3 of 3 Performance Tuning Jobs in Yorkshire

expertise to support the modernisation and optimisation of enterprise data platforms. The successful candidate will work on migrating and improving data pipelines, enhancing processing performance, implementing automated data quality checks, and safely retiring redundant workloads. The role requires strong Python, PySpark and SQL skills, alongside practical experience delivering reliable … data, deletes, backfills and safe reruns while preserving business logic. Ensure data processing remains accurate, reliable and maintainable throughout migration and modernisation activities. Databricks Performance and Cost Optimisation Investigate slow-running or expensive workloads using Spark UI, query plans and job metrics. Optimise joins, partitioning, data skew, shuffles, file ...

architecture, data engineering, and product teams to convert operational problems into reusable graph-powered capabilities. Own technical design reviews, coding standards, model validation, observability, performance tuning, security controls, documentation, and production-readiness gates. Mentor data scientists and engineers while remaining accountable for prototypes, reference implementations, critical code, troubleshooting … Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules ...

business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation. You will be responsible for developing conceptual, logical and physical data models, defining source-to-target mappings, and supporting the implementation … will ensure data architecture aligns with enterprise standards, governance frameworks and best practices. You will also drive improvements to existing data architecture, optimise data performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management ...