Location: City of London, London Salary: £60000.00 - £70000.00 per annum + 20% bonus Type: Permanent London - Hybrid (2 days in the office) £60,000 to £70,000 + bonus & benefits We are working with a leading Lloyd's & London Market insurer who are continuing to invest heavily in their cloud data platform. This role sits within a specialist data engineering team responsible for building & evolving Markel's Azure based data architecture. You will work on a modern Azure data stack including Databricks, Azure Data Factory, Synapse & Data Lake, helping to design & develop scalable data pipelines that support underwriting, analytics & wider business reporting. This is an excellent opportunity for a Data Engineer with a few years of Azure experience who is looking to deepen their cloud engineering capability within a highly collaborative & technically strong team. Responsibilities Design & develop cloud based data solutions using Azure technologies including Databricks, Azure Data Factory, Synapse & ADLS Support the ingestion & transformation of data from multiple global systems into the Azure data platform Work closely with data engineers, architects & product owners to deliver new data capabilities Contribute to CI/CD pipelines & DevOps practices within the data engineering environment Collaborate with stakeholders across the business to understand & deliver data requirements Requirements Experience working as a Data Engineer within an Azure environment Experience building ETL or ELT pipelines & working with large datasets Familiarity with DevOps practices such as Git & CI/CD Strong communication skills & experience working within Agile teams Experience within Financial Services or the London Market insurance sector would be advantageous but is not essential. This role would suit an ambitious Data Engineer with around four to five years' experience who is looking to work with modern Azure technologies & continue developing their technical skillset in a supportive team environment. Contact Alex: alexh@pioneer-search.com or apply below for immediate consideration #J-18808-Ljbffr
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