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TRADER Corporation

<div><div><h3 class="jobSectionHeader">About us</h3>

You've probably heard of Autotrader, but do you know what we're all about?

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.

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. 
 
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.

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
<h3 class="jobSectionHeader">
About the job</h3>

We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.

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.

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.

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.

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): 
 
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. 
<h3 class="jobSectionHeader">
What we're looking for</h3>

We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:
<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>
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.
<h3 class="jobSectionHeader">
Benefits</h3>

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.

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.

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.

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.

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.

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.</div></div>

Senior Data Scientist

bet365

<div>Company Description 
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.
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.
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. 
Job Description 
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.
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.
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.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<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> 

Additional Information 
<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>
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

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.</div>

Lead Data Scientist, Sports

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

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.

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.

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).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
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.

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.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<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>Essential Skills &amp; Experience
<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>Desirable Skills &amp; Experience
<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>What's on Offer
<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>Benefits:
<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)

Obsidian Security

<div><div>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Data Engineer at Obsidian, you'll:
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader">What's in it for you</h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader">Required Skills and Experience:</h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader">Desirable Experience</h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

Raytheon

<div>Date Posted:
2026-03-17
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite.
Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team.
We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Skills and Experience<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li></ul>
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.<div>
Benefits &amp; Work Culture
Benefits:<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>
Work Culture:<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> 
About us
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.
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. 
 
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.
RTX 
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. 
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.
#LI-AS3
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.
Privacy Policy and Terms:</div>

Agile Automations Ltd.

Position: Data Engineer Location: Remote / UK based Hours: Full-time, 37.5 hours per week, Monday to Friday Contract: 12-month fixed-term contract with potential to become permanent Salary / Day Rate: Competitive, based on experience Start Date: As soon as possibleImportant: Please only apply for this role if you are currently based in the UK.ROLEAgile Automations Ltd is a well-established, high-growth company made up of industry-leading, creative and professional business individuals who take pride in delivering high-quality technology solutions for our clients.We work with organisations to design, build and support intelligent automation, integration, software and data-led solutions that improve business processes, reduce manual effort and create better visibility across operations.Due to a new 12-month client engagement, we are looking to recruit an experienced Data Engineer to join Agile Automations and support the delivery of data engineering services for a long-standing financial services client.This role would suit a highly capable Data Engineer with strong experience in designing, building, operationalising and supporting scalable data pipelines, data stores and integration solutions. The successful candidate will be comfortable working in a structured client environment, communicating clearly with stakeholders, producing high-quality documentation and taking ownership of technical delivery.You will need strong written and verbal communication skills, be self-motivated, organised and able to manage your own work schedule. You should be confident working with business, analytics and technology teams to translate requirements into practical, reliable and well-documented data solutions.RESPONSIBILITIES<ul><li>Design, develop, test and maintain data architecture across multiple application platforms.</li><li>Build, optimise and operationalise ETL/ELT data pipelines across structured and unstructured data sources.</li><li>Develop and maintain data integration solutions and APIs.</li><li>Manage data ingestion, transformation and delivery pipelines into production environments.</li><li>Support data accessibility, optimisation and downstream data consumption.</li><li>Define and support conceptual, logical and physical data models to meet business and analytics requirements.</li><li>Ensure data integrity, accuracy and consistency across systems.</li><li>Implement data quality controls, traceability and versioning processes.</li><li>Perform root cause analysis and support continuous optimisation of data processes.</li><li>Support data migration activities across databases, systems and environments.</li><li>Define and implement scalable data storage solutions and architectures.</li><li>Identify opportunities for process improvement, automation and reduced manual intervention.</li><li>Work closely with business, analytics and technology stakeholders to understand requirements and deliver practical solutions.</li><li>Produce clear technical documentation, solution design artefacts and process documentation.</li><li>Support knowledge transfer to internal and client teams.</li><li>Provide regular progress updates, including risks, assumptions, issues and dependencies.</li><li>Work in line with agreed architecture, governance, data protection, security and risk requirements.</li></ul>ESSENTIAL SKILLS / EXPERIENCE<ul><li>Significant experience in data engineering or a closely related discipline.</li><li>Strong experience building and optimising data pipelines, data architectures and data sets.</li><li>Experience with data integration, warehousing and reporting solutions.</li><li>Strong database programming experience, particularly SQL.</li><li>Experience with ETL/ELT tools, processes and best practice.</li><li>Experience developing APIs and system integration solutions.</li><li>Good understanding of the data lifecycle, integration patterns and system design.</li><li>Experience working with data quality, data integrity, traceability and governance requirements.</li><li>Ability to write clear technical documentation and communicate technical concepts effectively.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent attention to detail and a quality-focused approach.</li><li>Ability to work independently while collaborating effectively with wider project teams.</li><li>Strong stakeholder management skills within IT or data-led environments.</li></ul>DESIRABLE SKILLS / EXPERIENCE<ul><li>Experience working in financial services, banking, regulated environments or enterprise IT environments.</li><li>Experience with cloud-based or big data environments, including AWS or similar platforms.</li><li>Experience with Spark, PL/SQL or similar database / data engineering technologies.</li><li>Experience with big data frameworks and pipeline orchestration tools.</li><li>Experience supporting production data platforms and monitoring pipeline performance.</li><li>Experience contributing to data standards, governance processes or best practice documentation.</li><li>Experience working in Agile or structured delivery environments.</li></ul>QUALIFICATIONS<ul><li>A relevant Bachelor&rsquo;s Degree or equivalent professional qualification / experience in one or more of the following areas would be preferred:</li><li>Information Technology</li><li>Data Management</li><li>Data Science</li><li>Business Analytics</li><li>Computer Science</li><li>A related technical discipline</li></ul>WHAT WE ARE LOOKING FORWe are looking for someone who is technically strong, reliable, practical and professional.The successful candidate should be able to take ownership of data engineering tasks, work to agreed priorities, communicate clearly with stakeholders and produce work to the high standards our clients expect.This role requires someone who can combine strong technical delivery with clear documentation, good judgement and professional communication.BENEFITSCompetitive salary or day rate, based on experience.Flexible remote working.Opportunity to work on a long-term client engagement.Potential to move into a permanent role with Agile Automations.Support from an experienced Agile Automations delivery team.Opportunity to work in a professional, regulated client environment.Training, support and career development opportunities where appropriate.DIVERSITY AND EQUAL OPPORTUNITY POLICY STATEMENTAgile Automations Ltd is committed to supporting, developing and promoting diversity and equality in all its employment practices and activities. We aim to establish an inclusive culture free from discrimination and based on the values of fairness, dignity and respect.Agile Automations Ltd values diversity and recognises that the organisation is greatly enhanced by the different range of backgrounds, experiences, views, beliefs and cultures represented within its staff.Agile Automations Ltd expects all employees, contractors and agency staff to act in accordance with this policy.JOB TYPEFull-time12-month fixed-term contract with potential to become permanentRemote workingHOW TO APPLYPlease apply with an up-to-date CV showing your relevant data engineering experience, technical skills and recent project work.Shortlisted candidates may be asked to provide further details of relevant project experience before being submitted for client consideration.Job Types: Full-time, Contract, Permanent Contract length: 12 monthsPay: From &pound;40,000.00 per yearBenefits:<ul><li>Casual dress</li><li>Company events</li><li>Company pension</li><li>Private medical insurance</li><li>Referral programme</li><li>Work from home</li></ul>Application question(s):<ul><li>Are you currently located in the UK and have a valid permit to work in the UK with more than 1 year remaining?</li></ul>Experience:<ul><li>Data Engineering: 5 years (preferred)</li></ul>Work Location: In person

<div>Company Description 
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. 
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. 
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. 
Job Description 
As a Data Engineer, you will play a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP).
The Regulatory Data team is a crucial function of the Data Engineering department, responsible for building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements. The team utilises complex Business logic to transform internal data models into those required by industry regulators and third parties.
Using your passion for delivering innovative solutions you will support our continued migration from on-premise SQL Server systems to GCP as the team creates new GCP reporting systems
You will support this migration while also developing new cloud-native solutions and exploring AI-driven development and automation to improve efficiency, consistency and reliability across the team's processes. 
Qualifications 
<ul><li>
Experience with Google BigQuery.</li><li>
SQL development experience, with the ability to write complex queries, stored procedures, and performance-tune data-intensive workloads.</li><li>
Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer.</li><li>
Experience with data pipeline development (ETL/ELT) and orchestration tooling.</li><li>
Exposure to Infrastructure as Code such as Terraform, and CI/CD pipelines such as Git, GitLab.</li><li>
Methodical, with high attention to detail and the ability to break down complex requirements into simple solutions.</li><li>
Interest in AI-assisted development tooling, such as Claude Code.</li><li>
Ability to work to deadlines in a fast-paced, reactive environment.</li><li>
SQL Server experience to support legacy systems during migration.</li></ul> 

Additional Information 
<ul><li>
Developing and maintaining regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery.</li><li>
Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data.</li><li>
Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling.</li><li>
Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions.</li><li>
Leveraging AI tooling, such as Claude Code, and contributing to the team's automation strategies to reduce manual effort and improve quality.</li><li>
Participating in code reviews and adhere to departmental standards and the development process.</li><li>
Conducting QA to ensure solutions are accurate, efficient, and performant.</li><li>
Creating and maintaining relevant documentation.</li><li>
Collaborating with other team members to deliver high-quality solutions within required timeframes.</li></ul><div></div>
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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.</div>

Data Engineer (GCP)

Explore 35+ Data scientist in Manchester this July. Find roles across top companies and apply now to boost your career.

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Data Engineer (GCP)