76 to 100 of 640 Performance Tuning Jobs in the UK

Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling. Knowledge of Microsoft SQL Server administration and query performance tuning. Familiarity with core cloud concepts: subscriptions, resource groups, IAM.Knowledge of the commodities front office domain e.g. financial and physical instruments, market data prices. ...

efficient server-side applications. The ideal candidate should have experience in microservices architecture, API development, database management, and frontend ensuring high availability and performance of backend and frontend services. In this role, you will collaborate closely with frontend engineers, product managers, and other stakeholders to build robust backend solutions … that power our applications. A strong focus on Separation of Concerns (SoC), security best practices, and performance optimization is crucial for success in this position. Your key responsibilities: Integrate models into backend systems and create API endpoints for model interaction (e.g., retrieving predictions). Develop and maintain scalable services ...

possess strong hands-on experience in WebMethods Integration Server, Flow Services, File Processing, Java Full Stack development, Microservices Architecture, AWS Cloud Services, and Database Performance Tuning. Candidates with strong WebMethods integration experience along with Java Full Stack skills will be preferred. Key Responsibilities Design, develop, and support enterprise integration … Full Stack technologies. Develop REST APIs and Microservices using Spring Boot. Design and implement cloud-native solutions on AWS. Perform database query optimization and performance tuning. Work on ETL/Data Processing solutions using Apache Flink. Integrate enterprise applications, databases, and third-party systems. Participate in application architecture discussions ...

PostgreSQL databases hosted on the AWS Cloud platform. The successful candidate will collaborate with cross-functional teams to ensure database reliability, availability, and performance, while also contributing to the overall architecture and strategy of our cloud‐based database solution. 1. Database Design and Architecture: Collaborate with software engineers, DevOps … instance sizing, storage, and security. Implement and manage replication, clustering, and backup/recovery strategies to ensure high availability and disaster recovery. 3. Performance Monitoring and Optimization: Monitor database performance, proactively identifying and resolving performance bottlenecks, slow queries, and other issues affecting system responsiveness. Tune database parameters ...

manage these aspects while taking responsibility for multiple cloud infrastructure services. Observability of systems will be key to prioritising the operational service improvements and performance improvements to meet and exceed SLOs (Service Level Objectives). Main duties of the job Working with the HPC & SRE Team to: Ensure services … streamline tasks, reduce overhead on repeatable operations, reduce manual intervention and improve efficiency. Write code that is maintainable, clear, and concise Optimise system performance using strong problem-solving skills to identify bottlenecks with an engineering mindset Ensure systems can handle current and future workloads through automation and capacity planning ...

ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g., Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. Build … observability into optimisation services (KPIs, logs, traces) and manage performance tuning (latency, throughput, cost) across environments. Contribute hands‐on when needed (prototyping, critical‐path coding, reviews), while primarily enabling the team to deliver consistently. Required qualifications Proven experience leading a software engineering team delivering production‐grade systems (people ...

graph platforms/database engineering)Role OverviewWe are seeking a Neo4j Platform Engineer to build and manage the Neo4j infrastructure layer, ensuring high availability, performance, and secure access to enterprise knowledge graphs. This role is responsible for cluster configuration, performance tuning, and access control, enabling scalable … backup, restore, and disaster recovery processesPerformance OptimizationTune and optimize Cypher queries for production workloadsOptimize graph traversal patterns for Graph RAG use casesIdentify and resolve performance bottlenecks in large-scale graph environmentsBenchmarking & ScalabilityDesign and execute query performance benchmarks at scaleMonitor system performance and ensure high throughput ...

visualisations that enable data-driven decision making. Develop and maintain semantic models, datasets, dataflows and Power BI workspaces. Implement best practices for report performance, usability, security and governance. Develop advanced DAX calculations, measures and KPIs. Optimise report and dataset performance, ensuring reliability and scalability Wider Fabric Knowledge would … Experience designing and implementing dimensional models Experience gathering requirements and producing technical documentation Experience working directly with business stakeholders and clients Experience troubleshooting and performance tuning reporting and database solutions Experience using source control systems such as Git and Azure DevOps Desirable Experience with Azure Data Services Experience ...

ability to lead multiple projects simultaneously, delivering to deadlines Expert-level experience with MSSQL, Oracle and Sybase database environments, including complex query-writing and performance tuning A natural leader who relishes the prospect of supporting an expanding business and driving continuous improvement in support functions Motivated self-starter … scope for growth. And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond ...

remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort … from scratch Nice‐to‐haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role ...

SYSTEMS DEVELOPER – High Performance Trading InfrastructureLondon – Hybrid100,000-150,000 + bonusQuant Capital is recruiting on behalf of a leading global quant investment firm seeking a Systems Developer to join its high-impact technology group in London. This role is part of a core engineering team focused on building … maintaining the backbone infrastructure supporting high-performance trading and large-scale research. In this hands-on role, you will gain significant exposure to distributed systems, high-throughput computing, and low-latency infrastructure. You'll work on complex technical challenges that directly influence the firm's ability to process data ...

Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step ...

ability to lead multiple projects simultaneously, delivering to deadlines* Expert-level experience with MSSQL, Oracle and Sybase database environments, including complex query-writing and performance tuning* A natural leader who relishes the prospect of supporting an expanding business and driving continuous improvement in support functions* Motivated self-starter ...

data collection, deep market expertise, and continuously evolving methodologies. Its data and technology underpin how investors raise capital, evaluate opportunities, monitor portfolios, and assess performance at scale. About Company Intelligence Company Intelligence is Preqins private company data platform, providing structured, auditable company-level data and analytics across the private … markets investment lifecycle. It integrates company, deal, and ownership data with fund, manager, and performance information to deliver a connected view of private capital activity. Built on granular data and robust methodologies, Company Intelligence supports scalable analysis across deal sourcing, due diligence, valuation benchmarking, and comparative research. By increasing ...

onsite in Glasgow Key Responsibilities Design, develop, and maintain scalable data pipelines to support data integration, transformation, and analytics requirements. Write efficient, high-performance SQL queries, stored procedures, and data transformation logic. Build and maintain backend data processing applications using Java. Develop scalable APIs and microservices architectures. Work with … batch and near real-time data processing frameworks to deliver reliable data solutions. Optimise data models, database performance, and query execution. Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions. Implement automated testing, monitoring, and data quality controls across the data platform. Essential ...

design, build, and optimisation of data architectures, models, warehouses, and data lake solutions that support reporting, analytics, and AI initiatives. Ensure solutions meet performance, scalability, and reliability standards across legacy and modern cloud platforms. Monitor and tune system, pipeline, and query performance. Continuously refine pipelines to enhance efficiency, reduce … control (Git) and the DevOps methodology. Ability to design, maintain, and optimise scalable ETL/ELT pipelines. Ability to troubleshoot complex data issues, monitor performance, and implement automated solutions. Strong analytical and problem-solving capabilities with an emphasis on performance tuning and scalability. Please apply as directed ...

multiple product lifecycle environments, from development to mission-critical production systems. Configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security. Database performance tuning. Planning, deploying, maintaining, troubleshooting of high-availability database environments (RAC. … Qualifications 8+ years on Oracle 12.x/Above versions in database administration, in an enterprise environment with multiple database servers is required. Experience with Performance Tuning and Optimization (PTO), using native monitoring and troubleshooting tools Experience with backups, restores and recovery models Experience with database administration Experience with ...

advanced analytics and AI-powered applications across fintech, healthcare, and digital services. Задачи Design and build SQL databases from scratch for scalability, reliability, and performance Optimise and maintain existing database systems to improve query performance and efficiency Architect, implement, and manage cloud-based databases and data solutions … Proficiency in Python for data processing and basic machine learning workflows Solid understanding of data modelling, ETL processes, and data architecture principles Experience with performance tuning and query optimisation Strong problem-solving skills and attention to detail Nice to have: experience with big data tools or distributed data ...

Synapse Analytics. Manage and enhance data lakes, data warehouses, and data storage solutions. Develop and optimize SQL queries, data models, and database objects for performance and scalability. Ensure data quality, security, governance, and compliance with organizational standards. Implement CI/CD practices and support deployment automation using Azure DevOps. … Databricks. Azure Synapse Analytics. Azure Data Lake Storage (ADLS). Azure SQL Database and SQL Server. Microsoft Fabric (preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge of data warehousing concepts and dimensional modelling. Experience with CI/ ...

operational readiness; Use infrastructure as code and configuration management tools such as Terraform, Chef, or Ansible to drive consistency and repeatability; Troubleshoot complex deployment, performance, networking, and infrastructure issues, preventing recurring manual fixes through automation; Use AI-assisted engineering tools to accelerate development, automation, troubleshooting, documentation, and operational workflows … communication skills and the ability to drive issues to resolution with technical and non-technical stakeholders; Linux/Unix administration, operational support, troubleshooting, and performance tuning experience; Scripting or programming experience in Python, Bash, or similar; CI/CD pipeline experience with Jenkins, GitLab, or similar; Experience with ...

e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals. Integrate with AI pipelines and model … with event-driven architectures. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git-based workflows. Experience with API versioning, security, documentation strategies, and automated testing. Strong ...

e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals. Integrate with AI pipelines and model … with event-driven architectures. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git-based workflows. Experience with API versioning, security, documentation strategies, and automated testing. Strong ...

responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics … using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform componentsContainerize and deploy services using Docker and Kubernetes ...

layers, bespoke extensions, integrations, batch services, reporting and downstream data products. Define technical standards for configuration versus customisation, extension patterns, environment topology, supportability, resilience, performance, observability, security and data privacy. Govern enterprise versus local design decisions, ensuring justified country-specific requirements are accommodated without creating uncontrolled divergence or unnecessary … including controlled transition from legacy AX/NAV estates to BC and/or F&O where this is the approved target architecture. Operations, Performance & Problem Management Own ERP operational health and service targets, using application telemetry, SQL/database diagnostics, batch monitoring, integration logs and platform monitoring ...

Описание McKinsey & Company develops Wave, a SaaS product that helps clients manage improvement programs and transformations by tracking initiative progress, performance, budgets, timelines, and impact on longer-term goals. Its Transformatics team builds data and AI products that provide analytics insights for clients and McKinsey teams involved in transformation … rapid business data access and emerging technology incubation Design and develop scalable, reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers, and business teams to deliver analytics-ready ...