3 of 3 Performance Tuning Jobs in Dorset

time on site with one of the industry's leading defence and security companies. Key Responsibilities: Developing, maintaining, and supporting Oracle databases Ensuring high performance, availability, and security of the Oracle databases Designing database solutions that meet the business requirements for both new projects and existing systems Conducting database … performance tuning and optimisation Implementing database backup and recovery strategies Collaborating with internal teams and external stakeholders to ensure effective database solutions Providing support for database-related issues and troubleshooting any problems that arise Maintaining comprehensive database documentation and ensuring adherence to security protocols and standards Job Requirements ...

stakeholders to deliver payment initiation capabilities aligned to business objectives and risk expectations.Champions engineering excellence through code quality, automated testing, CI/CD, observability, performance engineering, chaos/resilience testing, and secure software development practices.Leads communities of practice across Software Engineering to drive awareness and adoption of modern engineering … operational stability for complex production systems.Advanced proficiency in one or more programming languages, preferably Java, with strong understanding of object-oriented design, concurrency, performance tuning, and secure coding practices.Strong experience designing and operating distributed systems in high-scale, low-latency, business-critical environments.Practical experience with event-driven architecture ...

using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency. Build and maintain curated data models (bronze/silver/gold), data quality checks, and automated testing. Implement CI/… storage (S3/ADLS/GCS). Solid understanding of data engineering fundamentals: data modeling, ETL/ELT patterns, reliability, observability, and performance tuning. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability ...