101 to 125 of 484 Performance Tuning Jobs in the UK

seeking a highly skilled and experienced Java Developer to lead the design, development, and delivery of scalable, secure, and high-performance enterprise applications. The ideal candidate will possess deep expertise in Java and Spring Boot, strong architectural knowledge, and proven experience leading development teams in delivering large-scale digital … high-performing Back End services. Integrate with internal and external systems through APIs, messaging platforms, and event-driven architectures. Ensure compliance with security, performance, and reliability requirements. Architecture & Design Participate in system architecture, technical design discussions, and solution planning. Drive cloud-native development practices and modernization initiatives. Identify ...

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 ...

direction.Job 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 … 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 ...

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 ...

collaborate closely with stakeholders including Ratings, Business, and Operation teams to deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivityHow You’ll Make an Impact: Lead … high-quality software delivery through automated testing, code reviews, observability, and engineering governance. Lead resolution of complex technical and operational challenges while improving platform performance, resiliency, and operational excellence. Champion DevSecOps, CI/CD, and automation practices to accelerate delivery and improve engineering efficiency. Evaluate and adopt emerging technologies ...

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 ...

transformations to produce curated datasets that support enterprise reporting, analytics, and downstream consumption.Take ownership of assigned data pipelines and datasets, including monitoring, troubleshooting, and performance optimization in production environments.Work with Azure Synapse (dedicated or serverless where applicable) to support analytical workloads and data consumption patterns.Collaborate with business analysts … views and tables in Azure Synapse to support analytics and reporting use cases.Respond to pipeline failures, data validation issues, and operational alerts.Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards.Validate data outputs with business partners and address data defects ...

scaling to support the growth of the company. This role requires in-depth knowledge of distributed storage systems, storage architectures, and storage protocols, including performance optimization, capacity planning, and data lifecycle management. The candidate will ideally have experience with on-premises storage infrastructure, network-attached storage, parallel file systems … object storage, and cloud-based storage platforms. Your day-to-day could consist of storage infrastructure design and deployment, performance tuning and troubleshooting, monitoring and alerting improvements, capacity management, automation and tool development, and much more. Main Duties & Responsibilities Design, deploy, and manage distributed storage systems efficiently ...

build solutions and break down complex technical problems.Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability.Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review … Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL.Provide technical support during software development, including debugging environment-specific issues and partnering with development teams to resolve them. Maintain ...

build solutions and break down complex technical problems. Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted … Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL. Provide technical support during software development, including debugging environment-specific issues and partnering with development teams to resolve them. ...

ensuring alignment to customer business objectives. . Snowflake Architecture: Design and optimise Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning … strategic asset and enabling data-driven decision making. Ability to mentor engineers and architects while contributing to technical leadership within delivery teams. Experience balancing performance, security, scalability, and cost optimisation within cloud data platforms. #J-18808-Ljbffr ...

leading or mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise: Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.Strong SQL and Python (or equivalent language) skills for data ...

data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/ ...

data management, ETL/ELT pipeline development, and large-scale data processing.Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar).Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.).Strong ...

Role Overview We are seeking a highly skilled and experienced Java Developer to lead the design, development, and delivery of scalable, secure, and high-performance enterprise applications. The ideal candidate will possess deep expertise in Java and Spring Boot, strong architectural knowledge, and proven experience leading development teams … high-performing Back End services. Integrate with internal and external systems through APIs, messaging platforms, and event-driven architectures. Ensure compliance with security, performance, and reliability requirements. Architecture & Design Participate in system architecture, technical design discussions, and solution planning. Drive cloud-native development practices and modernization initiatives. Identify ...

platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing. This metadata-forward, CI/CD-driven platform represents and enables the entire … Basic Qualifications: Bachelor's degree in data engineering, Computer Science, Software Engineering or related discipline Experience with Python Experience with Cloud Experience with High Performance Compute (HPC) Preferred Qualifications: Deep knowledge and use of at least one common programming language: e.g., Python, C++, Java, including toolchains for documentation, testing ...

Database Administrator to support and enhance enterprise database platforms and Oracle APEX application environments. This role will be responsible for the design, administration, performance optimization, and lifecycle management of Oracle databases and APEX/ORDS platforms supporting critical business applications.The successful candidate will work closely with DBA, middleware … application teams to ensure high availability, performance, and security of systems across development, QA, and production environments.Key ResponsibilitiesOracle Database AdministrationManage and maintain Oracle databases (19c and newer) across multiple environmentsPerform database installations, upgrades, patching, and migrationsImplement backup/recovery strategies and disaster recovery solutionsMonitor database performance and tune ...

hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will own data architecture across … framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance tuning of high-impact production queries. Driving the in-flight ETL replatform replacing legacy SSIS jobs with a table-driven, parallel ...

software and systems to manage platform infrastructure and applicationsImprove reliability, quality, and time-to-market of our suite of software solutionsMeasure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improveProvide primary operational support and engineering … multiple large distributed software applicationsHow will you make an impact Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault findingPartner with development teams to improve services through rigorous testing and release proceduresParticipate in system design consulting, platform management, and capacity ...

variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)Write advanced/complex SQL with performance tuning and optimizationBuild AI based solutions for solving business needs, process automations and improving operational efficiencyIdentify ways to improve data reliability, data integrity, system … Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus2+ years of experience in SQL with designing complex data schemas and query performance optimizationExperience building LLM integrations for workflow automation/business needs.Experience with DevOps automation with Terraform.Experience with CI/CD process and tools – GitHub Actions ...

United Kingdom (GB).Key Responsibilities• Design, optimize, and maintain scalable Databricks pipelines (ETL, streaming, ML workflows).• Perform cluster and job performance tuning: optimize cluster sizing, caching, partitioning, and shuffle management.• Monitor Spark job metrics, analyze logs, and identify bottlenecks in data throughput or latency.• Implement cost-optimization … autoscaling and job consolidation.• Ensure efficient scheduling and orchestration of jobs using Databricks Workflows• Collaborate with data scientists and platform teams to improve query performance on Delta Lake.• Develop automated monitoring and alerting mechanisms using Databricks REST APIs, Prometheus, or Azure Monitor.• Maintain best practices for data engineering performance ...

systems (Azure SQL/PostgreSQL/related platforms).Automate operational tasks using Bash scripting and other scripting tools.Administer and maintain Linux-based environments.Monitor system performance, reliability, and costs; implement improvements and optimizations.Ensure security, compliance, and governance across all Azure resources.Work with development and data engineering teams to enable DevOps … + networking + security)Experience with data-centric platforms: Azure Databricks, Azure Event Hubs, Azure Storage (ADLS Gen2/Blob)Proficiency in SQL (querying, performance tuning, data workflows)Strong Python and Bash scripting skillsSolid experience with Linux system administrationExposure to containerization (Docker, Kubernetes)Knowledge of security best practices ...

access controls, row‐level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake‐native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate … Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS 239, MDM AI/ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost‐based tuning Data Landscape The Data Architect will work across the following technology landscape. Candidates ...

architecture reviews, technology evaluations, and platform transformation initiatives.Establish governance, security, resilience, scalability, and cost-optimization frameworks.Lead Snowflake architecture covering security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy.Define enterprise data platform standards and operational best practices.Guide warehouse sizing, workload management, performance tuning, and cost optimization.Design ...

technology evaluations, and platform transformation initiatives. Establish governance, security, resilience, scalability, and cost‐optimization frameworks. Lead Snowflake architecture covering security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning ...