City of Westminster, England, United Kingdom · On-site
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Skills: Python, AWS, SQL, Cloud Engineering, Software Engineering
City of Westminster, England, United Kingdom · Hybrid
$850/hr–$900/hr
Interim Head of F,A&R (Forecasting, Allocation & Replenishment) Contract: 12-18 months (will consider full or part-time) IR35: Outside IR35 Start: ASAP Rate: £850-900/day. Location: London, UK. Hybrid. Context & Role Our…
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City of Westminster, England, United Kingdom · Hybrid
$70k–$110k/yr
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City of Westminster, England, United Kingdom · Hybrid
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City of Westminster, England, United Kingdom · Hybrid
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Skills: Risk Management, Data Analytics, SQL, Python, Quantitative Analysis
City of Westminster, England, United Kingdom · Hybrid
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City of Westminster, England, United Kingdom · On-site
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Skills: Value Selling, Solution Design, Enterprise Sales, Technical Strategy, Proof Of Concept
City of Westminster, England, United Kingdom · Hybrid
$57k–$70k/yr
We exist to create positive change for people and the planet. Join us and make a difference too! Job Title: Demand Capacity and Reporting Manager Location: Covent Garden, London (hybrid) Type: Permanent, full-time About …
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City of Westminster, England, United Kingdom · Hybrid
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City of Westminster, England, United Kingdom · Hybrid
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Dublin, Leinster, Ireland · Remote OK
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City of Westminster, England, United Kingdom · Hybrid
About Y TREE We are a rapidly growing WealthTech business that is re-defining how individuals and families connect and engage with their money. We provide our clients with control over their personal finances, enhancing …
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City of Westminster, England, United Kingdom · Hybrid
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City of Westminster, England, United Kingdom · Hybrid
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City of Westminster, England, United Kingdom · Hybrid
$50k–$65k/yr
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City of Westminster, England, United Kingdom · On-site
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Skills: Product Management, Data Analytics, Metrics Methodology, B2B Enterprise Product Management, Stakeholder Management
City of Westminster, England, United Kingdom · On-site
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Skills: Artificial Intelligence, Machine Learning, TensorFlow, PyTorch, Keras
City of Westminster, England, United Kingdom · On-site
$70k–$96k/yr
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
Skills: CRM Management, CXF Migration, Veeva CRM, Salesforce, Veeva Vault
City of Westminster, England, United Kingdom · On-site
$70k–$96k/yr
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
Skills: Data Product Management, Commercial Analytics, Marketing Mix Modelling, Next Best Action, Business Analysis
City of Westminster, England, United Kingdom · On-site
$70k–$96k/yr
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
Skills: Omnichannel Engagement, Customer Experience, Content Management, CRM Technology, Stakeholder Management
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Build and operate the shared pipelines, storage systems, and cloud infrastructure that process large football datasets. Develop reusable tools and ensure the reliability, observability, and cost-efficiency of batch workloads on AWS.
Requires strong production software engineering skills in Python and hands-on experience building systems using cloud primitives. Candidates must have a solid understanding of systems fundamentals, SQL, and the ability to handle loosely defined problems.
Football Radar has been developing statistical models and analytical frameworks for football for more than 10 years. We provide advice to football clubs and are also a leading provider of betting advice.
We combine the agility and ownership of a start-up with the stability of an established, profitable business.
Everything we do runs on data. Our models and research are only as good as the datasets behind them, so we are hiring a data platform engineer to help build and operate that foundation: the shared pipelines, storage systems, tools and cloud infrastructure that turn large, messy football datasets into reliable, affordable and accessible inputs for our data scientists.
This is a data platform role grounded in software and cloud engineering. You will build both the systems that process our data and the reusable capabilities that make those systems easier to develop, deploy and operate. Much of the work will be familiar to a data engineer, however we tend to build directly in AWS rather than using managed platforms, so the role involves more hands-on cloud work than many data engineering roles.
The role could suit a platform, backend or cloud engineer who wants to specialise in data-intensive systems. It could also suit a data engineer with strong software engineering fundamentals and hands-on experience building and operating cloud infrastructure.
You will work on real football data problems involving rich, granular datasets that few companies have access to. We are a small team with short feedback loops, and you will work closely with the people who use what you build. You will have a genuine say in how systems should work, then build, ship and own them in production.
Building reusable tools and pipelines for ingesting large third-party datasets, some at terabyte scale.
Designing storage patterns and data interfaces that make datasets economical to store, and efficient to use.
Operating batch workloads on AWS, with responsibility for their reliability, resource use, retry behaviour, observability and cost.
Improving the shared tooling and infrastructure used to test, deploy, monitor and operate our data services.
Making common data workflows easier and safer for data scientists, while working closely with them to understand how datasets will actually be used.
Making nightly data loads and copy processes boring: restart-safe, observable and quick to recover when something fails.
Strong production software engineering
You have a few years of experience building production software, ideally in Python, although strong engineers from other languages who want to work in Python are welcome. You write code that is tested, deployed and monitored, and you are comfortable reading and debugging code written by other people.
Hands-on cloud engineering
You have built, deployed and operated systems using cloud primitives directly, not only through a data platform such as Databricks or Snowflake. Your experience might include object storage, containerised compute, batch jobs, queues, identity and permissions, networking, monitoring or infrastructure as code.
We use AWS for almost everything, but strong fundamentals on another public cloud transfer well. You do not need to know every AWS service we use. You should understand the core building blocks and their cost models well enough to design with them, see how the components of a cloud system fit together and investigate them when they fail.
Strong systems fundamentals
You can reason about what the tools are doing underneath: how a database uses an index, why a process runs out of memory, how files and objects behave in cloud storage, and what makes a distributed job safe to retry or restart halfway through.
Production ownership
You have kept something running that mattered. You have handled failures, added missing alerts and made unreliable systems dependable. You take pride in systems that are uneventful to operate.
Data and SQL fundamentals
You are comfortable with SQL and relational databases. You can reason about schemas, indexes, query plans and the trade-offs involved in storing and processing large datasets.
Comfort with loosely defined problems
Much of our work has no detailed specification or established playbook. You enjoy turning a vague problem into a practical design, making sensible choices and shipping a working system. You can judge when a detail deserves careful treatment and when a simple first version is the right answer.
Curiosity about how data is used
You do not need a data science background, but our platform exists to serve statistical models and research. You should be interested in how datasets will actually be used and willing to let that shape the systems you build. An interest in football, sport or betting markets is a bonus.
Our mission is to become the number one experts in football.
Football Radar is a leading provider of football betting advice. We specialise in predicting the outcome of matches and competitions, and have helped our clients achieve outstanding returns in the betting markets for almost 15 years. The company was founded with one clear vision in mind: To become the no. 1 experts on football. With a unique approach that combines subjective input from highly skilled analysts with innovative modelling techniques, we believe that we can continue to take our understanding of the game to new levels. Our insights are stress-tested daily for clients in the betting industry. We run a sophisticated testing infrastructure to continuously monitor and validate the quality and accuracy of our data. We combine automated testing with a commitment to analyst training and alignment to ensure our intelligence can continue to be delivered with confidence. Our approach uses a qualitative methodology that sets us apart from our competitors. We continue to advance our understanding by redefining how football is understood. By managing the pipeline from data collection through to modelling and odds compiling, we are truly innovating the industry.
Offices: 1 Craven Hill, London, England W2 3EN, GB
There are currently 131 open data & analytics positions in City of Westminster, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include American Express, King, NCC Group, Y TREE, the7stars, among others. Browse the listings above to see every active employer.
Yes — 98 of the 131 open data & analytics positions offer remote or hybrid work (2 remote, 96 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
