476 to 500 of 513 Data Engineering Jobs in London

Tesco Technology in London seeks a Senior Software Engineer for its Data & Intelligence Platform, connecting supply chain forecasts to actions. You will own end-to-end backend services, data pipelines, and LLM/tool-calling components, with production exposure across cloud-native environments. The role blends data engineering, ML awareness, and developer infrastructure, focusing on scalable APIs and retrieval quality. #J-18808-Ljbffr ...

Marie Curie seeks a senior Director of Engineering to lead the organisation’s digital and data engineering capability. You will report to the CTO and ensure secure, scalable web platforms, CRM integration, and an AI Centre of Excellence drive value for patients and supporters. You will shape … engineering standards, govern delivery, and partner with executive leadership to enable agile, product-led tech transformation in a healthcare charity. #J-18808-Ljbffr ...

company is seeking a Forward Deployed Engineer who will work with customers to design and productionize data and AI solutions using the company platform. You will own the architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development. This hands … client-facing role requires strong engineering and communication skills, with travel to customers and the ability to translate complex concepts into practical solutions that drive #J-18808-Ljbffr ...

Meshh in London is seeking a hands-on Head of Engineering (R&D) to lead the next phase of product innovation and growth. You will shape long-term technology strategy while turning research into reliable, scalable cloud, data analytics and ML-powered solutions used by customers worldwide. … oversee software, data engineering and ML teams, mentor engineers, review architectures and occasionally contribute code or prototypes where it adds value. #J-18808-Ljbffr ...

processes at scale. You will prototype rapidly, collaborate across functions, and manage contractor or vendor workers to deliver measurable impact. Responsibilities span full-stack engineering, backend, frontend, and data engineering to build scalable systems while adhering to security, #J-18808-Ljbffr ...

opportunity to play a key role in the development and evolution of laboratory informatics systems, working closely with technical and scientific teams to improve data workflows, enhance business-critical platforms and support the delivery of technology solutions that enable cutting-edge research. You'll collaborate with Technology, Data … Information Management Systems (LIMS) is highly desirable. Previous experience within the Life Sciences, Pharmaceutical or Biotechnology sector would be a distinct advantage. Exposure to data pipelines and collaborating with Data Engineering teams. Experience acting as a Product Owner or System Owner for a business-critical platform ...

seeking an experienced Data Team Lead to lead and develop our client's database and data engineering capability. This role combines hands‐on technical expertise with team leadership and project delivery responsibility. The successful candidate will manage a team of SQL and database professionals, ensuring the delivery … high-quality data solutions, database performance, reliability, and project outcomes that support business objectives. Key Responsibilities Lead, mentor, and develop the SQL/Database team. Manage workload allocation, priorities, and team performance. Act as the technical escalation point for database-related issues. Design, develop, and optimise SQL queries, stored ...

across enterprise and commercial segments. You will own the full sales motion, recruit and coach a high-performance team, and collaborate with Marketing, Field Engineering and Product to drive durable revenue growth. The role requires a track record of building and scaling sales organizations in high-growth SaaS … data infrastructure environments, selling to data engineering and DevOps personas, and #J-18808-Ljbffr ...

design models that estimate event probabilities, detect mispricing, size positions, and manage risk – then translate them into reliable systems that run end-to-end (data → forecasting → execution → monitoring). This role sits at the intersection of quant research, engineering, and market microstructure, and is ideal for someone … outcomes of real-world events (e.g., elections, macro releases, sports, policy decisions, industry milestones). Combine heterogeneous signals (time series, text/news, market data, polling/alternative data, fundamentals, expert priors) into calibrated probability estimates. Build pricing and edge frameworks: fair value, uncertainty bands, expected value ...

continuous improvement through measurement and feedback. You will own model behavior in production, defining success metrics and addressing edge cases, while collaborating with Data Engineering on infrastructure, CI/CD, and data governance. #J-18808-Ljbffr ...

cloud ecosystem and third‐party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‐ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how‐tos, and demo applications. Develop both technically … aspect with the goal of becoming an independently operating Solutions Architect. What we look for Experience, technical customer‐facing with a background ideally in Data Science/Generative AI/Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working ...

signal structures. Evaluate, document, and back ‐ test methodologies to ensure robustness, reproducibility, and performance under varying market regimes. Lead the development of analytics and data-driven processes to automate and optimize model calibrations. Validate and compare production implementations of models to verify behaviour and outcomes vs research. Execution measurement … evaluate routing, scheduling, and parameter changes; define success metrics and ensure robust statistical conclusions. Build tools to analyse execution performance and evaluate experiments. Data engineering Develop and curate high quality datasets facilitate research into quantitative models for trading algorithms and performance analysis. Collaboration Collaborate with Technology and Algo ...

ADLIB is seeking a Senior Data Platform Engineer to take ownership of their growing platform and help scale it globally. You will work closely with scientists, analysts, and engineers to create scalable systems from complex workflows, with a focus on managing a GCP-first platform. The ideal candidate … strong experience in data engineering, solid Python skills, and familiarity with tools such as BigQuery and Airflow. This position offers a competitive salary of up to £100,000 and the opportunity to work in London three days a week. #J-18808-Ljbffr ...

professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Labs accelerators ...

Kotlin code that contributes to business-critical datasets used for royalty reporting, analytics, experimentation, and personalization. Collaborate with engineers across Android, iOS, backend, and data teams to deliver end-to-end solutions. Help improve the architecture, reliability, and quality of the systems used to collect and process user behavior … experiences. Drive technical improvements that make it easier for teams across Spotify to add, validate, and maintain event reporting integrations. Use modern AI-assisted engineering tools and workflows to improve productivity and software quality. Contribute to a culture of continuous learning, knowledge sharing, and technical excellence. Qualifications You have ...

transformation initiatives across their portfolio. 📍 Location: Remote-First (1 day a month on-site in London) Positioned at the intersection of public sector policy, data maturity, and digital innovation, this role empowers you to orchestrate high-impact technology programmes that directly improve lives and transform public services across … UK. Rather than building tech for tech’s sake, our client’s multidisciplinary teams focus on building scalable infrastructure, national data frameworks, and modern digital capabilities for public and social sector ecosystems. About the Organisation Our client designs, funds, and scales innovative solutions to systemic social issues. Operating with ...

experienced Lead Software Engineer to help shape the future of its digital platform. You'll provide technical leadership across Digital, Integrations, Salesforce and Data Engineering, defining solution designs, driving engineering best practice and del click apply for full job details ...

seeking a Solution Architect to work in London. You will design scalable blockchain solutions for the financial services sector, leveraging AI and modern data architectures while collaborating with clients to define project requirements. This role demands significant experience in data engineering and financial technologies. A salary range ...

role Our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java or JavaScript and are looking to progress their career and move into a Mid-Level technical role with ...

leading data and AI company is seeking a Field CTO in London to engage with technical founders and CTOs at high-growth startups. You'll leverage your extensive experience to drive technical evangelism, foster relationships within the UK startup ecosystem, and navigate rapid innovation cycles. Ideal candidates possess over … years in startup leadership, with strong skills in Data Engineering and a deep understanding of the startup landscape. A unique chance to create significant impact in the evolving digital-native environment awaits you. #J-18808-Ljbffr ...

ensuring they meet business objectives while maintaining enterprise-grade standards. Your role will encompass deep ownership of critical architecture domains such as AI security, data engineering, and multi-agent systems. This position involves producing architecture artifacts, mentoring engineering teams, and continuously integrating emerging AI technologies. #J ...

values - ownership, impact, humility, and heart - in deed, not just word The Role We are looking for a Senior Engineer to join our growing engineering team, and build out our backend third party integration systems as we scale. For us, this isn’t just about technical performance, but also … integrations Work on one of the pillar revenue centers of the organization Take ownership of backend system architecture and implementation Build performant and resilient data flows; keeping security in mind during every step Work closely with product team to regularly ship working features Work in an iterative fashion Evaluate ...

functional teams to translate business requirements into robust technical strategies, develop automation scripts, and ensure regulatory-aligned controls across platforms. You will engage with data engineering, ML model validation, regulatory audits, and continuous delivery cycles, enabling scalable, secure #J-18808-Ljbffr ...

BigQuery This is an opportunity for you to join a growing ecommerce business who are looking for an Analytics Engineer to build and maintain data pipelines and create new dashboards and reports across the business. You'll be using their newly adopted GCP stack, BigQuery, Looker etc. and work … closely with the wider data engineering team. We're interested in hearing from people who have experience with some of the following: Looker BigQuery GCP Please apply to be considered. London/Hybrid £(Apply online only) per day (Outside IR35) Analytics Engineer/GCP/LookML/BigQuery ...

come to our office in London 3 days a week. These would make you perfect Domain Expertise: A deep understanding of AI, the modern data stack, data orchestration, and the challenges faced by data teams. You should be able to speak credibly and technically with data leaders and practitioners. Industry knowledge : sales in the data infrastructure space (Snowflake, AWS), with a significant portion of that time focused on selling to enterprise and mid-market clients (employees 200 - 10,000). You have led a Sales Team in the Data Space before, ideally around ...