A generous store and restaurant discount of up to 40%. Real-time data, CI/CD, governance or retail experience. 5+ years in data engineering / data development.…
Strong proficiency in SQL, data modelling, and database design principles. Relevant Microsoft certifications in Microsoft Fabric, Azure Data Engineering, or……
Knowledge of modern cloud-based data architectures, distributed computing concepts and large-scale data processing. Salary - Up to £50,000 + bonus and benefits.…
Our Data Engineering team is driven to deliver an incredible experience to our customers–Clions and Clio's customers. 25 days holiday + bank holidays.…
The successful candidate will contribute to the mission of protecting the UK through data-driven insights and solutions, working closely with public sector……
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client……
As a Data Engineer, you will be responsible for supporting the design, development, and maintenance of our data pipelines, data products and infrastructure.…
SaaS or B2B product company background with exposure to product analytics and GTM data. Be the technical owner of critical data domains (e.g. subscriptions,……
Supporting AI or machine learning data pipelines. Review and assess existing data architectures and data platforms. Enterprise analytics or reporting platforms.…
We’re looking for someone with strong problem-solving and collaboration skills who enjoys working in a fast-paced engineering environment and contributing to……
Most roles across Ageas allow a proportion of your time to be spent working from home and we’re open to discussing flexible working, including full-time, part-……
Most roles across Ageas allow a proportion of your time to be spent working from home and we’re open to discussing flexible working, including full-time, part-……
Reading code and writing code changes and/or modifying the monitoring set-up. Basic understanding of Spark and interested in learning the basics of tuning Spark……
You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with……
Assisting in the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, putting in place remedies and troubleshooting……
You will work close to researchers, GPUs, training loops, data control systems, evals, inference stacks, and the infrastructure decisions that directly affect……
Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent……
Work closely with customers to migrate and validate data from their old EMR to wawa. Managing customers through complex data migrations step-by-step to ensure……
You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (……
Hybrid work environment and home office set-up allowance. Regular team and social events. Partner closely with engineering, analytics, and product teams to……
Familiarity with Databricks or equivalent distributed processing platforms. Collaborate with Technical Architects and Infrastructure Engineers to support CI/CD……
2–4 years of experience in data engineering, analytics engineering, or a related technical role. Enable reliable data access for analytics, reporting, and data……
Think deeply, execute quickly: speed and rigour, not speed or rigour. We help law firms and regulated businesses replace manual, fragmented workflows with……
Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account……
Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &……
We already collect a lot of data — now we need someone to turn it into leverage. This is not a classic pipelines-and-warehouse hire (that's table stakes). It's an AI-native take on the data role: build the foundations, then build the agents and internal workflows on top that make the whole organization faster and more data-driven.
What you'll own
The data foundation — pipelines, warehouse, the substrate. Necessary, but not the point.
Agents and internal workflows built on top of that foundation — the actual leverage.
Enabling the org (product and beyond) to make faster, data-driven decisions.
This is an AI-native, senior role for someone who builds. You'll work across the data substrate and the agentic layer on top of it, and you'll be measured by how much faster and smarter you make the rest of the team.
The minimum salary is £135k and the max salary is £190k.
£135k – £190k/yr (Employer provided)
£163k
/yr Median
London, England
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