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

bet365

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
 </p>
 <p>
  <br/>
 </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>
  <br/>
 </p>
 <p>
  In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is eligible for inclusion in the Company's hybrid working policy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
  </li>
  <li>
   Keen interest in a wide range of sports and/or the online gambling industry.
  </li>
  <li>
   Demonstrable experience building predictive models from data.
  </li>
  <li>
   Expertise in statistical analysis and probability theory applied to real-world problems.
  </li>
  <li>
   Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
  </li>
  <li>
   Ability to optimise models for both accuracy and computational efficiency.
  </li>
  <li>
   Experience handling and analysing large datasets.
  </li>
  <li>
   Familiarity with cloud computing environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <ul>
  <li>
   Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.
  </li>
  <li>
   Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.
  </li>
  <li>
   Devising innovative solutions for unstructured problems.
  </li>
  <li>
   Assessing existing models and algorithms to identify areas for improvement.
  </li>
  <li>
   Identifying and resolving data quality issues or bugs affecting models or analysis.
  </li>
  <li>
   Performing 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>
   Optimising model performance for both accuracy and computational efficiency.
  </li>
  <li>
   Researching novel approaches from academic literature and industry developments.
  </li>
  <li>
   Identifying and defining new opportunities for data-driven insights.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <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>
  <br/>
 </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>


Data Scientist, Sports

<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 Data Scientist, you will develop 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 to develop models that determine odds and power in-play betting decisions. 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>
Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Keen interest in a wide range of sports and/or the online gambling industry.</li><li>
Demonstrable experience building predictive models from data.</li><li>
Expertise in statistical analysis and probability theory applied to real-world problems.</li><li>
Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.</li><li>
Ability to optimise models for both accuracy and computational efficiency.</li><li>
Experience handling and analysing large datasets.</li><li>
Familiarity with cloud computing environments.</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.</li><li>
Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.</li><li>
Devising innovative solutions for unstructured problems.</li><li>
Assessing existing models and algorithms to identify areas for improvement.</li><li>
Identifying and resolving data quality issues or bugs affecting models or analysis.</li><li>
Performing 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>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching novel approaches from academic literature and industry developments.</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>

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)

Hippo Digital Limited

<p>About The Role<br/></p><p>Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Engineer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact.<br/></p><p>As a Senior Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do.<br/></p><p>You will act as a Senior Consultant to deliver Data Engineering services to our clients. Senior Data Engineers at Hippo are experienced practitioners who lead the delivery of complex data systems, ensuring technical excellence and mentoring others to maintain high standards.<br/></p><p>Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. The Senior Data Engineer will be a key player and implementer in this mission.<br/></p><p>Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support.<br/></p><p>Your Role in a Nutshell<br/></p><p>Lead the production of user-centred data software based on business requirements and best practice.<br/>Work collaboratively with colleagues to explore, design and deliver innovative solutions to complex client problems.<br/>Maintain and grow client relationships, troubleshooting complex issues through collaboration.<br/>Design and manage software development and deployment pipelines, resolving potential bottlenecks before they occur.<br/>Communicate and present prototypes, solutions, and progress to internal and external stakeholders in a clear, concise manner.<br/>Build great relationships with your team and stakeholders, ensuring that systemic challenges are overcome.<br/>Mentoring and coaching other engineers to support their professional development.<br/>Promote Hippo&rsquo;s Data Herd internally and externally through blogs, case studies, and workshops.<br/>Skills and experience that you need<br/></p><p>Essential Experience<br/></p><p>Excellent experience delivering in Python and experience with at least one other core language.<br/>Strong expertise in SQL and relational databases.<br/>Solid experience with Cloud providers such as AWS, Azure or GCP.<br/>Solid experience working with Snowflake and dbt.<br/>Strong experience working with different data formats, e.g., CSV, JSON and XML.<br/>Expert knowledge in building reliable and scalable Data Pipelines.<br/>Deep experience working in an Agile Environment.<br/>Proficiency in Test-Driven Development (TDD) or Behaviour Driven Development (BDD).<br/>Strong experience with Continuous Integration and Continuous Deployment (CI/CD).<br/>Experience mentoring and coaching others on technical best practices.<br/></p><p>Desirable Experience<br/></p><p>Previous experience of working on GOV/NHS projects or in a consultancy environment.<br/>Experience in Data Modelling.<br/>Broader knowledge of IT &mdash; e.g., Security and Networking.<br/>What makes us great<br/></p><p>Alongside working with some of the most talented people out there and on-top of a competitive salary, which we&rsquo;re transparent about from the outset, you can also expect a range of benefits:<br/></p><p>Contributory Pension Scheme (Hippo 6% &amp; Employee 2%)<br/>25 Days Holiday plus UK Public Holidays<br/>Perkbox access for a wide range of discounts<br/>Critical illness cover<br/>Life assurance and death in service cover<br/>Volunteer days<br/>Cycle-to-work scheme for the avid cyclists<br/>Salary sacrifice electric vehicles scheme<br/>Season ticket loans<br/>Financial and general wellbeing sessions<br/>Flexible benefits scheme with options of:<br/>Private health cover<br/>Private dental cover<br/>Additional company pension contributions<br/>Additional holidays (up to an extra 2 days)<br/>Wellbeing contribution<br/>Charity contributions<br/>Tree planting<br/></p><p>Diversity, Inclusion and Belonging at Hippo<br/></p><p>At Hippo, we&rsquo;re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive.<br/></p><p>We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.<br/></p><p>Hi, we&rsquo;re Hippo<br/></p><p>At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes.<br/></p><p>We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world.<br/></p><p>Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society.<br/></p><p>Have a look through our Website at Our Story &amp; Purpose, Our Culture &amp; Values, Case Studies and Our Solutions &amp; Services to find out some more!<br/></p><p>Hippo Locations<br/></p><p>We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to &pound;8,000 (please ask for terms and conditions) to help make your move a smooth one.<br/></p><p>Work Location: Hybrid remote in Manchester M2 1DH<br/></p>

Senior Data Engineer

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

Betfred

<div><h2 class="jobSectionHeader"><b>About Us</b></h2>
<p>Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this.</p>
<p>With our proprietary platform powering everything we do, it's an exciting time to join us. We're pioneering new products and driving more advanced, creative technologies. The result? Unrivalled experiences for millions of customers worldwide.</p>
<p>Betfred's Technology department is driven by innovation, and you'll be at the heart of unlocking our platform's potential. So, if you want to help shape the future of betting and gaming, it's time to join us.</p>
<h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
<p>The Senior Corporate &amp; Cloud Support Engineer provides advanced technical expertise across corporate infrastructure, identity platforms, cloud services, remote access technologies and data protection platforms. Acting as the senior technical escalation point within the Corporate Support team, the role leads complex troubleshooting, platform improvement initiatives, and security remediation, working closely with Systems Administrators, Service Management, Security, and Infrastructure teams.</p>
<p>Reporting to the Corporate &amp; Cloud Support Manager, the role provides technical leadership and mentoring while remaining hands-on with engineering and operational delivery.</p>
<h2 class="jobSectionHeader"><b>Job Duties</b></h2>
<h3 class="jobSectionHeader"><b>Advanced Identity &amp; Access Platform Engineering</b></h3>
<ul><li>Act as the senior technical escalation point for Entra ID and Active Directory platforms.</li>
<li>Lead complex troubleshooting across authentication, authorisation, synchronisation and identity-related services.</li>
<li>Support Enterprise Applications, App Registrations, hybrid identity services and Group Policy administration.</li>
<li>Drive improvements to identity security controls, access governance and platform standards.</li>
<li>Contribute to the design, implementation, and optimisation of identity and access management solutions.</li>
</ul><h3 class="jobSectionHeader"><b>Cloud &amp; Infrastructure Engineering</b></h3>
<ul><li>Support and maintain Microsoft Azure and associated cloud services within agreed ownership boundaries.</li>
<li>Lead technical delivery of platform upgrades, migrations, lifecycle activities and infrastructure improvements.</li>
<li>Identify opportunities to improve platform resilience, performance, scalability and operational efficiency.</li>
<li>Contribute to the design and implementation of new cloud and infrastructure services.</li>
</ul><h3 class="jobSectionHeader"><b>Remote Access &amp; End User Platforms</b></h3>
<ul><li>Provide advanced support for Remote Desktop Services (RDS) and associated access technologies.</li>
<li>Lead troubleshooting and resolution of complex performance, availability and access-related issues.</li>
<li>Drive improvements to platform stability, security and user experience.</li>
<li>Support capacity planning and service optimisation activities.</li>
</ul><h3 class="jobSectionHeader"><b>Backup, Recovery &amp; Resilience</b></h3>
<ul><li>Act as the senior technical lead for backup and recovery platforms.</li>
<li>Support enterprise backup solutions, ensuring effective protection of infrastructure, cloud, database and application services.</li>
<li>Lead recovery testing, troubleshooting and continuous improvement of backup and recovery processes.</li>
<li>Support disaster recovery exercises and contribute to data protection and resilience strategies.</li>
</ul><h3 class="jobSectionHeader"><b>Security, Monitoring &amp; Continuous Improvement</b></h3>
<ul><li>Lead security remediation and platform hardening activities across supported services.</li>
<li>Support vulnerability management, monitoring, alerting and observability improvements.</li>
<li>Lead automation and scripting initiatives to improve efficiency, consistency and platform reliability.</li>
<li>Identify and drive resolution of technical debt, recurring issues and service improvement opportunities.</li>
<li>Maintain technical documentation, standards and operational procedures.</li>
</ul><h3 class="jobSectionHeader"><b>Technical Leadership &amp; Collaboration</b></h3>
<ul><li>Act as the senior technical escalation point within the Corporate Support team.</li>
<li>Provide mentoring, coaching and technical guidance to Corporate Support Engineers.</li>
<li>Lead technical workstreams, projects and improvement initiatives.</li>
<li>Collaborate with Systems Administrators, Service Management, Security, Infrastructure Operations and Retail &amp; Endpoint teams to deliver secure and supportable services.</li>
<li>Deputise for the Corporate &amp; Cloud Support Manager on technical matters when required.</li>
</ul><h2 class="jobSectionHeader"><b>Knowledge, Skills and Experience</b></h2>
<h3 class="jobSectionHeader"><b>Technical</b></h3>
<ul><li>Strong experience supporting enterprise Microsoft technologies, including Entra ID, Active Directory, Azure and Remote Desktop Services.</li>
<li>Experience with identity and access management technologies, including authentication, authorisation, single sign-on and access governance.</li>
<li>Experience supporting enterprise backup, recovery and disaster recovery solutions.</li>
<li>Good understanding of security best practices, vulnerability management, platform hardening and operational resilience.</li>
<li>Experience with monitoring, alerting, automation and platform management tools.</li>
<li>Strong PowerShell scripting and automation skills.</li>
</ul><h3 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h3>
<ul><li>Proven experience troubleshooting and resolving complex technical issues across cloud, identity, infrastructure and data protection platforms.</li>
<li>Experience delivering platform improvements, upgrades, migrations and remediation programmes.</li>
<li>Experience leading technical workstreams, projects and continuous improvement initiatives.</li>
<li>Ability to balance operational support, project delivery and strategic improvement activities.</li>
</ul><h3 class="jobSectionHeader"><b>Ways of Working</b></h3>
<ul><li>Strong documentation, governance and operational excellence mindset.</li>
<li>Comfortable working within defined standards, security controls and change management processes.</li>
<li>Experience working collaboratively across technical teams, service management functions and business stakeholders.</li>
<li>Strong organisational skills with the ability to prioritise competing demands effectively.</li>
</ul><h3 class="jobSectionHeader"><b>Personal Attributes</b></h3>
<ul><li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication skills with both technical and non-technical stakeholders.</li>
<li>Proactive, improvement-focused and customer-oriented mindset.</li>
<li>Ability to provide technical leadership, mentoring and knowledge sharing.</li>
<li>Demonstrates ownership, accountability and attention to detail.</li>
<li>Committed to continuous learning and professional development.</li>
</ul><h2 class="jobSectionHeader"><b>What&rsquo;s in it for you?</b></h2>
<p>We offer a variety of competitive benefits, some of which vary depending on the role you&rsquo;re recruited to. Some of what you can expect in this role includes:</p>
<p>A competitive rate of pay and pension contribution ( &pound;50,000 -&pound;55,000)</p>
<p>Generous discretionary bonus schemes, incentives and competitions</p>
<p>An annual leave entitlement that increases with length of service</p>
<p>Access to an online GP 24/7, 365 days a year for you and your immediate family.</p></div><p></p>

Senior Corporate & Cloud Support Engineer

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46 senior data scientist jobs In Manchester

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