Senior Data Engineer

New Exciting opportunity for Job Title: Senior Data Engineer Location: Coventry (Hybrid – 3 Days Onsite) Contract Type: 6 Months Contract IR35 Status: Inside IR35 Role Overview We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable and high-performance data platforms on Microsoft Azure. This role will focus on developing secure, reliable, and efficient data pipelines using Azure Synapse Analytics, Azure Data Factory, PySpark, and Azure Data Lake Storage (ADLS Gen2). The successful candidate will collaborate with cross functional teams to translate business requirements into robust technical solutions that enable advanced analytics, reporting, and data-driven decision-making. The position also involves establishing engineering standards, ensuring high data quality, and mentoring junior team members while contributing to modern cloud data architecture initiatives. Essential Skills & Experience • Minimum Bachelor’s degree in a STEM discipline (e.g., Computer Science, Engineering, Mathematics) • 10+ years of experience in Data Engineering or related roles • Strong expertise in: • Azure Synapse Analytics (SQL Pools, Serverless SQL, Spark Pools) • Azure Data Factory (pipelines, triggers, linked services, integration runtime) • PySpark and distributed data processing • Azure Data Lake Storage (hierarchical namespace, folder design, ACLs, RBAC) • Strong knowledge of SQL performance tuning and query optimization • Solid understanding of data modelling and data warehousing concepts (Kimball / Inmon) • Experience building and orchestrating large-scale ETL / ELT workloads • Hands-on experience with Delta Lake and notebook-based development • Proficiency in SQL and Python • Experience implementing CI/CD pipelines and Git branching strategies in Azure DevOps • Strong understanding of data lifecycle management and modern data architectures • Experience working within Agile / Scrum delivery environments