2 of 2 Permanent Data Quality Jobs in Basingstoke

Lead Data Engineer- £70,000 Industry: Banking and Financial Services Location : Flexible- Basingstoke (3 Days a Week) Overview of Role: This role will lead the design and optimisation of our Azure Databricks data platform , ensuring it is secure, scalable, and well governed. You'll take ownership of change controls, lineage, and documentation while driving adoption of best practice. … Alongside this, you'll support AI/ML initiatives and provide technical guidance to colleagues, driving value from data. Key Responsibilities Lead the roadmap for data engineering, ensuring alignment with business needs and regulatory requirements. Own the design and optimisation of the Azure Databricks platform, focusing on performance, resilience, and compliance. Implement change controls, lineage, and observability to detect … and resolve issues. Maintain clear documentation of data pipelines, models, and governance processes. Implement tools to improve data quality, efficiency, and adoption. Support AI/ML delivery by building/optimising, ensuring platform readiness. Manage SQL workloads within Databricks, balancing cost and performance Ensure access controls, GDPR compliance, and security standards Work with other stakeholders on system More ❯

Job Title: Lead Data Engineer Industry: Banking and Financial Services Location : Flexible- Basingstoke (3 Days a Week) Overview of Role: This role will lead the design and optimisation of our Azure Databricks data platform , ensuring it is secure, scalable, and well governed. You'll take ownership of change controls, lineage, and documentation while driving adoption of best practice. … Alongside this, you'll support AI/ML initiatives and provide technical guidance to colleagues, driving value from data. Key Responsibilities Lead the roadmap for data engineering, ensuring alignment with business needs and regulatory requirements. Own the design and optimisation of the Azure Databricks platform, focusing on performance, resilience, and compliance. Implement change controls, lineage, and observability to detect … and resolve issues. Maintain clear documentation of data pipelines, models, and governance processes. Implement tools to improve data quality, efficiency, and adoption. Support AI/ML delivery by building/optimising, ensuring platform readiness. Manage SQL workloads within Databricks, balancing cost and performance Ensure access controls, GDPR compliance, and security standards Work with other stakeholders on system More ❯