11 of 11 Permanent Data Pipeline Jobs in the City of London

party customers. Job Summary We are looking for experienced Data Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will … form part of the Enterprise Data Platform team (NOVA) responsible for delivering on the product roadmap and enhancing automation practices. As a part of a Nova team, you will be working at every stage of a product lifecycle from conception, design, data engineering, testing and through ...

days onsite, London) Position Type: Permanent Salary: £50,000 - £60,000 per annum + Benefits Experience Required: 6-8 years in Data Integration/ETL About the Role Are you a seasoned Data Integration specialist with deep expertise in cloud ecosystems? We are seeking a Senior … modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely with Solution Architects and Business Analysts to translate complex requirements into technical realities, ensuring ...

reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors, and retrains them. … lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines for ML (training validation deployment) Implementing model monitoring (data drift, prediction drift, performance decay) Managing experiment tracking and reproducibility Data engineering foundations Building and maintaining batch and nearreal-time data ...

deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems … storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft ...

least 5 years in technical leadership roles. Strong experience in Azure cloud architecture and enterprise application delivery. Experience working with Dataiku for analytics, data pipelines, or AI/ML-driven applications. Strong knowledge of .NET/ASP.NET Core architecture and enterprise integrations. Experience with financial services, treasury, derivatives … risk management platforms. Understanding of derivative valuation concepts, yield curves, curve validation, or market data processing. Experience with APIs, microservices, DevOps, and CI/CD pipelines. Strong stakeholder management and client-facing communication skills. Experience managing distributed/global teams. Preferred Skills Exposure to market risk or quantitative ...

discovery conversations with prospects and customers, uncovering KPIs, strategic initiatives, technical pain points, and integration requirements. Answer technical questions on implementation, security architecture, data delivery, API integrations, and compliance standards with authority. Act as the core technical liaison between customers, Sales, Product, and Engineering - translating business requirements into … security questionnaires, and architecture discussions. Lead proof-of-concept scoping and technical evaluations. Build deep expertise across the Vixio platform, API integrations, webhooks, data pipelines, and the Regulatory Knowledge Graph. Maintain clear understanding of global compliance frameworks, GRC workflows, and how regulations vary across jurisdictions and verticals (Payments ...

Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support. Translate risk advisory/consulting needs into clear technical requirements, user stories … solution designs; partner with stakeholders through UAT and rollout. Own the backend and integration approach (APIs, data flows, security, RBAC), and ensure solutions are scalable, maintainable, and well documented Provide technical leadership for a distributed team (London + India): sprint planning input, code reviews, mentoring, and raising engineering ...

complex multi-platform environment. Reporting directly to the CEO, you will act as the organisation's trusted technical voice, connecting systems, improving data integrity, strengthening vendor accountability, and helping create a scalable technology foundation for future growth. This is a hands-on role suited to someone who enjoys … build, test, and support integrations across Microsoft Dynamics CRM, Business Central, SaaS platforms, and other business systems. Develop and maintain API-based integrations, data pipelines, webhooks, and automated workflows. Troubleshoot integration issues, data discrepancies, and system connectivity challenges. Support platform upgrades, system enhancements, and data ...

arisen for an experienced KDB Developer to work alongside their Quants and Traders. This is an exciting opportunity to take ownership of critical data and analytics capabilities in a business where your work will directly support front-office decision-making, research, and platform performance. In addition … months. THE ROLE: KDB Developer This position sits within a small, highly capable team focused on building, improving and supporting the firms data environment. The successful candidate will play a key role in designing and developing scalable data collection and analytics solutions, while helping ensure ...

client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge … Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices ...

reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors, and retrains them ...