5 of 5 Performance Tuning Jobs in Leeds

warehousing solutions Act as a hands-on engineer on complex or high-risk components where required Define and promote best practices for data quality, performance, security and governance Collaborate closely with clients and stakeholders to shape data strategies and solutions Ensure data platforms meet non-functional requirements such … cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep ...

Responsibilities: Data platform ownership: Lead the design, operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS. ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core … functions, temp tables, CTEs, query optimisation; confident with advanced SSMS query writing. Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance). ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ...

your own career as the business scales. Responsibilities: Design, build, and deliver scalable cloud-based data platforms and data engineering solutions. Develop robust, high-performance data pipelines and modern ETL/ELT frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build … closely with software engineers, architects, and product teams to deliver complex technical solutions. Design and implement data models and storage solutions that support high-performance analytics and operational workloads. Optimise data platform performance, reliability, and scalability. Champion engineering best practices across code quality, automation, testing, security ...

distributed data platforms that power Flutter’s applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery – building scalable, high‐performance data platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge … communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations. Ensure operational excellence – design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind. Contribute to architecture governance – support architecture forums and governance processes, ensuring timely review and alignment across Flutter. Requirements ...

platforms, and warehousing solutions. Take a hands on approach on complex or high risk engineering components. Define and promote best practices for data quality, performance, governance, and security. Collaborate with clients, product managers, analysts, and software engineers to translate business needs into data solutions. Ensure data platforms meet … data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency in Python, Scala, or Java for data processing. Deep understanding ...