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senior data scientist

TRADER Corporation

<div><div><h3 class="jobSectionHeader"><b>About us</b></h3>
<p>
You've probably heard of Autotrader, but do you know what we're all about?</p>
<p>
We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we&rsquo;re also the place for pretty much everything else on wheels, from e-bikes to caravans.</p>
<p>
In the automotive world, change is a constant, that&rsquo;s why we take our job of untangling the complex car-buying journey very seriously.<br>
<br>
At our core, we&rsquo;re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.</p>
<p>
Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.</p>
<h3 class="jobSectionHeader"><b>
About the job</b></h3>
<p>
We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.</p>
<p>
As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.</p>
<p>
Right now, our Data Scientists are working on several exciting projects. For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.</p>
<p>
As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.</p>
<p>
We have invested heavily in a Data Platform that supports industry-leading Data Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):<br>
<br>
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.</p><br>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<p>
We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:</p>
<ul>
<li>A track record of delivering data science solutions in a commercial business</li>
<li>Experience productionising machine learning workflows. Knowledge of deployment and monitoring strategies.</li>
<li>A deep understanding of ML frameworks, algorithms and statistical methods</li>
<li>Expertise with Python and SQL</li>
<li>Experience orchestrating data science projects in cross-functional teams and confidence leading other data scientists</li>
<li>Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps</li>
<li>A passion for coaching Data Analysts and Data Scientists</li>
</ul>
<p>During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further.</p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
We&rsquo;re offering a salary of &pound;50,000&ndash; &pound;70,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.</p>
<p>
You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.</p>
<p>
That&rsquo;s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.</p>
<p>
We always want to give you the support you need and help prioritise your wellbeing, that&rsquo;s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.</p>
<p>
On top of all that, our hybrid model, Connected Working, combines the best of both worlds &ndash; office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.</p>
<p>
Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.</p></div></div><p></p>

Senior Data Scientist

Frontier Resourcing

<div><div><b>Principal Data Scientist &amp; Machine Learning Researcher
</b></div><div><p>Gloucester | London | Manchester
</p>
<p></p><p>Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.
</p>
<p>Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.
</p>
<p>We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).
</p>
<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
<p></p><p><b>The Opportunity
</b></p><p>As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.
</p>
<p>You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.
</p>
<p>This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.
</p>
<p></p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul><p></p><p><b>Essential Skills &amp; Experience
</b></p><ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul><p></p><p><b>Desirable Skills &amp; Experience
</b></p><ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul><p></p><p><b>What's on Offer
</b></p><ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul><p></p><p><b>Benefits:
</b></p><ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

WSP in the UK & Ireland

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  &ldquo;Ricardo is now a member of WSP. As we complete our integration, you may see references to both WSP and Ricardo during the application and interview process.&rdquo;
  <br/>
  <br/>
 </strong>
 <strong>
  What if you could do the kind of work the world needs?
  <br/>
  <br/>
 </strong>
 Our Digital Services team build software in collaboration with WSP's wide range of internationally recognised environmental experts and scientists, creating new and innovative solutions to tackle some of the world's most pressing environmental challenges. You therefore have the opportunity to help contribute to digital services that support better environmental outcomes for clients and communities.
 <br/>
 <br/>
 We tackle some of the world's toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills.
 <br/>
 <br/>
 We have an opportunity for an experienced Senior or Principal Data Scientist to join our team. You will work across the wider business in order to provide best practice leadership and guidance to the practices, who are helping national Governments, the European Commission and international bodies such as the Asian Development Bank and World Bank in the development, implementation and appraisal of environmental policy and technical solutions.
 <br/>
 <br/>
 <strong>
  A Little More About Your Role...
  <br/>
  <br/>
 </strong>
 From day one, you&rsquo;ll be involved in delivering high-profile projects. You will use your technical skills to support colleagues in best practice, data wrangling and applying the latest data analysis techniques utilising a professional software development approach.
 <br/>
 <br/>
 You will have the capacity and curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi-disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 You will carry out research and analysis that drives innovation for our consultancy projects. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report-writing.
 <br/>
 <br/>
 This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy. You will also work collaboratively with professionals within the business to introduce them to data engineering concepts, with opportunities to mentor and upskill data engineers and analysts, creating a standardised and professional development approach to Python development throughout the business.
 <br/>
 <br/>
 <strong>
  What We'd Like You To Demonstrate...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong proficiency in Python
  </li>
  <li>
   Demonstrable experience of:
  </li>
  <li>
   Developing data pipelines, manipulating and cleaning data, extraction of data
  </li>
  <li>
   Using versioning systems (Git), task, test and release management tool
  </li>
  <li>
   Relevant Python libraries (NumPy, Pandas, Scikit-Learn)
  </li>
  <li>
   Understanding of statistics and both the applications and limitations of machine learning
  </li>
  <li>
   Strong oral and written communication skills in order to synthesise findings, communicate insights and visualise results.
  </li>
  <li>
   Interest and ability to learn and apply new technologies
  </li>
  <li>
   Bachelors (2.1 or above) or Masters degree in a relevant discipline (data science, computer science, economics or related)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Don&rsquo;t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.
  <br/>
  <br/>
 </strong>
 <strong>
  Imagine a better future for you and a better future for us all.
  <br/>
  <br/>
 </strong>
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 <br/>
 <br/>
 <strong>
  With us, you can. Apply today.
 </strong>
</div>


Senior or Principal Data Scientist

bet365

<div><b>Company Description</b><p><br>
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.</p><p>
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide.</p><p>
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.</p><b><br>
Job Description</b><p><br>
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.</p><p>
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.</p><p>
In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.</p><p>
This role is eligible for inclusion in the Company's hybrid working policy.</p><b><br>
Qualifications</b><br>
<ul><li>
Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.</li><li>
Master&rsquo;s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Proven success in leading the design, development, and deployment of sophisticated predictive models.</li><li>
Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,</li><li>
Proven ability to design and implement complex machine learning solutions and guiding best practice.</li><li>
Deep understanding of statistical analysis and probability theory.</li><li>
Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.</li><li>
Track record of mentoring junior colleagues and successfully leading technical projects.</li><li>
Experience with cloud computing environments for scalable solutions.</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.</li><li>
Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.</li><li>
Developing predictive models and algorithms using statistical techniques and machine learning.</li><li>
Conducting and supervising rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Partnering with software architects and developers to ensure alignment with technical solutions.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching and implementing novel approaches from academic literature and industry advancements.</li><li>
Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div><p>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy</p>
<p>
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</p></div>

Lead Data Scientist, Sports

Mindrift

<div>
 <strong>
  Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
  <br/>
  <br/>
 </strong>
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 <br/>
 <br/>
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 <br/>
 <br/>
 This is a freelance role for a Tendem project. As a
 <strong>
  Senior Python Data Scraping Engineer
 </strong>
 , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
  </li>
  <li>
   Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
  </li>
  <li>
   Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
  </li>
  <li>
   Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
  </li>
  <li>
   Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
  </li>
  <li>
   Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
  </li>
  <li>
   Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential
  </li>
  <li>
   Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  </li>
  <li>
   Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  </li>
  <li>
   Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  </li>
  <li>
   Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  </li>
  <li>
   Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  </li>
  <li>
   Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  </li>
  <li>
   Strong attention to detail and commitment to data accuracy
  </li>
  <li>
   Self-directed work ethic with ability to troubleshoot independently
  </li>
  <li>
   A link to GitHub is a plus
  </li>
  <li>
   English proficiency: Upper-intermediate (B2) or above (required)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $45 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Senior Python Data Scraping Engineer (Freelance)

CreateFuture

<div><p><b>Who we are</b></p>
<p>
CreateFuture is fast becoming the UK's most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country.</p><br>
<p></p>
<p>
We are a team of creators - whether that's code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few.</p><br>
<p></p>
<p>
Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don't just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.</p>
<p><b>
Join us on our journey&hellip; Let's create something awesome, together, today.</b></p>
<p><b>
About the role and team:</b></p>
<h1 class="jobSectionHeader"><b>
About the role and team</b></h1>
<p>
We're looking for a Principal Data Engineer to join our Data Practice and own the technical direction of our iGaming data engineering capability. You'll work with some of the world's largest betting and gaming operators &mdash; organisations processing hundreds of millions of events per day across sportsbook, casino, exchange, and lottery platforms.</p>
<p>
A Principal at Create Future operates above the delivery line as well as within it. You'll define how we solve the hardest data engineering problems in iGaming: petabyte-scale migrations from legacy on-premises estates, sub-millisecond event pipelines, settlement reconciliation at bookmaker scale, and the data foundations that keep operators compliant with gambling regulators globally.</p>
<p>
You'll influence the shape of engagements from pre-sales through to delivery, grow the engineering talent around you, and be a recognisable voice for Create Future in the iGaming market.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
What you'll be doing</b></h1>
<h2 class="jobSectionHeader"><b>Technical leadership</b></h2>
<ul><li>Defining and owning the data engineering architecture patterns Create Future uses across iGaming engagements &mdash; migration frameworks, streaming architectures, data integrity standards, and Lakehouse design</li>
<li>Acting as the most senior technical authority on client engagements &mdash; making critical architecture decisions, resolving design disputes, and setting the bar for quality</li>
<li>Reviewing and signing off technical designs produced by Lead and Senior engineers across active engagements</li>
<li>Identifying and driving the adoption of new tooling, patterns, and AWS services that improve delivery outcomes across the iGaming practice</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Delivery</b></h2>
<ul><li>Leading the technical design and execution of large-scale data migrations &mdash; moving high-volume transactional and event data from on-premises or legacy cloud estates to AWS, without loss of fidelity or operational continuity</li>
<li>Architecting real-time and near-real-time data pipelines for sportsbook and in-play use cases &mdash; odds feeds, market events, bet placement streams, and settlement pipelines &mdash; where latency and correctness are non-negotiable</li>
<li>Designing and enforcing data integrity frameworks across betting, trading, and customer data domains &mdash; including reconciliation between source and target systems, anomaly detection, and audit trail requirements</li>
<li>Overseeing the implementation of regulatory and compliance reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies</li>
<li>Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA &mdash; selecting the right tool for each problem rather than defaulting to a stack</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Practice and people</b></h2>
<ul><li>Mentoring and growing Lead and Senior Data Engineers &mdash; through code review, pairing, architecture sessions, and career conversations</li>
<li>Building the iGaming data engineering playbook: reusable patterns, accelerators, and reference architectures that reduce time-to-value on new engagements</li>
<li>Contributing to hiring &mdash; defining what great looks like for data engineering roles and playing an active part in assessment</li>
<li>Representing Create Future externally &mdash; at industry events, in technical blog posts, and in client-facing settings &mdash; as a credible voice on iGaming data engineering</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Commercial</b></h2>
<ul><li>Shaping and leading technical responses to iGaming opportunities &mdash; scoping complex engagements, writing architecture proposals, and presenting to senior client stakeholders</li>
<li>Identifying expansion opportunities within existing client relationships &mdash; spotting data engineering problems we can help solve and framing them as propositions</li>
<li>Partnering with AWS on joint go-to-market activity where relevant, leveraging Create Future's Advanced Partner status</li></ul><br>
<p></p>
<h1 class="jobSectionHeader"><b>
What we're looking for</b></h1>
<h2 class="jobSectionHeader"><b>Deep iGaming domain expertise</b></h2>
<ul><li>Extensive experience working in or closely with sportsbook, exchange, or casino platforms &mdash; you understand the data models, operational pressures, and regulatory constraints from the inside</li>
<li>You've led or made decisive contributions to large-scale data migrations in iGaming &mdash; moving live betting, customer, or trading data at scale while maintaining integrity and uptime</li>
<li>You've designed or owned low-latency data pipelines where correctness and throughput are both critical &mdash; odds ingestion, in-play event streams, bet settlement, or equivalent</li>
<li>You understand what data integrity means in a regulated gambling context: reconciliation, audit trails, lineage, and the consequences of getting it wrong</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
AWS data engineering mastery</b></h2>
<ul><li>AWS is your primary cloud and you can design across the full data engineering stack &mdash; from ingestion and streaming through to warehousing, serving, and cost optimisation</li>
<li>You have deep experience with streaming architectures &mdash; Kinesis, Kafka/MSK, Flink, or Spark Streaming &mdash; and know when each is the right choice</li>
<li>You can model the cost implications of architecture decisions and advise clients on trade-offs between throughput, latency, durability, and spend</li>
<li>AWS certification at professional or specialty level is strongly preferred</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Engineering excellence</b></h2>
<ul><li>Mastery of Python, SQL, and Spark &mdash; and strong opinions on how they should be used in production data pipelines</li>
<li>Deep experience with dbt, Airflow, or equivalent orchestration &mdash; including how to build pipelines that are testable, observable, and operationally sound</li>
<li>Strong understanding of data quality engineering &mdash; not just validation rules, but how to build systems that detect and surface integrity issues before they reach consumers</li>
<li>Comfortable with infrastructure-as-code (Terraform, AWS CDK) and treating data platform infrastructure as a first-class engineering concern</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Consultancy and leadership</b></h2>
<ul><li>You've operated at Principal or equivalent level &mdash; making architectural decisions that affect multiple teams, and being accountable for their outcomes</li>
<li>You're comfortable in C-suite and VP-level client conversations, translating technical complexity into business risk and opportunity</li>
<li>You can hold a room on a difficult technical topic and reach a decision &mdash; not just present options</li>
<li>You've grown engineering talent around you and take it seriously as a leadership responsibility</li></ul><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Tech snapshot</b></h1>
<div>
<div><div><div><p><b>Primary cloud</b></p></div><div><br>
<p>
AWS &mdash; Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA</p></div></div><div><br>
<div>
<p><b>Streaming</b></p></div><div><br>
<p>
AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming</p></div></div><div><br>
<div>
<p><b>Languages</b></p></div><div><br>
<p>
Python, SQL, Spark</p></div></div><div><br>
<div>
<p><b>Pipeline tools</b></p></div><div><br>
<p>
dbt, Airflow / AWS MWAA, AWS Glue</p></div></div><div><br>
<div>
<p><b>Platforms</b></p></div><div><br>
<p>
Databricks, Snowflake, Amazon Redshift</p></div></div><div><br>
<div>
<p><b>Data quality</b></p></div><div><br>
<p>
Great Expectations, dbt tests, reconciliation frameworks, data observability tooling</p></div></div><div><br>
<div>
<p><b>IaC / DevOps</b></p></div><div><br>
<p>
Terraform, AWS CDK</p></div></div><div><br>
<div>
<p><b>Certification</b></p></div><div><br>
<p>
AWS Professional or Specialty level strongly preferred</p>
</div>
</div><br>
</div></div><div><h3 class="jobSectionHeader"><b>What we'll offer you:</b></h3>
<p>
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.<br>
<br>
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.</p>
<p>
We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.</p>
<h3 class="jobSectionHeader"><b>
Our hiring process</b></h3>
<p>
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.</p>
<p>
It usually looks like this:</p>
<ul>
<li>Call with our Talent Acquisition Team</li>
<li>Role specific capability interview</li>
</ul>
<p>Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.</p>
<h3 class="jobSectionHeader"><b>
Inclusion at CreateFuture</b></h3>
<p>
We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.</p>
<p>
If you need any adjustments or support during the application process, just. We will do what we can to help.</p>
<p>
We look forward to your application!</p></div></div>

Principal Data Engineer

Raytheon

<div><p><b>Date Posted:</b></p>
2026-03-18<p><b>
Country:</b></p>
United Kingdom<p><b>
Location:</b></p>
Manchester, Lancashire<p><b>
Position Role Type:</b></p>
Onsite<p></p><p>
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.</p><p></p><p>
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.</p><p></p><p>
We have opportunities for Data Engineers at every level within a team, so your Recruiter will discuss the great opportunities for development or challenges we offer based off your professional profile.</p><p></p><p>
Due to the interesting work we do and the sector this team is working in, we require all candidates to<b> currently hold </b><b>eDV clearance.</b></p><p></p><p>
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Build data pipelines that clean, transform, and aggregate data from disparate sources</p></li><li><p>
Collaborate with stakeholders and other engineers</p></li><li><p>
Contribute to the completion of milestones associated with your project</p></li><li><p>
Contribute to continuous improvement within your team</p></li><li><p>
Collaborate with your peers on technical direction within your team</p></li></ul><p></p><p><b>
Required Experience:</b></p><ul><li><p>
Strong analytic skills related to working with unstructured datasets</p></li><li><p>
Python (PySpark, Pandas, PyArrow)</p></li><li><p>
Distributed data processing (Apache Spark)</p></li><li><p>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</p></li><li><p>
Cloud services (AWS, Azure or GCP)</p></li><li><p>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</p></li><li><p>
SQL and NoSQL</p></li><li><p>
Storage (HDFS, Iceberg, Elastic, S3, Data Lake)</p></li><li><p>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</p></li><li><p>
Testing frameworks and best practices</p></li><li><p>
Use of Code repositories, familiarity with branching strategies, pull requests and merge processes</p></li></ul><p></p><p>
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.</p><p></p><div><p><b>
Benefits &amp; Work Culture</b></p><p></p><p><b>
Benefits:</b></p><ul><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension</li><li>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li><li>
Company bonus scheme (discretionary)</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</li><li>
Enhanced sick pay</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul><p></p><p><b>
Work Culture:</b></p><ul><li>
37hr working week</li><li>
Early 1.30pm finish Friday, start your weekend early!</li><li>
Up to 5 paid days volunteering each year.</li><li>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</li></ul></div><p></p><p><b><br>
About us</b></p><p>
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.<br>
<br>
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.</p><p></p><p><b>
RTX</b><br>
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.</p><p><br>
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.</p><p></p><p>
#LI-AS3</p><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i>
</p><p></p><p><b>Privacy Policy and Terms:</b></p></div><p></p>

Senior Data Engineer

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