Senior Data Engineer - ID44669

• Build and maintain robust data pipelines using Microsoft Fabric
• Bring together data from systems like CRM, ERP, HR and more
• Create clean, structured data models that feed dashboards and reporting tools
• Handle ingestion from databases, APIs, and SaaS platforms
• Ensure high data quality and troubleshoot transformation issues
• Work closely with stakeholders to translate business needs into engineering tasks
• Contribute to a culture of good practices and knowledge sharing with peers

You’ll be someone who enjoys the technical side of data engineering and wants to get your hands into the tools. The ideal candidate will bring:

• Strong experience as a Data Engineer in a modern cloud-based environment
• Proficiency with Microsoft Fabric, SQL, and either Python or PySpark
• Familiarity with working in notebooks and building robust, reusable code
• Experience working with large and complex datasets
• Understanding of data modelling and data quality processes
• A problem-solving mindset and a collaborative way of working
• The ability to turn real-world business needs into working data pipelines and models

Nice-to-Haves:

• Experience working with CRM, ERP, or HR platforms such as Salesforce, Dynamics, SAP, or similar
• Knowledge of Power BI, Power Query, DAX, or Logic Apps
• Familiarity with CI/CD pipelines or DevOps tooling
• Interest in Direct Lake architecture or broader Microsoft ecosystem tools