26 to 47 of 47 Data Engineer Jobs in Berkshire

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing … developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take … ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement … and maintain automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking More ❯

Fimador is currently recruiting for a Principal Data Engineer to join a team developing cutting-edge data-driven products. This role is helping the firm pioneer AI and ML in the global environment. This role is central to designing and maintaining scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with … architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code reviews, and testing. Research and introduce new tools, technologies, and methodologies. Ideal experience: Experience with … efficient, reliable data pipelines that improve time-to-insight. Knowledge of secure, auditable, and compliant data workflows. Know how on optimising performance and reducing costs through Spark and Databricks tuning. Be able to create reusable, well-documented tools enabling collaboration across teams. A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in More ❯

Senior Data Engineer - Hybrid - Contract - Outside IR35 Our client is expanding their core data engineering function and hiring two Senior Data Engineers to strengthen a modern, scalable data platform. Both will be Databricks specialists, with one role focused on deep technical delivery and the other combining hands-on engineering with team leadership and upskilling responsibilities. … Live Tables (DLT) pipelines across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and … automate deployments. (For leadership-focused role) Mentor and upskill engineers, define coding standards, and embed engineering excellence across the team. What’s Expected Proven experience delivering end-to-end data pipelines in Databricks and Spark environments. Strong understanding of data modelling, schema evolution, and data contract management. Hands-on experience with Kafka, streaming architectures, and real-time More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to … develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we … are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements More ❯

Data Solutions Consultant £45,000 - £60,000 salary Leading AI & Data SME working with cutting edge Data technology Reading based organisation with hybrid working DV Clearance required ABOUT THE CLIENT: Our client is a fast-growing technology consultancy operating at the forefront of AI, data, and software innovation. Their mission is to empower government and enterprise … clients to achieve secure, scalable digital transformation through deep technical expertise. As part of their continued growth, they’re now seeking a Data Solutions Consultant to join the team and help build and deliver secure, operational data platforms for critical security projects. THE DATA SOLUTIONS CONSULTANT ROLE: As a Consultant Engineer, you’ll work directly with … clients to design, develop, and maintain data models, operational workflows, and AI/ML solutions using Palantir technology. This is a hands-on, technically varied role where you’ll combine engineering delivery with strategic advisory, helping clients extract real-world value from their data. You’ll also support mentoring, upskilling, and knowledge-sharing across the team, contributing to the More ❯

Data Solutions Consultant £45,000 - £60,000 salary Leading AI & Data SME working with cutting edge Data technology Reading based organisation with hybrid working DV Clearance required ABOUT THE CLIENT: Our client is a fast-growing technology consultancy operating at the forefront of AI, data, and software innovation. Their mission is to empower government and enterprise … clients to achieve secure, scalable digital transformation through deep technical expertise. As part of their continued growth, they’re now seeking a Data Solutions Consultant to join the team and help build and deliver secure, operational data platforms for critical security projects. THE DATA SOLUTIONS CONSULTANT ROLE: As a Consultant Engineer, you’ll work directly with … clients to design, develop, and maintain data models, operational workflows, and AI/ML solutions using Palantir technology. This is a hands-on, technically varied role where you’ll combine engineering delivery with strategic advisory, helping clients extract real-world value from their data. You’ll also support mentoring, upskilling, and knowledge-sharing across the team, contributing to the More ❯

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, and advanced humanoid robots … 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 ❯

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 systems (Git More ❯

A growing global macro hedge fund is seeking a Technology Associate/Data Engineer to join its lean, high-impact technology team in London. The firm combines an entrepreneurial culture with institutional backing and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection … of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. The successful candidate will be someone who combines strong technical skills with curiosity, pragmatism, and drive — someone who takes pride in engineering fundamentals, thrives … in a small team, and wants to see the commercial impact of their work. Key Responsibilities Develop, maintain, and enhance data pipelines and ETL processes using Python and SQL. Manage and integrate API connections and FTP data feeds into internal systems. Build and support dashboards and reports to provide visibility across trading and operations. Support and optimise the 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 ❯

Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a … Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. More ❯

I’m working with a small boutique Hedge Fund firm based in the London, and they’re looking for a Data Engineer to join their team. This role requires someone who can visit office 5 days a week. The ideal candidate: Extensive experience of software development & data engineering. Strong experience with Python & SQL. Experience with Airflow Experience 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 strong More ❯

Job title: AI & Data Developer Reports to: Head of AI and Data Location: Hybrid (strong preference for Reading office) Hours: Monday to Friday, 37.5 hours per week Salary: Competitive + BCN benefits About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it … provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication , we … and people want to work for. We are delighted you are on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills 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 ❯

an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and More ❯

bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning pipelines Test, troubleshoot … backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. … efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and JavaScript , with experience using Git or other version control More ❯

Job Requirements At Quest Global, its not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently More ❯