9 of 9 Performance Optimisation Jobs in the City of London

Business Analyst - Financial Banking Candidates will come from highly technical background with a track record of delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation and latency management along with Networking (TCP, UDP, multicast) and low latency data distribution. Ideally these skills will have been gained in a Low Latency Financial/… ability to learn in the role is a must. Essential Proven track record of specifying and delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in More ❯

robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're Looking More ❯

data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key More ❯

Engineer with strong expertise in designing and optimising large-scale data engineering solutions within the Databricks Data Intelligence Platform. This role is ideal for someone passionate about building high-performance data pipelines and ensuring robust data governance across modern cloud environments. Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch … and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure cost-efficient, high-performing workloads. Implement data quality, lineage tracking, and access control policies aligned with Databricks Unity Catalogue and governance best practices. Develop PySpark applications for ETL, data transformation, and … such as Azure Data Lake Storage, Key Vault, and Azure Functions. What We're Looking For Proven experience with Databricks, PySpark, and Delta Lake. Strong understanding of workflow orchestration, performance optimisation, and data governance. Hands-on experience with Azure cloud services. Ability to work in a fast-paced environment and deliver high-quality solutions. SC Cleared candidates If More ❯

mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing detailed user stories More ❯

have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing detailed user stories More ❯

zero-knowledge modules that enable trustless Bitcoin vaults and zk light-client operations. Lead the architecture and implementation of zkVM systems, including circuit design, data interfaces, proof pipelines, and performance optimization. Implement and enforce security best practices across zkVM programs. Requirements: Demonstrated expertise in Rust programming. Proven experience delivering zero-knowledge systems or infrastructure to production. Extensive practical experience More ❯

analysts. Plan and coordinate investor engagement activities, including roadshows and conferences. Oversee one or more stabilized assets, collaborating with FP\&A, Business Case, and cross-functional teams to establish performance baselines and challenge assumptions. Monitor monthly asset performance (rent roll, leasing strategy, P\&L, capex), lead execution of asset strategies, and track implementation plans. Partner with Finance, Procurement … certification preferred. Multiple years of experience in investor relations or capital markets, ideally with exposure to REITs or listed entities. Multiple years of experience in asset management or financial performance optimization, preferably in real estate or infrastructure. Multiple years of experience in a leadership role managing regional teams or cross-functional stakeholders. Proven experience in Finance or Investments, with … a strong background in performance management and analysis. Demonstrated expertise in commercial real estate infrastructure investment or asset management, ideally covering the entire asset life cycle. Solid understanding of real estate performance drivers and operations, ideally data centers Familiarity with machinery and equipment is advantageous for collaboration with operations teams. Strong analytical capabilities and ability to work independently More ❯

dedicated UX/UI designer, engaging in rapid daily iteration to translate high-fidelity, interactive prototypes into pixel-perfect, production-ready code. ? Real-Time Data Streaming: Engineer the high-performance live transcript view, which displays the AI-screened conversation as the phone is ringing . This involves consuming real-time streaming text data from our backend AI orchestration layer … via WebSockets. ? Mastering Perceived Performance: Implement the critical mid-call intervention feature, allowing a user to seamlessly accept a call from the AI agent. You will become an expert in designing for our < 1000ms V2V (voice-to-voice) latency budget, ensuring the entire UX flow feels fast and responsive. ? API & Backend Integration: Partner with our backend (Application & AI Orchestration … models required to power the Welcome Manager's features, from live transcription to post-call entity-extracted summaries. ? MWC Demo Ownership: Be directly responsible for the polish, stability, and performance of the Welcome Manager application for its critical debut at MWC 2026. ? Cross-Functional Partnership: Collaborate closely with the other Senior Android Engineer (who owns the native CallScreeningService and More ❯