Salary: £75,000 - 75,000 per year Requirements: Strong commercial data engineering experience Hands-on experience building and operating cloud-based data platforms in production Strong programming skills (Python, SQL and/or Spark-based frameworks) ETL / ELT pipeline design at scale Experience with modern data orchestration and workflow tools Infrastructure as Code (e.g. Terraform or similar) CI/CD practices and DevOps-style delivery Experience working in regulated or complex environments is a bonus Responsibilities: Lead the development of an enterprise-scale databricks platform using modern data engineering tools and frameworks Build ingestion, transformation and validation pipelines across cloud data sources, APIs and operational systems Translate data architecture into executable build plans alongside the Data Architect Optimise data pipelines and processing workloads for performance, reliability and cost Embed data quality, validation and monitoring throughout the platform Operate within a CI/CD-driven engineering environment, including version control, automated deployment and infrastructure as code Work with cloud services across Azure (experience with AWS or GCP is acceptable) Coach and technically lead a small team of Data Engineers Technologies: AWS Architect Azure CI/CD Cloud Databricks DevOps ETL GCP Support Python SQL Spark Terraform More: At Bibby Financial Services, were a global organization operating in nine countries, supporting over 9,000 SMEs worldwide. We are committed to creating an inclusive workplace and are currently investing heavily in our data engineering capability to support growth across the UK, Europe, and beyond. We offer generous benefits, including private healthcare, a company pension scheme, flexible benefits, access to an online wellbeing center, and 25 days of holiday plus bank holidays, increasing with service. If you are passionate about data engineering and want a role where your technical judgment matters, wed love to hear from you. last updated 6 week of 2026