data technical lead

Blackburn with Darwen Council

<div></div><div><div><div>Job description</div><div><p><b>
Department: Chief Execs</b><br>
<b>Terms and Conditions: 37 hrs per week, Permanent</b><br>
<b>Closing date: 19th July 2026</b><br>
<b>Interview date: TBC</b></p>
<p></p>
<p><b>Lead Data Engineer &ndash; Data &amp; Platforms</b></p>
<p><b>
IT Services | Grade I</b></p>
<p>
Are you passionate about data, analytics and ready to lead a team that keeps critical services running while shaping what comes next?</p>
<p>
We&rsquo;re looking for an experienced Lead Systems Engineer to take a leading role in our Data and Platform services, combining hands on technical expertise with people leadership and strategic thinking. This is a fantastic opportunity to influence how data services are delivered across a large, complex organisation and to help drive improvements that genuinely make a difference.</p>
<p><b>
About the role</b></p>
<p>
As our Lead Data Engineer, you&rsquo;ll provide senior technical leadership across our IT estate, with a strong focus on data platforms and services, working alongside servers, networks and security. You&rsquo;ll act as the senior escalation point for complex issues, lead service improvements, and work closely with architects to ensure our data and infrastructure platforms are secure, resilient and fit for the future.</p>
<p>
You&rsquo;ll also manage and mentor a small team of Engineers / Analysts, supporting their development while ensuring high quality, reliable services are delivered day to day.</p>
<p><b>
What you&rsquo;ll be doing</b></p>
<ul>
<li>Leading the operational delivery and continuous improvement of data platforms and the supporting infrastructure, ensuring services are secure, resilient and high performing</li>
<li>Providing expert level escalation for 3rd line support, acting as the final escalation point for complex technical issues</li>
<li>Managing and developing a team of Engineers/Analysts, coordinating workloads and supporting progression</li>
<li>Working closely with the Architecture Team to align data services with strategic IT direction</li>
<li>Leading the technical delivery of data related projects, from planning through to transition into support</li>
<li>Ensuring services meet agreed SLAs, KPIs and service standards</li>
<li>Maintaining high standards of documentation, governance and security compliance</li>
<li>Building strong relationships with internal stakeholders, suppliers and senior leaders</li>
</ul>
<p><b>What we&rsquo;re looking for</b></p>
<p>
You&rsquo;ll bring a strong background in enterprise data platforms, with the confidence to lead both technically and professionally. You&rsquo;ll enjoy mentoring others, solving complex problems, and working collaboratively to deliver robust IT services.</p>
<p>
You&rsquo;ll also align with our organisational values of <b>Trust, Respect, Ambition, Collaboration and Kindness</b>, and bring these to life through your leadership style and ways of working.</p>
<p><b>
Why join us?</b></p>
<ul>
<li>A chance to shape and lead the Data area of IT, influencing platforms that underpin critical services</li>
<li>A leadership role with real scope to improve services and develop people</li>
<li>Opportunities to work closely with architecture and senior stakeholders on enterprise-wide initiatives</li>
<li>A supportive environment that values collaboration, learning and continuous improvement</li>
</ul>
<p><b>Additional information</b></p>
<p>
This role includes participation in an on-call rota and out-of-hours support for critical events when required. Due to safeguarding responsibilities, a DBS check will be required as part of the recruitment process.</p>
<p><b>
For further information please contact Darren Aggett , at </b><b>Darren.Aggett@blackburn.gov.uk</b></p></div></div></div><p></p>
<br><div><div><h2 class="jobSectionHeader"><b>Job details</b></h2>
</div><div><div>Job reference</div><div>
REQ05120
</div><div>Date posted</div><div>
16/06/2026
</div><div>Application closing date</div><div>
19/07/2026
</div><div>Location</div><div>
Blackburn with Darwen
</div><div>Salary</div><div>
Grade I, SCP 34-38 Salary &pound;45,091 - &pound;49,282 per annum
</div><div>Package</div><div>
Blank
</div><div>Contractual hours</div><div>
37
</div><div>Basis</div><div>
Full time
</div><div>Job category/type</div><div>
Council</div></div></div><div></div>

Lead System Engineer - Data Engineer

Selfridges

<div>Job Introduction
<div>
Here at Selfridges our customers are at the heart of everything we do, and we want to be known for delivering the best, most extraordinary experiences that keep our customers coming back. We are on a journey to build flexible, innovative technology platforms that create inspiring and effortless experiences across all our customer touchpoints.</div><div></div><div><br>
Our Engineering team plays a central role in shaping these digital experiences, our e-commerce and digital platforms are central to creating innovative, customer-centric experiences. As we grow, we are looking for talented, curious individuals to join us, bring their unique perspectives, and help reimagine our digital platforms to new heights.</div><div></div><div><br>
This is a hybrid role working from home and our offices in either London or Leicester.</div><p>
A bit about the role</p><div>
We&rsquo;re looking for a Tech Lead to help evolve Selfridges&rsquo; Enterprise Data Platform (EDP), the foundation that powers insights, personalisation, and data-driven decision-making across the business.</div><div></div><div><br>
In this role, you&rsquo;ll be a leader in shaping the technical direction for our Snowflake-based data ecosystem while supporting the Architecture function. You&rsquo;ll work across Python, AWS, and Salesforce Data Cloud, helping to design, build, and optimise the pipelines and integrations that connect our digital, store, and enterprise systems.</div><div></div><div><br>
Alongside your technical delivery, you&rsquo;ll indirectly manage a team of engineers, helping them grow their skills and ensuring best practices are embedded across the team. You&rsquo;ll collaborate closely with architects, analysts, and product teams to deliver secure, performant, and scalable data solutions that enable world-class experiences for our customers.</div><div></div><p><br>
Key Responsibilities</p><ul><li>
Lead and contribute to defining the technical direction and standards of the Enterprise Data Platform in collaboration with architecture and engineering leads</li><li>
Support the Architecture function in designing scalable data models and integration patterns</li><li>
Lead by example through hands-on design and development ofdata pipelines in Python,SQL, and AWS services(Lambda, Glue, Step Functions, S3)</li><li>
Help evolve and maintain the Snowflake environment, focusing on optimisation, governance, and performance</li><li>
Collaborate on integrations between Snowflake, Salesforce, and enterprise systems, including future Salesforce Data Cloud enablement</li><li>
Partner with Power BIand analytics teams to ensure data reliability and accessibility for dashboards, insights, and reporting</li><li>
Work with DevOps and Platform Engineering to enhance CI/CD, observability, and automation practices for data workloads</li><li>
Drive a strong focus ondata quality,reusability, andperformanceacross all ingestion and transformation layers</li><li>
Collaborate across squads and domains to align data platform delivery with Selfridges&rsquo; wider digital and customer experience strategies</li></ul><div></div><p><br>
A bit about you</p><ul><li>
Experienced data engineer or technical lead, ideally with previous line management or mentorship experience as you will in directly manage teams</li><li>
Strong hands-on experience with Snowflake and AWS data services(Lambda, Glue, Step Functions, S3, SNS/SQS)</li><li>
Proficient in Python and SQL, building reliable and maintainable ETL/ELT pipelines</li><li>
Solid understanding of data modelling(dimensional, star schema, or modern data mesh concepts)</li><li>
Experience integrating with Salesforce (CRM, APIs, or Data Cloud)</li><li>
Familiar with Power BI or similar BI tools for downstream analytics and reporting</li><li>
Knowledge of CI/CD,infrastructure as code(Terraform or CDK), and modern observability tooling</li><li>
Skilled communicator and collaborator, able to work effectively with architects, product managers, and cross-functional teams</li><li>
Passionate about engineering excellence,team development, and delivering data solutions that drive real business impact</li><li>
Enthusiastic about mentoring and supporting engineers&rsquo; growth, with a track record of building high-performing teams</li></ul><div></div><p><br>
Desirable</p><ul><li>
Experience with dbt, Airflow, or Dagster</li><li>
Familiarity with event-driven architectures(EventBridge, Kafka, SNS/SQS)</li><li>
Exposure to data governance,security, and compliance frameworks</li><li>
Background inretail, loyalty, or customer data platforms</li><li>
Experience working with or implementingSalesforce Data Cloudintegrations</li><li>
Awareness ofAI/ML data readinesspractices, including feature engineering, dataset curation, and model-serving pipelines</li><li>
Familiarity withSnowflake Cortex,AWS Bedrock, or other cloud-native AI/ML services for data enrichment and automation</li><li>
Interest in emergingGenAI and LLMuse cases for personalisation, recommendation systems, and intelligent automation</li></ul></div>

Data Tech Lead

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
We are seeking a Technical Lead to join our Data, Analytics &amp; AI team within a professional services environment. The successful candidate will provide technical leadership for the design and delivery of capabilities supporting the firm&rsquo;s cloud data platform, Datacore.</p><p>
Operating across Microsoft Fabric, Azure Databricks and wider Azure services, the role will help federated and client-facing teams adopt Datacore safely, consistently and effectively. The Technical Lead will work closely with data architects, platform teams, and delivery teams to translate architectural principles into platform capabilities, implementation patterns, reusable technical standards and utilise Datacore.</p><p>
The role requires strong cloud data engineering expertise, practical delivery leadership and the ability to enable teams across the firm. It will help ensure that client teams can build scalable, secure, observable and auditable data products, while driving platform evolution through reusable patterns, technical innovation, efficiency improvements, and catalogued approaches for wider adoption.</p><p>
You&rsquo;ll make an impact by:</p><ul><li>
Providing technical leadership for the design and delivery of Datacore platform capabilities, cloud data services and reusable engineering patterns</li><li>
Supporting client-facing teams in adopting Datacore safely and consistently across their development of new data products and services</li><li>
Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publication</li><li>
Defining and promoting controlled engineering practices across Datacore assets, including source control, development, testing, deployment, validation and support</li><li>
Identifying opportunities to improve Datacore capability, efficiency, lineage, discovery, automation, observability, and cost effectiveness</li><li>
Working closely with data architects, technical teams, business partners, and internal stakeholders to align technical delivery with business priorities</li></ul><p><b><br>
What we are looking for:</b></p><p>
We value diverse experiences and perspectives. Here&rsquo;s what we&rsquo;re looking for in our ideal candidate:</p><ul><li>
Significant experience in cloud data engineering, data platform delivery or data product implementation within an enterprise environment</li><li>
Strong practical understanding of Microsoft Fabric, Azure Databricks, Azure data services or equivalent cloud data platform technologies</li><li>
Proven ability to translate architectural principles into implementation patterns, technical standards and development work packages</li><li>
Experience designing and delivering scalable, secure and supportable data products or cloud data services</li><li>
Strong understanding of lakehouse architecture, medallion patterns, data ingestion, transformation, orchestration and data publication</li><li>
Experience supporting federated or distributed delivery teams through technical guidance, design review, enablement and reusable delivery patterns</li><li>
Strong communication skills, with the ability to explain technical decisions, risks and trade-offs to technical and non-technical stakeholders</li><li>
Hands-on technical credibility in relevant data engineering technologies such as SQL, Python, Spark, notebooks, orchestration tools, APIs and cloud data platforms</li></ul><p><b>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid and Flexible working
</li><li>26 Days Holiday (with the option of purchasing additional days)
</li><li>Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
<p></p>
#LI-AE1<br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Technical Lead – Datacore

Barclays

<div><div><p>Date live: 25/06/2026</p>
 <p>Business Area: Private Bank Processing</p>
 <p>Area of Expertise: Technology</p>
 <p>Contract: Permanent</p>
 <p>Reference Code: JR-0000116143</p></div></div>
<br><div><p>Join Barclays as a Data Engineer Lead, contributing to a high-performing team delivering design, development, and testing for the PBWM Data Platform. You&rsquo;ll play a key role in a multi-year transformation, building a scalable, cloud-based data platform using modern technologies like Databricks, PySpark, and AWS to drive performance and efficiency.</p>
<p></p><p>To be successful as a Data Engineer Lead, you should have experience with:</p>
<p></p><ul><li><p>Ample knowledge in Databricks, including development and optimisation of distributed data processing workloads.</p>
</li><li><p>Proficient in PySpark and Python for building scalable data pipelines and transformation.</p>
</li><li><p>Solid experience working with AWS cloud services, supporting the design and deployment of cloud-native data solutions.</p>
</li></ul><p></p><p>Some other highly valued skills may include:</p>
<p></p><ul><li><p>Working knowledge of Java, supporting broader application integration and development.</p>
</li><li><p>Databricks Certification (advantageous) demonstrating platform knowledge and best practice adoption.</p>
</li><li><p>AWS Certifications (e.g. AWS Certified Developer / Solutions Architect Associate) demonstrating cloud architecture and development proficiency.</p>
</li></ul><p></p><p>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.</p>
<p></p><p>This role will be based in our Glasgow office</p>
<p><b>Purpose of the role</b></p>
<p>To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.</p>
<p></p><p><b>Accountabilities</b></p>
<ul><li>Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li>
<li>Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li>
<li>Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li>
<li>Collaboration with data scientist to build and deploy machine learning models.</li>
</ul><p></p><p><b>Vice President Expectations</b></p>
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul><p></p><p>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</p></div>

Data Engineer Lead

Tadafur Consulting & Training

<p><b>Technical Lead &ndash; Microsoft &amp; Oracle SAM Data Collection</b></p><p>The Technical Lead &ndash; Microsoft &amp; Oracle SAM Data Collection will be responsible for leading the technical execution of data collection activities across client entities as part of a Software Asset Management compliance project.</p><p>The role requires a hands-on infrastructure specialist who can execute Microsoft and Oracle data collection scripts, validate technical prerequisites, troubleshoot access and connectivity issues, coordinate with entity IT/security teams, collect on-premise and cloud-based reports, validate outputs, and ensure complete, accurate, and analysis-ready data is handed over to the SAM licensing team.</p><p><b>Key Technical Responsibilities</b></p><ul><li>Validate technical readiness before each entity visit, including administrator access, required ports, shared folders, script paths, output locations, and security approvals.</li><li>Execute Microsoft and Oracle data collection scripts across in-scope endpoints, servers, databases, virtual machines, and infrastructure environments.</li><li>Collect Microsoft data from on-premise and cloud sources, including Active Directory, SCCM/ManageEngine, Microsoft 365, Entra ID, Intune, Azure, Power Platform, Azure DevOps, GitHub, and related licensing reports.</li><li>Collect Oracle data from database servers, Oracle instances, middleware/WebLogic environments, CPU/server inventory, listener details, and Oracle collection tool outputs.</li><li>Coordinate antivirus and endpoint security whitelisting to ensure approved scripts, folders, execution tools, and output directories are not blocked during data collection.</li><li>Troubleshoot technical issues related to permissions, WMI, SMB, RPC, DNS, LDAP, Kerberos, Oracle listener ports, firewall restrictions, antivirus blocking, and failed script execution.</li><li>Collect virtualization hierarchy data from VMware, Hyper-V, Nutanix, or other platforms, including host, cluster, VM, and workload mapping required for license analysis.</li><li>Validate data completeness and accuracy by reconciling script outputs against Active Directory, endpoint management tools, server inventories, cloud reports, DBA inputs, and virtualization exports.</li><li>Document execution status, issues, gaps, and completion evidence for each entity and maintain structured data collection logs and trackers.</li><li>Coordinate with entity IT, database, network, security, and cloud teams to resolve blockers and ensure complete, analysis-ready data is handed over to the SAM licensing team.</li></ul><p><b>Required Experience</b></p><ul><li>Minimum 3 years of hands-on IT infrastructure experience.</li><li>Experience in IT asset discovery</li><li>Experience executing technical scripts in large enterprise or government environments.</li><li>Experience working with Windows Server, Active Directory, SCCM, ManageEngine, or equivalent endpoint management tools.</li><li>Experience collecting data from Microsoft cloud platforms, including Microsoft 365, Entra ID, Intune, Azure, and Power Platform.</li><li>Practical exposure to Oracle database environments and Oracle license data collection requirements.</li><li>Experience coordinating with database administrators, infrastructure teams, network teams, cybersecurity teams, and endpoint management teams.</li><li>Experience collecting data from virtualized environments such as VMware, Hyper-V, and Nutanix.</li><li>Experience troubleshooting access issues, port restrictions, antivirus blocking, WMI failures, SMB failures, Oracle listener issues, and script execution errors.</li><li>Experience preparing technical logs, execution reports, issue trackers, and data collection completion reports.</li></ul><p><b>Technical Competencies</b></p><ul><li>Run Microsoft and Oracle discovery scripts independently.</li><li>Validate whether administrator privileges are sufficient.</li><li>Confirm port and network readiness before execution.</li><li>Troubleshoot WMI, SMB, RPC, DNS, LDAP, Kerberos, and Oracle listener connectivity.</li><li>Coordinate antivirus and endpoint security whitelisting.</li><li>Collect hardware and software asset discovery outputs.</li><li>Collect Microsoft 365, Azure, Entra ID, Intune, Power Platform, Azure DevOps, and GitHub reports.</li><li>Collect Oracle database, middleware, CPU, server, and listener-related outputs.</li><li>Collect virtualization hierarchy data from VMware, Hyper-V, and Nutanix.</li><li>Validate output completeness before handing data to SAM analysts.</li><li>Maintain structured technical logs, trackers, and completion reports.</li><li>Identify technical gaps and coordinate re-runs or additional exports.</li></ul><p>Work Location: In person</p>

Technical Lead – Microsoft & Oracle SAM Data Collection

<div><div><p><b>About THG</b></p>
<p>
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.</p>
<p>
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.</p>
<p>
From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.</p>
<p>
With us, you'll go further, faster. What are you waiting for?</p></div><p><b>
Location: Icon 1, WA15 0AF</b></p>
<p><b>
About Central Functions</b></p>
<p>
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.</p>
<p><b>
Why be the Data Engineering Lead at THG?</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p><b>
What you'll do:</b></p>
<p><b>
Technical Leadership &amp; Architecture</b></p>
<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>
<p><b>Domain Dataset Development</b></p>
<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>
<p><b>AI-Enabled Engineering</b></p>
<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>
<p><b>Ingenuity Relationship</b></p>
<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>
<p><b>People &amp; Team</b></p>
<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>
<p><b>What skills and experience do I need for this role?</b></p>
<p><b>
Essential</b></p>
<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>
<p><b>Desirable</b></p>
<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>
<p><b>What's in it for me?</b></p>
<p><b>
Career Development</b></p>
<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>
<p><b>Enhanced Leave</b></p>
<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>
<p><b>Wellbeing Support</b></p>
<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>
<p><b>Other Perks</b></p>
<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><p><b>
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.</b></p>
<p><b>
THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.</b></p>
<p><b>
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 </b><b>Talent</b><b> team to discuss further.</b></p></div></div>

Data Engineering Lead

L'Oréal

Unleash Your Potential at L'Oréal's Beauty Tech!
<br><br>
Who Are We?
<br><br>
For 115 years, L’Oréal, the world’s leading beauty player, has devoted itself to one thing only: fulfilling the beauty aspirations of consumers around the world.
<br><br>
For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L'Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.
<br><br>
Today, L’Oréal includes more than 2,000 tech professionals and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.
<br><br>
Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.
<br><br>
A Day in the Life of Technical Lead - Python, SQL & AI-Augmented Engineering
<br><br>
As the Data Technical Lead, you are the hands-on master of the data factory. You will translate the Solution Architect’s high-level data strategy into robust, production-grade code. Your mission is to lead a squad of data engineers in building scalable ETL and Reverse ETL pipelines using Python, SQL, and Airflow, while mandating the use of AI coding assistants to automate pipeline generation and query optimization.
<br><br>
In this role, You will..
<br><br>
1. AI-Driven Data Engineering (Mandatory)
<br><ul>
<li>AI Velocity: Standardize the use of GitHub Copilot, Cursor, or ChatGPT to generate complex SQL transformations, Python scripts, and PySpark logic.</li>
<li>Query Optimization: Use AI-assisted tools to refactor legacy SQL for performance and cost efficiency (e.g., reducing BigQuery/Snowflake compute costs).</li>
<li>Unit Testing for Data: Leverage AI to generate exhaustive test suites for data validation and schema drift detection.</li>
</ul>
2. ETL & Reverse ETL Mastery
<br><ul>
<li>Orchestration: Design and maintain complex, idempotent Airflow DAGs. Ensure high availability and observability of schedules.</li>
<li>Streaming & Batch: Implement data processing using Google Cloud Dataflow (Apache Beam) or Spark for massive-scale transformations.</li>
<li>Reverse ETL: Bridge the gap between the Data Warehouse and Business Apps (Salesforce, Braze, Google Ads) to ensure "Data Activation" is seamless and reliable.</li>
</ul>
3. Python & SQL Excellence (The "How")
<br><ul>
<li>Pythonic Patterns: Develop custom Python libraries and operators for the data team to ensure DRY (Don't Repeat Yourself) principles across all pipelines.</li>
<li>SQL Governance: Own the "Gold Standard" for SQL performance. Conduct rigorous code reviews focusing on window functions, partitioning, and indexing.</li>
</ul>
4. Partnership with Solution Architect
<br><ul>
<li>From Blueprint to Build: Take the Architect's ERD (Entity Relationship Diagram) and turn it into optimized Physical Tables and views.</li>
<li>Operational Integrity: Implement the CI/CD strategy for data (Git, dbt, or similar) to move from development to production without downtime.</li>
</ul>
What are we looking for?
<br><br>
Technical Requirements
<br><ul>
<li>AI Tooling: Expert proficiency in GitHub Copilot or Claude Code for accelerating Python and SQL development.</li>
<li>Data Stack: Expert knowledge of Python 3.x and advanced SQL (analytical functions, recursive CTEs).</li>
<li>Orchestration: 3+ years of experience with Apache Airflow.</li>
<li>Cloud Processing: Proven experience with Google Cloud Dataflow (Apache Beam) or similar managed services (Dataproc, AWS Glue).</li>
<li>Data Concepts: Expert in ELT/ETL patterns, Data Lakehouse architecture, and Reverse ETL strategies.</li>
</ul>
Soft Skills & Qualifications
<br><ul>
<li>Experience: 7+ years in Data Engineering, with 2+ years leading a squad.</li>
<li>Pragmatism: Ability to balance "Perfect Code" with "Business Velocity" using AI.</li>
<li>Leadership: Experience mentoring junior data engineers in writing clean, scalable Python.</li>
<li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>
</ul>
What’s In It for You?
<br><br>
<ul>
<li>Working with cutting edge Technology, empowering employees with new age learning, global exposure, and opportunities to build future-ready careers.</li>
<li>A flexible and modern workplace, enabling teams to perform at their best through a smart hybrid model that supports balance and autonomy. A 3 Day in Office, 2 Day Work from Home setup.</li>
<li>Employee support at every life stage, with inclusive and progressive parental policies that help individuals and families thrive.</li>
<li>Holistic wellbeing offerings - personalized health benefits and strong mental wellness support to ensure employees feel their best.</li>
<li>Reward and Recognition opportunities, long-term incentives, and opportunities to share in L’Oréal’s collective success.</li>
<li>L'Oreal is an Equal Opportunity Employer and takes pride in a diverse environment</li>
</ul>
We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.

Technical Lead – Python, SQL & AI-Augmented Engineering

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