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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

Data Engineer

The Co-Operative Bank

<div><div><ul><div><div><div><h2 class="jobSectionHeader">About the role</h2></div>
</div></div><div><div><div><div>We have 5 x Data Engineer opportunities, working in our Data and Analytics Delivery department. The Data Engineers will join the group on a 12-month fixed term contract to focus on the migration and integration of data into our new ecosystem.

The Data Engineer will be designing, developing and testing quality data engineering solutions and will look to challenge and improve our processes, tools and approach. The person in post will undertake review and assurance activity, providing other team members with guidance on design, build and test activity.

Adhering to standard driven code development, the Data Engineer will deliver solutions that meet business needs in a timely manner and will take responsibility for the testing of their solution, including the analysis of requirement, designs of test cases &amp; scripts, preparing test data and creating and executing tests to ensure effective and accurate deliverables.

We operate on a team led hybrid approach with at least 1 day a week in the Coventry or Manchester office.

Our benefits include:
<ul>
<li>28 days holiday a year plus bank holidays and a holiday buy/sell scheme</li>
<li>Annual discretionary bonus scheme</li>
<li>Personal pension with matched contributions</li>
<li>Life assurance (6 times annual salary)</li></ul> 


We reserve the right to close this advert early if we receive a high volume of suitable applications 
</div></div></div></div><div><div><div><h2 class="jobSectionHeader">About you</h2></div>
</div></div><div><div><div><div>You&rsquo;ll either have a Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment.
To be successful in this role it&rsquo;s essential that you will:
<ul>
<li>Have significant experience of AWS, Python, SQL, Git and PySpark</li>
</ul>
Desirable experience needed will be:
<ul>
<li>SISS or SAS experience</li>
<li>Quality Assurance and Test Automation experience</li>
<li>Experience of Database technologies</li>
<li>Experience in Financial Services organisation</li></ul> 
 
</div></div></div></div><div><div><div><h2 class="jobSectionHeader">About us</h2></div>
</div></div><div><div><div><div>In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK&rsquo;s original ethical bank was the start of an exciting journey.

Trusted by over four million people, we&rsquo;re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues.

We&rsquo;re officially recognised as a &lsquo;Great Place to Work&rsquo; and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing.

We&rsquo;re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you&rsquo;ll build more than just a career with us.

Flexibility and why it matters

We understand the need for flexibility, so wherever possible, we&rsquo;ll consider alternative working patterns. Have a chat with us before you</div></div></div></div></ul></div></div>

Data Engineer - AWS

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>

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>

<div><div>About THG

We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.

Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.

From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.

With us, you'll go further, faster. What are you waiting for?</div>
Location: Icon 1, WA15 0AF

About Central Functions

Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.

Why be the Data Engineering Lead at THG?

THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations.

This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep &mdash; setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard.

Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that &mdash; working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.

You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.

What you'll do:

Technical Leadership &amp; Architecture
<ul>
<li>Own the data engineering architecture for THG &mdash; defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains</li>
<li>Design consistent standards and patterns across all three domains &mdash; ensuring shared attributes are handled uniformly and that data can be reliably joined across domains</li>
<li>Lead the evolution of our BigQuery/GCP platform &mdash; driving migrations, modernising legacy pipelines, and building for scalability</li>
<li>Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces</li>
<li>Develop and enforce engineering standards across the team &mdash; version control, testing frameworks, error handling, documentation and code review practices</li>
</ul>
Domain Dataset Development
<ul>
<li>Lead the build-out of structured, reliable domain datasets &mdash; moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms</li>
<li>Work towards the foundations of a single source of truth &mdash; defining how data from different source systems is reconciled, deduplicated and mastered within each domain</li>
<li>Ensure domain datasets are structured for downstream consumption &mdash; analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces</li>
</ul>
AI-Enabled Engineering
<ul>
<li>Champion the use of AI in data engineering &mdash; this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work</li>
<li>Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring</li>
<li>Stay current with AI developments in the data engineering space and bring new approaches into the team's practice</li>
</ul>
Ingenuity Relationship
<ul>
<li>Work closely with the Ingenuity engineering team &mdash; understanding what they provide at the platform layer and building effectively on top of it</li>
<li>Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets</li>
<li>Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains</li>
</ul>
People &amp; Team
<ul>
<li>Manage, coach and develop a team of six domain-aligned engineers &mdash; three Senior Data Engineers and three Data Engineers</li>
<li>Run a structured review and development process for each engineer, building their technical capability and career progression</li>
<li>Foster a culture of engineering excellence, collaboration and continuous improvement</li>
</ul>
What skills and experience do I need for this role?

Essential
<ul>
<li>Hands-on, expert-level experience with BigQuery and GCP &mdash; this is non-negotiable; you must have built and operated production data pipelines on this stack</li>
<li>Strong Python skills &mdash; used daily for pipeline development, data transformation and automation</li>
<li>Experience across at least two of the three core data domains: Customer, Commercial and Operations</li>
<li>A track record of evolving data architecture &mdash; you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data</li>
<li>Deep understanding of data modelling, pipeline design and distributed data architecture</li>
<li>Experience with Dataform or dbt for data transformation</li>
<li>Demonstrated use of AI in data engineering &mdash; AI-assisted pipeline development, automated quality checks, or similar practical applications</li>
<li>Experience mentoring and developing engineers</li>
</ul>
Desirable
<ul>
<li>Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project</li>
<li>Familiarity with data governance principles and working alongside a governance function</li>
<li>E-commerce or retail background</li>
<li>Experience with streaming or real-time data pipelines</li>
</ul>
What's in it for me?

Career Development
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
Enhanced Leave
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
Wellbeing Support
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
Other Perks
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.

THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.

Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.</div></div>

Data Engineering Lead

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 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>
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>

Data Engineer (GCP)

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

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