7 of 7 Senior Data Engineer Jobs in Berkshire

We are searching for a remote working Senior Data Engineer to join our clients high-performing Data Engineering team. This role is ideal for an experienced, hands-on professional Senior Data Engineer who thrives on technical leadership, innovation, and delivery. You can be based anywhere in the UK to be considered for the … role but you MUST be UK based as overseas working is not possible with our client. Our client is a 100% data-driven company who pride themselves on engineering excellence and delivering impactful solutions to their clients. You will play a crucial role in driving the team's vision and objectives and you will be expected to provide technical … leadership, own the solution, ensure the reliability of data products, and collaborate closely with the team and customers in order to optimise data solutions. This is a unique opportunity for a highly skilled and hard-working Senior Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data … with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will … Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with More ❯

Senior Data Cabling Engineer | Sandhurst, GU47 | Full Time | £40,000-£45,000 (with expenses & benefits) Founded in 2005, our client has grown into a trusted provider of structured cabling solutions across the UK and Europe. With the founders actively involved in the day-to-day operations, they bring over 50 years of combined expertise in structured cabling … and electrical engineering, ensuring every project is delivered to the highest standards. Our client, a market-leading Structured Cabling business based in Sandhurst, Berkshire, is seeking experienced Data Cabling Engineers to join their team. This exciting opportunity comes as a result of their continued success and growth. Are you the right person for the job? Hold a valid driving … but not essential) Be flexible to work in occupied spaces, building sites, and occasional overnight stays Bonus: experience in AV installation What will your role look like? As a Senior Data Cabling Engineer, you'll be leading and delivering structured cabling projects across the UK and Europe. Your role will involve: Installing Cat5e, Cat6, and Cat6a structured More ❯

Senior Data Analytics Engineer - London | Transform data into strategic advantage at one of the world's leading Investment firms Are you ready to shape the future of data analytics? Join a globally recognised investment firm, managing billions in capital commitments and pioneering innovative liquidity solutions. The Opportunity Step into a dynamic role within the Data … making across our multi-billion-dollar funds. What makes this role exceptional: Collaborative, entrepreneurial environment with a proven track record of career development Significant impact on business strategy through data-driven insights Part of a strong, mutually supportive team in a non-hierarchical structure Key Responsibilities Solution Design & Project Management Lead as a Databricks technical expert, driving process improvement … and automation Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable data solutions supporting ambitious growth plans Data Intelligence & Visualisation Create compelling visualisations and interactive dashboards using QlikSense Drive data literacy initiatives across the organization Present insights that inform senior More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw … data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure … as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive … such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After More ❯

be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: * Provide technical leadership and oversight to the group Data & Analytics platform team. * Responsible for ensuring the reliability, security and scalability of analytics platform services. * Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure … as code. * Help to set development standards, configure operational support processes and provide technical assurance. * Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? * Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. * Extensive … such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. * Strong understanding of security best practices within Azure and ideally AWS. * Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. * Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After More ❯