Azure Data Engineer

Job title: Azure Data support Engineer Will the role be 100% remote, hybrid or 100% office? Hybrid (3 Days Week) If the role is hybrid/ office based specify location: Coventry, UK Duration of assignment: 06 Months Role description: Non-negotiable technical requirements: • Strong Azure Synapse engineering • Strong PySpark development • Azure SQL DB stabilisation including SQL performance tuning Seniority signals: • Proven independent operator • Able to deliver at pace with minimal oversight • Can diagnose and permanently fix BAU issues rather than relying on repeated manual intervention Please provide candidate mappings against: 1. specific Synapse/PySpark examples owned through production support 1. SQL performance tuning examples 1. evidence of independent delivery. Key responsibilities: • Non-negotiable technical requirements: • Strong Azure Synapse engineering • Strong PySpark development • Azure SQL DB stabilisation including SQL performance tuning • • Seniority signals: • Proven independent operator • Able to deliver at pace with minimal oversight • Can diagnose and permanently fix BAU issues rather than relying on repeated manual intervention • • Please provide candidate mappings against: • specific Synapse/PySpark examples owned through production support • SQL performance tuning examples • evidence of independent delivery. Key skills/knowledge/experience: • BSc minimum, MSc or PhD in a STEM field (e.g., Computer Science, , • 10+ years of professional experience in data Engineer or a related field, with a proven track record of delivering impactful solutions. • SQL Pools, serverless SQL, Spark Pools • Strong SQL, performance tuning, query optimization • Data modeling & warehouse concepts (Kimball/Inmon) • Pipelines, triggers, linked services, integration runtime • Data flows & orchestration of large-scale ETL/ELT workloads • Distributed data processing, partitioning strategies, Spark optimization • Data transformations, Delta Lake, and notebook-based development • Hierarchical namespace, folder structure design, ACLs, RBAC • Working with large-scale datasets and optimized storage formats • Strong understanding of ETL/ELT frameworks, data lifecycle, and data architecture. • Experience with Azure DevOps, CI/CD, Git branching strategies. • Proficiency in SQL and Python. • Knowledge of Databricks (added advantage). • Experience in Agile/Scrum environments. • Excellent problem-solving, communication, and documentation skills. Good to Have • Domain knowledge. Understanding of the water industry. Person specification: • Collaborate with customers and stakeholders. • Grow your career, while being exposed to new technologies. • Lead projects and inspire both colleagues and stakeholders. • Mentor junior employees using your expertise