Qureos Mentor

THG is a global consumer brands group based in Manchester, operating in over 190 markets worldwide. Founded in 2004, the company has grown from a British start-up to a significant player in the beauty and sports nutrition sectors, housing well-known brands such as LOOKFANTASTIC, Cult Beauty, Dermstore, and Myprotein. With a workforce of over 2,500 employees, THG emphasizes a fast-paced environment that encourages innovation and ownership across various fields including marketing, tech, and product development.

<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><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 a Data Engineer at THG?

THG is building the engineering capability that will sit beneath every analytics, data science and AI initiative across the business. As a Data Engineer within our Engineering &amp; Governance pillar, you will work within one of three domain-aligned engineering teams &mdash; Customer, Commercial or Operations &mdash; helping to build and evolve the structured domain datasets that the business depends on.

This is an early-career role with real responsibility. You will be working alongside a Senior Data Engineer and Engineering Lead on some of THG's most important data challenges: consolidating fragmented data sources, building reliable pipelines, and moving the business towards a consistent, trustworthy foundation for how we manage our data.

We are not looking for someone who has done this all before &mdash; we are looking for someone technically capable, curious, and genuinely motivated by the craft of data engineering. If you want to build things that matter and develop quickly in a fast-moving environment, this is the right role.

What you'll do:

Pipeline Development
<ul>
<li>Build and maintain data pipelines within your domain &mdash; extracting, transforming and loading data from source systems into structured domain datasets in BigQuery</li>
<li>Work to the architectural patterns and standards set by the Engineering Lead &mdash; applying consistent approaches to how data is ingested, transformed and stored</li>
<li>Support the migration of existing pipelines from legacy on-prem SQL Server infrastructure to BigQuery and Dataform</li>
<li>Apply version control (Git) as standard practice &mdash; all code is reviewed, documented and maintained properly</li>
</ul>
Domain Dataset Development
<ul>
<li>Contribute to the build-out of your aligned domain dataset &mdash; helping to consolidate disparate data sources into a structured, reliable and well-documented data asset</li>
<li>As an example in the Customer domain: working towards the foundations of a unified customer dataset, bringing together data from multiple source systems into a consistent, queryable structure</li>
<li>In Commercial: building and maintaining the datasets that power category, brand and trading analytics &mdash; ensuring consistency in how commercial data is structured and stored</li>
<li>In Operations: developing the data pipelines and structures that support supply chain, logistics and fulfilment analytics</li>
<li>Identify and flag data quality issues within your domain &mdash; working with the Data Governance Lead on standards and resolution</li>
</ul>
Collaboration
<ul>
<li>Work closely with your Senior Data Engineer and the Engineering Lead &mdash; asking questions, learning fast and contributing to the team's technical decisions</li>
<li>Engage with analytics and data science teams who consume your domain's data &mdash; understanding their requirements and ensuring what you build is useful</li>
<li>Participate in code reviews &mdash; both having your work reviewed and, as you develop, reviewing others</li>
<li>Use AI tools effectively to accelerate your development work &mdash; we expect AI-assisted coding and pipeline development to be part of how the team works</li>
</ul>
What skills and experience do I need for this role?

Essential
<ul>
<li>Solid SQL skills &mdash; able to write intermediate to advanced queries and comfortable working with relational databases</li>
<li>Python &mdash; working knowledge sufficient for data manipulation, scripting and pipeline development</li>
<li>A genuine passion for data engineering &mdash; you find the challenge of getting data right genuinely interesting</li>
<li>Attention to detail and a methodical approach &mdash; data engineering is unforgiving of sloppiness</li>
<li>Eagerness to learn &mdash; this role will develop quickly and we want someone who grabs that opportunity</li>
</ul>
Desirable
<ul>
<li>Exposure to BigQuery, Dataform or equivalent cloud data tools</li>
<li>Familiarity with version control (Git)</li>
<li>Experience with or understanding of data pipeline design patterns</li>
<li>Degree in Computer Science, Mathematics, Engineering or a related discipline</li>
<li>Any experience applying AI tools in a technical context</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 Engineer

<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&rsquo;re powered by a team of over 2500 people who work together, lead by example, and think BIG.
 
 
 With us, you&rsquo;ll go further, faster. What are you waiting for?
 
 
 
 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 a Data Engineer at THG?
 
 
 
 THG is building the engineering capability that will sit beneath every analytics, data science and AI initiative across the business. As a Data Engineer within our Engineering &amp; Governance pillar, you will work within one of three domain-aligned engineering teams &mdash; Customer, Commercial or Operations &mdash; helping to build and evolve the structured domain datasets that the business depends on.
 
 
 This is an early-career role with real responsibility. You will be working alongside a Senior Data Engineer and Engineering Lead on some of THG's most important data challenges: consolidating fragmented data sources, building reliable pipelines, and moving the business towards a consistent, trustworthy foundation for how we manage our data.
 
 
 We are not looking for someone who has done this all before &mdash; we are looking for someone technically capable, curious, and genuinely motivated by the craft of data engineering. If you want to build things that matter and develop quickly in a fast-moving environment, this is the right role.
 
 
 
 What you'll do:
 
 
 
 
 Pipeline Development
 
 
 
 <ul>
 <li>
 Build and maintain data pipelines within your domain &mdash; extracting, transforming and loading data from source systems into structured domain datasets in BigQuery
 </li>
 <li>
 Work to the architectural patterns and standards set by the Engineering Lead &mdash; applying consistent approaches to how data is ingested, transformed and stored
 </li>
 <li>
 Support the migration of existing pipelines from legacy on-prem SQL Server infrastructure to BigQuery and Dataform
 </li>
 <li>
 Apply version control (Git) as standard practice &mdash; all code is reviewed, documented and maintained properly
 
 
 </li>
 </ul>
 
 Domain Dataset Development
 
 
 
 <ul>
 <li>
 Contribute to the build-out of your aligned domain dataset &mdash; helping to consolidate disparate data sources into a structured, reliable and well-documented data asset
 </li>
 <li>
 As an example in the Customer domain: working towards the foundations of a unified customer dataset, bringing together data from multiple source systems into a consistent, queryable structure
 </li>
 <li>
 In Commercial: building and maintaining the datasets that power category, brand and trading analytics &mdash; ensuring consistency in how commercial data is structured and stored
 </li>
 <li>
 In Operations: developing the data pipelines and structures that support supply chain, logistics and fulfilment analytics
 </li>
 <li>
 Identify and flag data quality issues within your domain &mdash; working with the Data Governance Lead on standards and resolution
 
 
 </li>
 </ul>
 
 Collaboration
 
 
 
 <ul>
 <li>
 Work closely with your Senior Data Engineer and the Engineering Lead &mdash; asking questions, learning fast and contributing to the team's technical decisions
 </li>
 <li>
 Engage with analytics and data science teams who consume your domain's data &mdash; understanding their requirements and ensuring what you build is useful
 </li>
 <li>
 Participate in code reviews &mdash; both having your work reviewed and, as you develop, reviewing others
 </li>
 <li>
 Use AI tools effectively to accelerate your development work &mdash; we expect AI-assisted coding and pipeline development to be part of how the team works
 
 
 </li>
 </ul>
 
 What skills and experience do I need for this role?
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Solid SQL skills &mdash; able to write intermediate to advanced queries and comfortable working with relational databases
 </li>
 <li>
 Python &mdash; working knowledge sufficient for data manipulation, scripting and pipeline development
 </li>
 <li>
 A genuine passion for data engineering &mdash; you find the challenge of getting data right genuinely interesting
 </li>
 <li>
 Attention to detail and a methodical approach &mdash; data engineering is unforgiving of sloppiness
 </li>
 <li>
 Eagerness to learn &mdash; this role will develop quickly and we want someone who grabs that opportunity
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Exposure to BigQuery, Dataform or equivalent cloud data tools
 </li>
 <li>
 Familiarity with version control (Git)
 </li>
 <li>
 Experience with or understanding of data pipeline design patterns
 </li>
 <li>
 Degree in Computer Science, Mathematics, Engineering or a related discipline
 </li>
 <li>
 Any experience applying AI tools in a technical context
 
 
 </li>
 </ul>
 
 What&rsquo;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&rsquo;t want to work on your birthday? We don&rsquo;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>
 
 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>

Join THG and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

THG

About Company

Data Engineering Lead

Data Engineer

Data Engineer