About this role
Salary: £75,000 - 85,000 per year
Requirements: Senior-level experience in data engineering with strong hands-on Databricks skills, including PySpark, Spark SQL, and Delta LakeAdvanced SQL and Python coding skillsTrack record of building and optimising enterprise-scale data pipelines and ETL/ELT solutionsSolid grounding in data architecture, modelling, and modern data platform designCloud experience, preferably AWSFamiliarity with CI/CD and source control best practiceDesirable: data science-leaning background or interest in exploring ML/AI and data/predictive modelling strategies Responsibilities: Design, build, and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL, and Delta LakeDevelop and optimise ETL/ELT processes to ingest, transform, and curate data from internal and external systemsShape enterprise data architecture, balancing scalability, performance, security, and maintainabilityPartner with stakeholders across Finance, Product, Sales, Marketing, and Engineering to turn business challenges into technical solutionsEmbed data quality, governance, and access controls throughout the data lifecycleMentor a junior engineer and help mature a growing data function Technologies: AIAWSCI/CDCloudDatabricksETLMarketingPythonPySparkSQLSecuritySpark More:
We are a UK HQ-based, fast-growing software business with 400+ staff globally, serving hundreds of enterprise customers worldwide. This is a remote role in the UK with very occasional visits to our London office. We offer a salary of up to £85,000 basic, plus a 10% bonus and an extensive benefits package. You will join a small, high-impact team at the heart of our data strategy, with real influence over data architecture and platform direction as we continue to build our Data Ops journey. Our benefits include health insurance, income protection, life assurance, subsidised gym membership, and 25 days holiday plus your birthday off.
last updated 37 week of 2026