6 of 6 Remote Data Ingestion Jobs in Berkshire

format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting opportunity for you as a … GCP Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you … thought leadership. Gain access to endless learning opportunities. Lead projects and inspire both colleagues and stakeholders. Lead a team and their technical growth. The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: API Development: Design More ❯

Are you an experienced Data Engineer looking for your next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Engineer, you’ll join a collaborative, high-performing team with … a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and develop scalable data pipelines and infrastructure that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e … commerce and fan engagement. If you're passionate about using advanced data engineering to drive real-world impact in sport, this is the role for you. Key Responsibilities Architect, design and build scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. More ❯

enable environmental impact assessments, economic modelling, and the integration of community preferences. The SME will be responsible for consolidating and migrating diverse spatial datasets into a unified system, ensuring data accuracy, quality, and accessibility, while supporting secure, role-based access, automation, and interoperability with internal and external systems. Your Responsibilities Platform Design & Implementation Architect and deploy a scalable ESRI … based GIS platform (ArcGIS Enterprise, ArcGIS Online, etc.). Define system architecture, data flows, and integration points with enterprise systems. Lead the migration and consolidation of spatial datasets from legacy systems. Spatial Analysis & Planning Develop spatial models for energy planning, environmental impact assessments, and economic forecasting. Integrate community feedback and preferences into spatial decision-making tools. Create interactive dashboards … and maps for stakeholder engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯