851 to 860 of 860 Data Engineering Jobs in England

private and institutional clients. There is a wide focus on the tech team who service a huge range of clients and over 500 staff in London. Including Software Development; Data Engineering; Infrastructure; DevOps and Automation & Service Delivery. The role is a Manager role with direct line management duties and this experience and coming from wealth or asset management More ❯

private and institutional clients. There is a wide focus on the tech team who service a huge range of clients and over 500 staff in London. Including Software Development; Data Engineering; Infrastructure; DevOps and Automation & Service Delivery. The role is a Manager role with direct line management duties and this experience and coming from wealth or asset management More ❯

Spotfire Lead Consultant (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and optimize data models … for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in Spotfire (including architecture, scripting … and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data More ❯

automated reports, proactive alerts, and light what-if planning directly in the dashboard. Ensure accuracy, clarity, and guardrails (source attribution, documented assumptions, and human review for sensitive outputs). Data & Integrations Integrate logistics event data, CRM/client data, and core commercial signals to present one coherent story. Define and maintain metric definitions, data contracts, freshness … SMB-Facing Differentiation Identify and deliver a small set of AI-powered self-serve features for SMBs (e.g., shipment-health snapshots, plain-language explanations, basic forecasts) while maintaining internal data security and access controls. Facilitate integration of these features into our SMB platform in partnership with Product & Technology teams. Qualifications 8-12+ years leading analytics products used by … Operations and/or Client teams. Proven track record delivering trusted BI (dashboards, scheduled reporting, metric governance) and embedded AI features that teams use. Strong data fluency: modeling, definitions, SLAs, documentation; comfortable partnering with Data Engineering. Clear communicator who turns data into simple narratives and actions; excellent stakeholder management across Operations, Account/Sales, Finance, Product, and More ❯

world-class platforms. We’re looking for a Lead Forward Deployed Engineer (Palantir) to guide a high-performing team delivering enterprise-scale Foundry solutions. You’ll design and implement data-driven capabilities that enhance strategic and operational decision-making. Key Skills & Experience: Proven experience leading Palantir Foundry or GAIA programmes Strong background in data engineering, architecture, and More ❯

Description We are looking for a Technical Product Manager to join our growing engineering organization (headquartered in Reigate, ~300 engineers) developing a wide range of market leading InsurTech solutions. You will join us at an exciting time as we focus increasingly on cloud/SaaS solutions, upgrading existing products to new technologies and modern UX, as well as developing … Technical Product Manager, you will be involved in the definition and development of work items within a specific Product Stack, working with senior stakeholders such as other Product Managers, Engineering Managers and Architects, to define and prioritise a backlog of user stories to be implemented by one or two scrum teams. The Role Work with the wider Product Management … internal end-users) and members of the scrum team(s) to translate this roadmap into a user-story backlog which can be consumed and implemented by one or two engineering teams, Ensure the backlog is in a "clean" state at all times, maintaining a clear epic/feature/story hierarchy, triaging new requirements/defects efficiently, and appropriately More ❯

Software Engineering Manager/Software Team Lead Hybrid – Manchester We're working with a rapidly growing company seeking a hands-off Software Engineering Leader to guide and inspire a talented, multi-skilled engineering team. This is a fantastic opportunity to lead from the front, not by coding, but by setting vision, driving delivery, and fostering a high … performance engineering culture. You’ll be responsible for leading a team of exceptional engineers building slick, scalable digital consumer products using modern and complex technology stacks. The systems need to be resilient, high-performing, and elegant, supporting both customers and internal teams alike. What You’ll Be Doing: Leading a high-calibre team of senior software engineers. Driving delivery … best practices, and engineering excellence. Championing modern development practices: TDD, automation, CI/CD, DevOps, and scalable architecture. Supporting the team’s growth, both technically and professionally. Influencing wider tech direction and fostering a strong engineering culture. What We’re Looking For: Proven experience in leading high-performing engineering teams. Solid technical background, ideally in software or More ❯

technical backbone for their next generation of AI-driven sales and operations. This is a senior role for someone who can translate business ambition into scalable technical solutions — connecting data, platforms, and intelligent agents across the enterprise. The Role As AI & Automation Solutions Architect, you will be responsible for creating the enterprise-grade architecture that enables AI and automation … at scale. You’ll design the integration of internal and external data sources, APIs, and orchestration layers (such as Modular Cognitive Platforms), ensuring that large language models (LLMs), AI agents, and enterprise user interfaces work together seamlessly. Your work will create a secure, governed, and scalable environment for real-time, on-demand insights and automation. Key Responsibilities Define and … deliver the architecture for integrating data pipelines, APIs, databases, and external data sources. Design and implement orchestration layers (e.g., MCPs) to connect LLMs, AI agents, and enterprise platforms. Build event-driven and microservices-based architectures that enable scalable, flexible solutions. Ensure security, compliance, and governance are embedded into all AI/automation systems. Partner with business and technology More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You … will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.This role will primarily focus on our US unsecured loans and credit cards business. Our team's objectives The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and More ❯

the team. In this key role within their IT department, you’ll be responsible for overseeing, maintaining, and securing their backend databases ensuring colleagues have the reliable tools and data they need to deliver exceptional service every day. What You’ll Be Doing: High Availability & Disaster Recovery: Configure and maintain high availability solutions such as SQL Server Always On … database mirroring, and clustering to minimise downtime and ensure business continuity. Develop, test, and manage database backup and recovery procedures to protect data integrity. Performance Optimisation: Identify and resolve performance bottlenecks, optimise queries, and fine-tune system configurations for peak performance. Development & Integration: Support the development of integration solutions between systems and platforms. Contribute to improvements and migrations across … analysts, and business stakeholders to ensure reliable, secure, and scalable database solutions. Communicate technical information clearly and effectively. What they’re Looking For: Proven experience in database administration and data engineering. Strong understanding of proactive monitoring, backup and recovery, and high availability solutions. Hands-on experience with ETL tools and processes (e.g. SSIS, Azure Data Factory, Informatica, Talend More ❯