Senior Data Engineer

Senior Data Engineer London | Fleixble, hybrid working pattern | Outside IR35 | 12 month engagement We're looking for a Senior Data Engineer who understands that great data engineering is about building reliable, scalable data products, not simply moving data from A to B. This is an opportunity to shape modern data platforms, solve complex engineering challenges, and deliver data solutions that create genuine business value. You'll join an organisation investing heavily in its data capabilities, working alongside architects, analysts, data scientists, and engineering teams to build robust, production-grade data platforms that support analytics, AI, and operational decision-making. Why join Work on large-scale data and cloud transformation initiativesInfluence architecture, engineering standards, and platform strategyDeliver solutions that have measurable business impactJoin a collaborative team of experienced data professionals Responsibilities Design, build, and maintain scalable data products and pipelinesOwn solutions from requirements gathering through to deployment and monitoringDevelop cloud-native data platforms using modern engineering practicesImprove platform performance, resilience, security, and cost efficiencyImplement data quality, observability, and governance controlsCollaborate with stakeholders to translate business requirements into technical solutionsContribute to CI/CD, infrastructure-as-code, and automation initiativesMentor engineers and champion data engineering best practice Requirements Strong software engineering fundamentals including Python, Scala or Java, SQL, Git, testing, APIs, and CI/CDExperience building modern cloud-based data platforms within AWS, Azure, or GCPStrong knowledge of technologies such as Databricks, Snowflake, Spark, Kafka, dbt, Airflow, or Azure Data FactoryExperience designing and delivering end-to-end data engineering solutionsUnderstanding of distributed computing, data partitioning, optimisation, and large-scale data processingProduction mindset with experience in monitoring, security, data quality, resilience, and operational supportAbility to balance technical excellence with pragmatic decision-making Desirable experience Experience developing lakehouse or modern data warehouse architecturesKnowledge of infrastructure-as-code tools such as TerraformExposure to machine learning or advanced analytics environmentsRelevant cloud or data platform certifications London | Fleixble, hybrid working pattern | Outside IR35 | 12 month engagement We welcome applicants from all backgrounds. Our client is an equal opportunities employer. At Xpertise, we keep things human. Your application will always be reviewed by a real person. We do not rely on AI or automated screening tools. Every candidate receives fair, considered attention from our team. Right to work in the UK is required for this role.