Snr Data Engineer

My client is looking for an experienced Data Engineer to join and help design, build, and optimise data platforms that enable powerful insights and better decision-making. You will work with modern Azure data technologies, building scalable data pipelines and data warehouses that support advanced analytics and visualisation through Power BI and Tableau. If you enjoy solving complex data challenges and turning raw data into meaningful insights, we would love to hear from you.

Primary duties & responsibilities:

· Designing and building data pipelines and ETL processes using Azure Data Factory and SQL.

· Developing and maintaining data warehouses and data models (relational and star schema).

· Integrating data from multiple sources and ensuring data quality, governance, and security.

· Designing and implementing data integration solutions using Azure Synapse, Azure SQL, Data Lake and/or Databricks.

· Monitoring and optimising data pipelines and integration processes.

· Supporting and maintaining existing data environments and BI platforms.

· Collaborating with stakeholders to understand business requirements and translate them into data solutions.

· Supporting the development of Power BI or Tableau dashboards and reporting solutions.

· Troubleshooting technical and data issues and improving overall data platform performance.

Required skills & experience:

· 4-7 years’ experience in a data engineering, BI, or data warehouse environment.

· Strong understanding of data warehousing and data modelling concepts.

· Azure Data Factory

· Azure SQL / SQL Server

· Azure Synapse Analytics

· Azure Data Lake / Storage Accounts

· Databricks (advantageous)

· Strong SQL development skills using SSMS and Visual Studio.

· Experience working in Agile environments.

· Exposure to Power BI and/or Tableau.

What Makes You Successful:

You are someone who:

· Thinks analytically and enjoys solving complex data challenges.

· Can translate business needs into technical data solutions.

· Communicates clearly with both technical and business stakeholders.

· Takes ownership and manages priorities effectively.

· Continuously learns and adapts in a fast-moving data environment.