51 to 58 of 58 Data Lake Jobs in Slough

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a “can-do” mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management – Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets – Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯

infrastructure and cloud with an eye for architecture as their business is evolving at speed. You will also be comfortable working in a financial regulated environment, Summary: Cloud, data, platform and cybersecurity experience in end to end systems As a Hands-on Leader, you will balance IT strategy with roll-up-your-sleeves delivery in a lean, agile … that aligns with business outcomes, driving requirements and collaborating across all teams. IT vendor management, offshore 3rd party experience IT governance and controls Technical Expertise includes: Azure, Reporting Data lakes and data analytics tooling (Power BI or similar), SQL databases, GDPR, and bridging the technical-actuarial gap. Delivery Expertise includes: ability to execute end-to-end … projects, either in-house or from consultancy engagement, with strong stakeholder collaboration. Requirements: Strong technical credentials in Azure, data architecture, and reporting Proven end-to-end delivery experience, ideally in Financial Services or consultancy Ability to bridge the gap between technical teams and Actuaries Hands-on leadership style, able to operate autonomously and collaboratively Right cultural fit: innovative More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

The Client Tempest Vane Partners has partnered with a globally recognised investment firm where data and technology sit at the centre of every decision. The firm’s Core Data Platform group builds and maintains the essential systems, services, and APIs that enable researchers, engineers, and investment teams to access and analyse data at scale. … ll join a small, highly capable team operating in a cloud-native, Kubernetes environment, combining open-source tools and modern engineering practices to create a unified, next-generation data platform. What You’ll Get A key engineering role within a world-class technology organisation that values innovation and impact. Exposure to a modern data ecosystem including … are trusted to take ownership and drive outcomes. Excellent compensation package with strong performance incentives. What You’ll Do Design, develop, and maintain high-performance APIs and core data service s used across the firm. Work closely with fellow engineers, analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

of Operations – Algorithmic Trading Location: London (quant-driven electronic market maker) Overview: A senior strategic leadership role at a leading quantitative trading firm that uses machine learning and data-driven intelligence to provide liquidity across global financial markets. The firm values strategic thinking, resilience, and innovation over speed alone — focusing on smarter, predictive trading systems. Purpose of the … predictive analytics , and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: Linux-first environment on AWS . Core languages: C++ , Java , Python . Large-scale data lakes and HTML5 front ends. Why Join: Shape the firm’s operational strategy with real ownership and autonomy. High-impact role with direct exposure to the executive team. Clear More ❯

Technical Architect (Azure Focus) Up to £80,000 + Bonus Slough (2 days per week onsite) We’re seeking an experienced Technical Architect to drive cloud and data platform architecture for high-impact projects. This role blends strategic thinking, hands-on delivery, and leadership across stakeholders, helping shape enterprise cloud solutions in Azure and hybrid environments. What You … ll Do: Lead the design and implementation of enterprise-grade Azure cloud solutions, including Data Lakes, Synapse, DevOps pipelines, and analytics platforms. Define high- and low-level architecture, building secure, resilient, and cost-efficient solutions. Work with stakeholders across IT, security, and business teams to ensure alignment with organizational goals. Embed governance, security, and DevSecOps practices into cloud … and data platforms. Mentor engineers and support delivery of CI/CD pipelines, Infrastructure-as-Code (Terraform, ARM, Bicep), and automation frameworks. What We’re Looking For: Proven experience architecting Azure cloud solutions for complex, enterprise environments. Strong understanding of cloud governance, security (Zero Trust, DevSecOps), and compliance frameworks. Hands-on experience with Data Lakes, analytics More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯