26 to 33 of 33 Data Warehouse Jobs in Berkshire

Are you an experienced Data Analyst looking for your next opportunity in the insurance sector? **Insurance industry experience is essential** In this role, you’ll be involved in onboarding new insurance programs, enhancing data integration, and delivering impactful insights through advanced reporting tools. This is a fantastic opportunity to work in a high-performing, collaborative team … environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure quality and consistency Develop … and maintain advanced reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data 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 More ❯

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 … 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 data governance standards Partner with analysts, product managers, and engineers to develop data More ❯

Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer More ❯

Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to … s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with … the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory More ❯

Business Intelligence/Data Analyst Full-time, Permanent MUST be UK based, sponsorship is NOT available Do you love transforming data into powerful insights that drive real business decisions? We’re looking for a Business Intelligence/Data Analyst who thrives on solving problems, creating impact, and bringing data to life through … reporting and analysis. What you’ll be doing: Partnering with teams to understand business needs and turning them into meaningful BI solutions Designing and building reports, dashboards, and data models that tell a clear story Developing efficient ETL processes and ensuring data accuracy and integrity Owning projects from start to finish with the freedom to innovate … and improve Supporting colleagues with insights, guidance, and user-friendly reports Staying curious and exploring new tools, methods, and ideas to keep our data strategy moving forward What we’re looking for: Strong SQL skills and hands-on experience with Microsoft SQL Server BI tools Experience building dashboards in Power BI, Tableau, or similar platforms Confidence working with More ❯

About the Role 🧠 A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the … Infrastructure/AI Platform Lead Hybrid London office: minimum 3 days onsite, hands-on role, fast-paced environment What You’ll Do 🔧 Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems) Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots) Build Python … streamline operations and M&A integration processes Monitor, ensure reliability, and scale integrations and pipelines Document and modularize infrastructure for future AI engineers ✅ Must-Haves: Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or More ❯

has big plans for its team and the wider business. I am seeking an exceptional Engineering Manager within Analytics to lead high-performing teams at the crossroads of data engineering, analytics, and real-world business impact. This role offers the chance to shape the architecture, culture, and strategy of a modern analytics ecosystem , driving innovation, scalability, and measurable … different types of projects at one time and adaptable in leading teams and upskilling those around you. In this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of … large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into strategic recommendations that inform business decisions and performance. You’ll thrive if you are able to bring More ❯