> Markdown version of [/jobs/ext/3905251-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3905251-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Datahead - **Location:** London, UK - **Experience:** Expert - **Salary:** £78,234.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Microsoft Online Services, Computer Programming, Information Engineering, Data Migration, Data Visualization, Power BI, SQL Databases, Pyspark, Data Analytics, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5343498130 ## About the Role * Extensive experience with the Microsoft tech stack, particularly Azure Synapse Analytics, Data Factory, and Databricks. * Strong programming skills in PySpark, SQL, and familiarity with DAX. * Proven track record of leading data migration projects, ideally within a lakehouse environment. * Experience with data visualisation and report development using Power BI. * Excellent communication, stakeholder management, and problem-solving skills. ## Description As a Senior Data Engineer, you will: * Lead the migration of underwriting data from multiple systems into an Azure Cloud Lakehouse environment. * Utilise PySpark within Azure Synapse Analytics to develop scalable data pipelines and processing frameworks. * Design and implement robust data engineering solutions, creating a single version of truth for data analytics and reporting. * Develop self-service reporting capabilities using Power BI, enabling business users to access actionable insights. * Establish and uphold global standards for data engineering design and delivery within the Microsoft ecosystem., * Build, optimise, and maintain data pipelines in Azure Synapse. * Collaborate with cross-functional teams to ensure seamless integration and transformation of underwriting data. * Lead the creation of intuitive Power BI reports and dashboards, selecting visualisations that support decision-making. * Drive the adoption of a data-driven culture across the organisation, enabling data accessibility for all users.