Hybrid
Senior Data Engineer - £450/day Outside - 6 Months + Ext
City of London, London
£375.00 - £450.00 per day
Contract
Senior Data EngineerRate: up to £450/day Outside IR35Contract Length: 6 Months (with likely extension)Location: Hybrid - 1 day per week onsite in Central LondonWorking hours: 9am - 5pm - Monday - FridayAn established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.Responsibilities for the Senior Data Engineer:Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standardsLeverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insightsLead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data functionContribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platformsCollaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutionsChampion data governance, privacy, and security best practices, ensuring compliance and protection of customer dataContinuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisationEssential Skills for the Senior Data Engineer:Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streamingStrong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelinesAdvanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions)Managing and querying data lakes or Lakehouse'sExcellent communication skills with the ability to explain complex technical concepts clearly and persuasivelyDesirable Skills for the Senior Data Engineer:Experience with event sourcing, dbt, or related data transformation toolsFamiliarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric)Understanding of machine learning model enablement and operationalisation within data architecturesExperience working within Agile delivery environmentsIf you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer