26 to 33 of 33 Senior Data Engineer Jobs in Berkshire

and control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our … global analytics platform —supporting Front Office Trading across commodities—by building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake … and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical … workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake … and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical … workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD More ❯

Areti is seeking Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start. YOU MUST BE DV OR SC CLEARED You will be working on a number of large Defence and Government projects and be given … the opportunity to lead a number of high-profile programs. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates … will have a skillset to include the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for More ❯

Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its More ❯

Senior Data and Analytics Engineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the … and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯

specialize in providing a seamless recruitment experience for clients and candidates, fostering innovation and professional growth. Our client is an established fintech scale-up transforming how digital platforms use data to support smarter financial decisions. They’ve grown rapidly across the UK, Europe, and North America, with backing from a respected investment group. Their culture is data-driven … collaborative, and built around empowering teams to deliver fast, reliable insights that drive growth and performance. About the Role We’re looking for a Senior Analytics Engineer to help build and evolve a world-class analytics environment. You’ll take ownership of designing, developing, and maintaining scalable data pipelines and models that power decision-making across multiple … business areas. This is a hands-on technical role where you’ll bridge data engineering and analytics, working closely with teams in product, finance, and technology to translate complex business questions into accessible, trustworthy datasets and visualisations. What You’ll Do Build and optimise robust data models in SQL and dbt Develop automated data pipelines and ensure More ❯

properly and seeing your work make a visible impact, you’ll like this one. You’ll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. You’ll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You won’t be stuck doing endless ad hoc reports. You’ll build the foundations that make analysis and experimentation effortless for everyone else. What you’ll do Design, build … and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience More ❯