11 of 11 Remote Contract Performance Optimisation Jobs

middleware More than 10 years experience programming in Java and ideally Go and Rust Expertise in JVM tuning and diagnostic for application troubleshooting and performance-optimization Expertise in distributed system design including microservices, Springboot Expertise in Docker, k8s, service mesh Expertise in Kafka, the incumbent should be able ...

technologies Full UK remote working Quick interview turnaround Ideal Candidate An engineer who thrives in low-level embedded environments, enjoys hardware interaction, debugging and performance optimisation, and has hands-on experience across SoC, drivers and high-speed communications. ...

Data Engineer with Active Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity … Excellent communication and collaboration skills Nice to have: Immediate availability Experience with enterprise-scale Databricks environments Knowledge of Azure Synapse, Power BI and cost optimisation strategies If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call ...

Data Engineer with Active Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity … Excellent communication and collaboration skills Nice to have: Immediate availability Experience with enterprise-scale Databricks environments Knowledge of Azure Synapse, Power BI and cost optimisation strategies If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call ...

Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business ...

development for civil engineering execution studies *You must have knowledge of object-oriented programming, C# Open API, and VBA *You must have skills in performance optimization and large scale data processing *You must have familiarity with 3D modelling libraries and tools (Tekla Structures) *You must have experience with GitLab ...

Leverage VMware tools (e.g., vSphere, vCenter, NSX) to optimize OpenShift deployments. o Configure and manage Pure Storage solutions (e.g., FlashArray, FlashBlade) to provide high-performance, scalable storage for OpenShift workloads. o Ensure compatibility and performance optimization between OpenShift , VMware, and Pure Storage. 4. CI/CD Pipelines ...

processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations, and performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven … decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy Effective chunking strategies for document ingestion and processing Experience with CockroachDB deployment and management is beneficial ...

processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations, and performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven … decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy Effective chunking strategies for document ingestion and processing Experience with CockroachDB deployment and management is beneficial ...

Warehouse patterns, Gold Layer modelling, defining/implementing ingestion + transformation pipelines (Dataflows Gen2, Notebooks), establishing modelling standards for Gold Layer + semantic models, performance optimization, lineage/observability, governance, RBAC, security, data retention. Team Leading/Delivery: setting standards, directing/mentoring the team, reviewing designs, unblocking delivery. … orchestration, testing, test data preparation, reporting validation, release practices. Operational Readiness: ensuring documentation/run books + non-functional requirements are met (security, resilience, performance). Short-Term Objective: baseline Gold Layer model components to enable consistent semantic models and reporting. ...

Warehouse patterns, Gold Layer modelling, defining/implementing ingestion + transformation pipelines (Dataflows Gen2, Notebooks), establishing modelling standards for Gold Layer + semantic models, performance optimization, lineage/observability, governance, RBAC, security, data retention. Team Leading/Delivery: setting standards, directing/mentoring the team, reviewing designs, unblocking delivery. … orchestration, testing, test data preparation, reporting validation, release practices. Operational Readiness: ensuring documentation/run books + non-functional requirements are met (security, resilience, performance). Short-Term Objective: baseline Gold Layer model components to enable consistent semantic models and reporting. ...