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senior data engineer

Hippo Digital Limited

About The Role 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. 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. 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. 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. 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. Your Role in a Nutshell Lead the production of user-centred data software based on business requirements and best practice. Work collaboratively with colleagues to explore, design and deliver innovative solutions to complex client problems. Maintain and grow client relationships, troubleshooting complex issues through collaboration. Design and manage software development and deployment pipelines, resolving potential bottlenecks before they occur. Communicate and present prototypes, solutions, and progress to internal and external stakeholders in a clear, concise manner. Build great relationships with your team and stakeholders, ensuring that systemic challenges are overcome. Mentoring and coaching other engineers to support their professional development. Promote Hippo&rsquo;s Data Herd internally and externally through blogs, case studies, and workshops. Skills and experience that you need Essential Experience Excellent experience delivering in Python and experience with at least one other core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different data formats, e.g., CSV, JSON and XML. Expert knowledge in building reliable and scalable Data Pipelines. Deep experience working in an Agile Environment. Proficiency in Test-Driven Development (TDD) or Behaviour Driven Development (BDD). Strong experience with Continuous Integration and Continuous Deployment (CI/CD). Experience mentoring and coaching others on technical best practices. Desirable Experience Previous experience of working on GOV/NHS projects or in a consultancy environment. Experience in Data Modelling. Broader knowledge of IT &mdash; e.g., Security and Networking. What makes us great 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: Contributory Pension Scheme (Hippo 6% &amp; Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo 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. 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. Hi, we&rsquo;re Hippo 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. 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. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. 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! Hippo Locations 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. Work Location: Hybrid remote in Manchester M2 1DH

Senior Data Engineer

Raytheon

<div>Date Posted:
2026-03-18
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
We have opportunities for Data Engineers at every level within a team, so your Recruiter will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to currently hold eDV clearance.
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.
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 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</li><li>
Storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li><li>
Use of Code repositories, familiarity with branching strategies, pull requests and merge processes</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
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>

Frontier Resourcing

<div><div>Senior Data Engineer &ndash; eDV Cleared
 
Locations: Manchester, Gloucester or London (Full-Time, Permanent, Onsite)
We are partnering with a leading defence and technology organisation to recruit an experienced Senior Data Engineer to join their highly specialised engineering teams across Manchester, Gloucester or London.
This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence.
As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing, building and maintaining scalable data platforms and processing pipelines. You will work alongside software engineers, architects and stakeholders to transform and optimise data for advanced analytical and operational use.
The team is actively hiring Data Engineers across multiple levels, offering opportunities for both experienced professionals seeking technical leadership and individuals looking to further develop their expertise within a high-performing engineering function.
*Please note: Due to the nature of the work, candidates must hold current and active eDV (Enhanced Developed Vetting) clearance.
Key Responsibilities
<ul><li>Design, develop and maintain robust data pipelines to ingest, clean, transform and aggregate data from a variety of sources.
</li><li>Collaborate closely with engineers, technical leads and stakeholders to deliver project objectives.
</li><li>Support the successful delivery of project milestones within Agile teams.
</li><li>Contribute to continuous improvement initiatives, engineering best practices and team capability development.
</li><li>Influence technical direction and contribute to architectural and design decisions.
</li></ul>Required Skills &amp; Experience
<ul><li>Strong analytical skills with experience working with large-scale and unstructured datasets.
</li><li>Python development experience, including technologies such as PySpark, Pandas and PyArrow.
</li><li>Expertise in distributed data processing frameworks, particularly Apache Spark.
</li><li>Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi.
</li><li>Cloud platform experience across AWS, Azure and/or GCP.
</li><li>Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services.
</li><li>Strong understanding of SQL and NoSQL databases.
</li><li>Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch, S3 and Data Lake architectures.
</li><li>Containerisation and orchestration experience using Docker, Kubernetes and/or OpenShift.
</li><li>Knowledge of testing frameworks, engineering standards and software development best practices.
</li><li>Experience working with source control systems, branching strategies, pull requests and code review processes.
</li></ul>What's on Offer
<ul><li>Opportunity to work on highly secure, cutting-edge programmes with real-world impact.
</li><li>Exposure to advanced technologies across AI, machine learning, cyber security and data engineering.
</li><li>Structured training and development support to help broaden your technical capabilities.
</li><li>Clear progression opportunities within a growing and highly regarded engineering function.
</li><li>Collaborative Agile environment working alongside some of the industry's leading technical specialists.
</li></ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on top 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>If you're an eDV-cleared Data Engineer looking to work on some of the UK's most challenging and rewarding technology programmes, we'd be keen to discuss this opportunity further.</div></div>

Senior Data Engineer (eDV)

CreateFuture

<div>Who we are

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. 


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. 


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.

Join us on our journey&hellip; Let's create something awesome, together, today.

About the role and team:
<h1 class="jobSectionHeader">
About the role and team</h1>

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.

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.

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. 

<h1 class="jobSectionHeader">
What you'll be doing</h1>
<h2 class="jobSectionHeader">Technical leadership</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> 

<h2 class="jobSectionHeader">
Delivery</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> 

<h2 class="jobSectionHeader">
Practice and people</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> 

<h2 class="jobSectionHeader">
Commercial</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> 

<h1 class="jobSectionHeader">
What we're looking for</h1>
<h2 class="jobSectionHeader">Deep iGaming domain expertise</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> 

<h2 class="jobSectionHeader">
AWS data engineering mastery</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> 

<h2 class="jobSectionHeader">
Engineering excellence</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> 

<h2 class="jobSectionHeader">
Consultancy and leadership</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> 

<h1 class="jobSectionHeader">
Tech snapshot</h1>
<div>
<div><div><div>Primary cloud</div><div> 

AWS &mdash; Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA</div></div><div> 
<div>
Streaming</div><div> 

AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming</div></div><div> 
<div>
Languages</div><div> 

Python, SQL, Spark</div></div><div> 
<div>
Pipeline tools</div><div> 

dbt, Airflow / AWS MWAA, AWS Glue</div></div><div> 
<div>
Platforms</div><div> 

Databricks, Snowflake, Amazon Redshift</div></div><div> 
<div>
Data quality</div><div> 

Great Expectations, dbt tests, reconciliation frameworks, data observability tooling</div></div><div> 
<div>
IaC / DevOps</div><div> 

Terraform, AWS CDK</div></div><div> 
<div>
Certification</div><div> 

AWS Professional or Specialty level strongly preferred
</div>
</div> 
</div></div><div><h3 class="jobSectionHeader">What we'll offer you:</h3>

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. 
 
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.

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.
<h3 class="jobSectionHeader">
Our hiring process</h3>

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.

It usually looks like this:
<ul>
<li>Call with our Talent Acquisition Team</li>
<li>Role specific capability interview</li>
</ul>
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.
<h3 class="jobSectionHeader">
Inclusion at CreateFuture</h3>

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.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!</div></div>

Principal Data Engineer

<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

<div>
 
 Job Description
 
 
 
 
 Senior Associate, AI/ML Engineer &ndash; AI Hub
 
 
 
 At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
 
 
 Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what is all about. Join us and be part of something extraordinary.
 
 
 We&rsquo;re seeking a future team member for the role of
 
 Senior Associate, AI/ML Engineer &ndash; AI Hub
 
 to join our
 
 AI
 
 Hub team. This role is located in
 
 Manchester.
 
 
 
 
 Why This Role (for Hands-on Builders)
 
 
 
 <ul>
 <li>
 Autonomy to build and ship real components that go into production.
 </li>
 <li>
 Work on AI capabilities that matter to global financial operations.
 </li>
 <li>
 Solve practical, high rigor problems where reliability counts.
 </li>
 <li>
 Bring strong engineering craft and clear evaluation habits.
 </li>
 <li>
 Join an experienced team and learn from senior architects and data scientists.
 </li>
 <li>
 Own the quality of what you build&mdash;tested, observable, and robust.
 
 
 </li>
 </ul>
 In this role, you&rsquo;ll make an impact in the following ways:
 
 
 <ul>
 <li>
 Build and integrate AI/ML components on BNY&rsquo;s AI platform ELIZA: data pipelines, retrieval/inference workflows, evaluation scripts, automation steps.
 </li>
 <li>
 Translate requirements into implementation details, test plans, and sprint ready tasks.
 </li>
 <li>
 Collaborate with Data Scientists to validate outputs, improve quality, and prepare for production.
 </li>
 <li>
 Debug APIs, data flows, prompts, and workflow breakpoints with strong observability.
 </li>
 <li>
 Participate in solution design sessions; align implementations to secure, reference architectures.
 </li>
 <li>
 Prepare demos; contribute to client/internal workshops; document clearly.
 
 
 </li>
 </ul>
 To be successful in this role, we&rsquo;re seeking the following:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in AI, Computer Science, Engineering, Data Science, or equivalent experience.
 </li>
 <li>
 Hands on engineering experience in ML/AI, software, or data engineering.
 </li>
 <li>
 Proficiency in Python; familiarity with REST/GraphQL, vector stores, RAG basics, evaluation tooling.
 </li>
 <li>
 Experience in agile/pod teams with strong documentation and collaboration habits.
 </li>
 <li>
 No people leadership (individual contributor role).
 
 
 </li>
 </ul>
 At BNY, our culture speaks for itself, check out the latest BNY news at:
 
 
 BNY Newsroom
 
 
 BNY LinkedIn
 
 
 
 Here&rsquo;s a Few Of Our Recent Awards
 
 
 
 <ul>
 <li>
 America&rsquo;s Most Innovative Companies, Fortune, 2025
 </li>
 <li>
 World&rsquo;s Most Admired Companies, Fortune 2025
 </li>
 <li>
 &ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025
 
 
 </li>
 </ul>
 
 Our Benefits And Rewards
 
 
 
 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
 
 
 BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
</div>

Senior Specialist, AI/ML Engineer - AI Hub

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>

Artificial Intelligence Engineer

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