Top Tech Jobs & Startup Jobs in London

Lead the technical direction and delivery of a scalable, multi-tenant data integration platform on GCP. Design and oversee Airflow ETL pipelines, cloud architecture, CI/CD, infrastructure automation, data lineage, observability, reliability, and data quality controls. Partner with stakeholders, lead agile planning, establish engineering standards, contribute hands-on to critical platform work, and mentor engineers while improving integration delivery, operational resilience, and recovery performance.

Design and implement scalable Salesforce solutions, translate business requirements into technical designs, present solutions to stakeholders, lead technical discussions, mentor developers, review user stories and code, participate in Agile ceremonies, and enforce Salesforce coding, governance, and deployment standards.

Build and support data pipelines, data assets, integrations, and models for enterprise analytics. Manage datasets for feature engineering, APIs, and ingestion; implement ETL across platforms; create reusable real-time and analytical data assets; and establish data quality monitoring and alerting. Collaborate with data scientists, data wranglers, and technical teams, with preferred hands-on GCP experience.

Provide onsite and remote desktop support in London, troubleshooting hardware, software, network, application, and access issues. Install, configure, deploy, maintain, and track devices and peripherals. Manage incidents and service requests within SLA targets, document resolutions, support users, coordinate escalations and vendors, and maintain security, compliance, asset, and service records.

Designs, implements, administers, and improves DevOps tooling and Azure infrastructure, with an initial focus on artifact management and repository modernization. Responsibilities include CI/CD tool administration, Kubernetes and Helm operations, infrastructure sizing, security improvements, monitoring, troubleshooting, migrations, automation, vulnerability management, and outage remediation. The role also evaluates requirements, configures build automation, supports high availability, and collaborates across global technology teams.

Define, architect, and lead delivery of machine learning and AI solutions. Support exploratory data analysis, proofs of concept, and the end-to-end data science lifecycle. Translate business problems into analytical and modeling solutions, communicate findings to technical and non-technical stakeholders, and provide specialist model delivery support. Design, develop, test, implement, and monitor models while tracking advances in data science and advising leadership on competitive capabilities.

Create Figma designs for five business-facing Store Allocation Suite applications, supporting an MVP and future capability development. Redesign existing systems using modern design best practices, develop reusable components with engineers, use Figma Make to accelerate delivery and handoff, and incorporate business feedback and change requests.

Performs business-focused data analysis, SQL reporting, dashboard development, root cause investigations, data profiling, and proof-of-concept analytics. Partners with stakeholders, customers, BI, data engineering, and product teams to translate business needs into technical solutions. Uses Azure data platform technologies, Python, and Power BI to develop insights, improve reporting, support data governance, and influence data-driven decisions.

Serves as the onsite Oracle HCM functional consultant and client-facing SME for Core HR and Absence Management. Responsibilities include requirements gathering, fit-gap analysis, configuration of workforce structures and absence processes, solution documentation, testing, demonstrations, data migration validation, quarterly release support, post-go-live issue resolution, and HR process improvement.

Leads multidisciplinary engineering squads delivering large-scale banking technology programs. Responsibilities include setting engineering strategy, guiding cloud-native and microservices architecture, owning end-to-end delivery, enforcing quality and security standards, driving DevOps and operational excellence, managing stakeholders and risks, and developing distributed engineering teams. The role also oversees governance, release readiness, technical debt reduction, platform modernization, regulatory compliance, and production stability across strategic banking initiatives.