Azure Data Engineer

Azure Data Engineer | PySpark (Python) & Synapse | Tech for Good / Charity This is the chance to work for a unique organisation Our client is a not-for-profit charity that reviews/certifies companies, governments and financial institutions for their environmental impact and awareness. Our client is the main global authority that certifies and monitors the environmental impact that companies/governments have on the natural environment. Essentially, they provide the equivalent of the "Fair Trade" sticker that you would see on a jar of coffee but for businesses and local governments. The organisation is over 20 years old, headquartered in the UK with an office in central London and has 700 staff globally (100 circa in the UK). Essential skills required: Azure - solid experience required of the Azure Data ecosystem Python - ESSENTIAL as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as it is used heavily Spark Azure Data Lake / Data Bricks / Data Factory Be happy to act as a lead and mentor to the other permanent Azure Data Engineers The tech stack you will be working on is: Azure - a very solid Azure cloud native experience is essential Data platforms on Azure; Synapse, Spark, Azure Data Factory Python Data design patterns, such as medallion architecture & data vault SQL queries, views, stored procs, CTE etc - strong experience required Terraform used for IaC Azure DevOps used for CI/CD DP-203 certification preferred but not essential This is an urgent role and will go fast so if you are interested, please apply quickly Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good / Charity