azure Synapse and Azure Data Factory solutions into Fabric while keeping reporting and analytics services running smoothly, Develop and optimise dimensional and medallion-layer data models to support business reporting and analytics, Build and support data interfaces that enable AI tools and services to access governed enterprise data securely, Write and maintain production-quality Python, PySpark and SQL code, Implement CI/CD, source control, automated testing and monitoring practices across data engineering assets, Apply data governance and security controls using tools such as Microsoft Purview and Microsoft Entra ID, Monitor and optimise Fabric capacity utilisation, balancing performance with cost efficiency, Maintain clear technical documentation, architecture decisions and operational runbooks, Mentor and support junior engineers, provide technical leadership and act as an escalation point for complex data engineering challenges, Collaborate with architects, analysts and business stakeholders to ensure the platform meets current and future needs

You'll bring a mix of technical depth, practical problem solving and the ability to work with people at all levels of the organisation., Ideally, you'll have:, At least six years of data engineering experience, with significant exposure to Azure cloud technologies, Hands-on experience delivering production solutions using Microsoft Fabric, A track record of migrating Azure Synapse and Azure Data Factory workloads into Fabric environments, Strong Python and SQL development skills, Experience working with Apache Spark and PySpark at scale, Good knowledge of Azure Synapse Analytics, including SQL and Spark workloads, Experience designing dimensional models and lakehouse architectures, Strong understanding of source control, DevOps and CI/CD practices, Previous experience mentoring, coaching or managing engineers, The ability to explain technical concepts clearly to non-technical audiences, Professional working proficiency in English

Optional, Model Context Protocol (MCP), AI agents, vector databases or retrieval-augmented generation (RAG) solutions, dbt or similar transformation-as-code tools, Terraform or Bicep, Microsoft Purview, Manufacturing, engineering or industrial data environments, Microsoft data certifications such as DP-203 or DP-600, Scala

What we offer, The opportunity to help build and shape a modern global data platform from the ground up, Exposure to large-scale Microsoft Fabric and Azure technologies, A genuine opportunity to influence architecture, standards and engineering practices, A collaborative international environment where data is becoming central to business strategy, Opportunities to mentor others and grow your leadership capability, Competitive salary and benefits package

This is how we work on a project, Continuous Deployment, Continuous Integration

Benefits, sharing the costs of sports activities, private medical care, remote work opportunities, flexible working time, fruits, dental care, no dress code, coffee / tea, drinks, parking space for employees, leisure zone, extra social benefits, holiday funds

THERMAL CERAMICS Polska Sp. z o.o., At Morgan Advanced Materials, we make specialist materials that help products perform better, last longer and work more reliably. Behind that sits a growing data capability that's helping the business make smarter decisions and get more value from its technology investments.