Data Engineer

Data Engineer Location: London (Hybrid)Salary: 60,000 - 75,000 + benefits The Role We are working with a fast-growing technology company that is continuing to invest heavily in its data platform as it scales.They are looking for a hands-on Data Engineer to help build and optimise modern cloud-based data infrastructure that supports analytics, reporting, and future AI initiatives across the business.You'll play a key role in developing scalable data pipelines, improving data quality, and helping shape the company's growing data function. Working closely with Product, Engineering, Analytics and Data Science teams, you'll ensure data is reliable, accessible and ready to power business decisions.This is an excellent opportunity to join a collaborative engineering team where you'll have genuine ownership, influence over technical decisions, and exposure to a modern cloud data stack. Key Responsibilities Design, build and maintain scalable ETL/ELT data pipelines across multiple data sourcesDevelop and optimise cloud-based data platforms to support analytics and operational reportingBuild robust data models and transformation workflows using modern engineering best practicesEnsure data quality, governance and reliability through monitoring, validation and testingWork closely with Data Analysts, Product Managers and Software Engineers to deliver high-quality data solutionsOptimise pipeline performance, scalability and cost efficiencyContribute to the ongoing development of the company's cloud data architectureHelp establish best practices around automation, documentation and CI/CD within the data team Required Skills & Experience 3+ years' commercial experience as a Data EngineerStrong Python and SQL skillsExperience building and maintaining ETL/ELT pipelinesCommercial experience working with Azure or AWS cloud platformsExperience with modern data platforms such as Databricks, Snowflake or RedshiftExperience using orchestration tools such as Airflow, Azure Data Factory or PrefectStrong understanding of data warehousing and data modelling principlesExcellent problem-solving skills with a delivery-focused mindsetComfortable working within cross-functional engineering teams Nice to Have Experience with dbtExposure to streaming technologies such as KafkaExperience within a high-growth SaaS or technology businessFamiliarity with Infrastructure as Code (Terraform)Experience supporting machine learning or AI workloads What's on Offer Salary up to 75,000 depending on experienceGenerous benefits packageHybrid working (London-based)Opportunity to join a rapidly growing technology business investing heavily in its data platformHigh-impact role with genuine ownership and technical influenceCollaborative engineering culture with excellent opportunities for progressionUK-based candidates only.Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy.To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.