Base pay rangeFull-time, PermanentReassured are looking for a Data Analytics Engineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in a fast-paced, collaborative environment.As a Data Analytics Engineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL, modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a key role in shaping our Lakehouse architecture.ResponsibilitiesBuilding and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks)Designing semantic models and dashboards for business insightsCollaborating across teams to understand requirements and deliver fit-for-purpose data productsSupporting the productionisation of ML pipelinesWorking in an Agile/DevOps environment to continuously evolve our data platformQualificationsStrong SQL and Python skillsSolid experience with Azure data services and DevOps (CI/CD)Knowledge of data modelling (Star Schema) and Power BIA logical, analytical mindset with great attention to detailExperience in regulated industries like finance or insurance is a plusFamiliarity with Apache Kafka or unstructured data (e.g. voice)Ready to shape the future of data at Reassured? If you're excited by the idea of building smart, scalable solutions that make a real difference, we’d love to hear from you. Apply now and let’s build something brilliant together.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology #J-18808-Ljbffr