Data Engineer

Azure Databricks Engineer 12 months contract London (3 days per week needed in office) We're looking for a highly skilled and experienced Azure Databricks Engineer to be a leader in our data team. In this role, you'll design and build modern data solutions, focusing on cloud-native platforms and architecture. You will be responsible for creating and optimizing data pipelines, from big data ingestion to complex analytical processing. A deep understanding of cloud data architecture and a hands-on, problem-solving approach are essential. Your work will directly support our data strategy and enable key business insights. Skills: • 12+ years of experience in data ingestion, processing, and building analytical pipelines. • 4+ years of hands-on experience with the Microsoft Azure data stack, including Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Lake Storage (ADLS). • Expertise in SQL and Python. • Experience with data integration and ETL tools like Informatica IICS, as well as modern data warehousing concepts and technologies like Delta Lake. • Proven experience in data integration, modeling, and transformation within the insurance or reinsurance market. • Familiarity with both on-premise and cloud databases, specifically Oracle and SQL Server. • Experience with Agile methodologies (Scrum, SAFe) and tools such as Jira or Azure DevOps. • A strong understanding of mass data ingestion, data quality, and master data management. • In-depth knowledge of data security challenges, data delivery principles, and data modeling concepts. • Excellent communication, teamwork, and active listening skills. • Professional certifications in Databricks and Azure are highly desired.