Senior Data Engineer

You’ll play a key role in designing, developing and maintaining robust data solutions, improving data quality and enabling business-wide reporting and analytics. Working closely with Data Analysts, BI Developers and wider stakeholders, you’ll help deliver reliable, scalable data solutions that support key business decisions., * Design, build and maintain scalable ETL/ELT data pipelines

• Develop and optimise cloud-based data solutions
• Build and maintain Azure Data Factory pipelines
• Work with Azure SQL, Synapse Analytics and Microsoft Fabric
• Improve data quality, governance and documentation processes
• Optimise SQL queries and database performance
• Develop data models to support analytics and reporting requirements
• Collaborate with BI Developers, Data Analysts and business stakeholders
• Support data platform migrations from legacy environments into Azure
• Contribute to best practices around data engineering, automation and deployment, * Microsoft Fabric
• Azure Synapse Analytics
• Databricks
• Apache Spark / PySpark
• dbt
• Apache Airflow
• Power BI
• Azure DevOps
• CI/CD pipelines
• Terraform

• Strong commercial experience as a Data Engineer
• Advanced SQL development skills
• Commercial Python experience
• Hands-on experience with Azure Data Factory (ADF)
• Experience working with Microsoft Azure data services
• Strong understanding of ETL/ELT processes
• Experience designing and maintaining data pipelines
• Knowledge of data warehousing concepts and data modelling
• Experience using Git/version control
• Strong communication skills with both technical and non-technical stakeholders

• £65k+ salary package
• Hybrid working model
• Company bonus scheme
• Private healthcare
• Enhanced pension contribution
• Professional development budget
• Microsoft certification opportunities
• Clear progression opportunities into Lead Data Engineer / Data Engineering Manager positions