21 of 21 Data Ingestion Jobs in Slough

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 ❯

Data Engineer (Hybrid – London, UK) Overview An opportunity for a skilled and motivated Data Engineer to join a growing data engineering team within a fast-paced and innovative environment. This position is ideal for someone who enjoys designing robust, scalable data infrastructure using modern open-source technologies. The role offers exposure to diverse datasets, complex data challenges, and opportunities to influence technical direction and best practices. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools. Build and optimise ETL/ELT processes for small to large-scale data processing requirements. Develop data models and schemas to support analytics, business intelligence, and product needs. Monitor, troubleshoot … and optimise data pipeline performance and reliability . Collaborate with analysts, engineers, and product teams to gather and translate data requirements. Implement data validation and quality checks to ensure data integrity. Participate in architecture discussions and contribute to technical roadmap planning . Skills and Attributes Strong analytical mindset with exceptional attention to detail. Excellent problem-solving 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 ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs … Monitor, troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills … with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control 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 ❯

Join us as a Data Platform Engineer for our client. At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent … benefits, you will be deployed across our portfolio of clients as a specialist consultant, working on a wide array of complex projects across multiple industries. The Role: As a Data Platform Engineer in a highly regulated environment, you will be responsible for designing, building, and maintaining secure and scalable data infrastructure that supports both cloud and on-premises … platforms. You will play a key role in ensuring that all data systems comply with industry regulations and security standards while enabling efficient access for analytics and operational teams. A strong command of Apache NiFi is essential for this role. You will be expected to design, implement, and maintain data flows using NiFi, ensuring accurate, efficient, and secure 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 ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their … workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as … Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering More ❯

MI & Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ 3-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … someone who enjoys combining hands-on data analysis, reporting, and Azure integration work — helping build robust data foundations and self-serve reporting capability for an evolving business area. 🔍 The Opportunity You’ll be supporting a small, forward-thinking team to improve how they use data — helping them access accurate and timely MI, streamline processes, and migrate to … a new Azure-based data environment. You’ll take ownership of reporting improvements, work closely with third-party partners on offshoring data processes, and support the move of key datasets into the Unity Catalog environment. 💼 Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

wide array of complex projects across multiple industries. The Role: We are looking for a Software Engineer with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between … internal systems, third-party platforms, and cloud services. Your core focus will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross-functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory … over 5 years of relevant experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Responsibilities: Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. 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 ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯

of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯

and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases. Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving. Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health. Manage infrastructure as code (Terraform, or similar) for … or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. … and reproducibility, but you also enable teams to ship fast. Nice to Have Experience delivering API services (FastAPI, SpringBoot or similar). Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us You'll be part of a small, high-output team where intensity and focus are the norm. You More ❯

create strategic Road-map for large enterprise initiatives Must have experience in Legacy Modernization programs Should be proficient at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to More ❯

really do and delivering rapid-fire prototypes that become mission-critical apps. What you’ll tackle Spot the pain-points across Equities, Credit, Rates and central Risk teams; translate data-flow headaches into buildable tech projects. Prototype at pace in Python—leveraging LLM co-pilots—to stand-up analytics services, REST APIs and lightweight Dash/React front-ends. … Own the full stack: data ingestion (SQL, files, feeds), business logic, web/UI, CI pipelines and Linux deployment. Codify best practice for safe, auditable LLM-assisted development; lead code reviews and knowledge-share sessions. Stay user-facing —white-board with quants, ask clarifying questions, iterate live and keep comms flowing. You in a nutshell 5 + years … building production-grade Python systems for data-heavy businesses; comfortable with tests, version control and optimisation. Confident SQL , exposure to REST and messaging (Rabbit, Kafka, etc.), and enough Linux to troubleshoot on the command line. UI chops in Dash, Flask or React to whip up proof-of-concept dashboards. Solid grounding in financial products & risk metrics —equities, bonds and More ❯

as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong … Background and experience in Data Ingestions,Transformation,Modeling and Performance tuning. One migration Experience from Cornerstone to GCP will be added advantage Suppport the design and development of BigData echosystem Experience in building complex SQL Queries Strong Communication Skills More ❯

focusing on ultra-reliable, low-latency integrations with major crypto exchanges. Key Responsibilities Design and implement exchange connectivity modules (REST, WebSocket, FIX, proprietary APIs). Optimize order entry, market data ingestion, and account management for performance and reliability. Contribute to a fault-tolerant, scalable connectivity framework using Rust and Typescript. Collaborate with trading, infrastructure, and product teams to More ❯