Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Platform Lead Engineer (Platform Essentials and AIenablement)

Mars Petcare UK
Greater London
8 months ago
Applications closed

Related Jobs

View all jobs

Lead DataOps Engineer

Machine Learning and AI Engineering Lead

Senior DataOps Engineer

Machine Learning Operations Lead

Senior Data Engineer (Data Science Team)

Senior Data Engineer (Data Science Team)

JobDescription:

Weare seeking an experienced Lead Data Platform Engineer to join ourteam and take on a crucial role in managing a group of talentedengineers. As the Lead Data Platform Engineer, you will beresponsible for overseeing data platform engineering and coretoolsets, with a focus on Azure infrastructure as code. You willensure the reliability, scalability, and performance of our datainfrastructure while playing a pivotal part in shaping our dataecosystem and driving innovation within ourorganisation.This is anexciting opportunity for a seasoned data engineer or advancedanalytics engineer to step into a leadership role, shape our datainfrastructure, and drive innovation in a dynamic and collaborativeenvironment. If you are a passionate data engineer with strongleadership skills and expertise in Azure, we encourage you to applyand be a part of our dedicated global team of talentedprofessionals and make a real impact on our Petcare data andanalytics platform and make a better world forpets.What are welookingfor?

  • Bachelor’sor Master’s degree in Computer Science, Information Technology, ora related field or equivalentexperience.
  • Experience inleading technical engineering teams and delivering and owningobjectives.
  • Provenexperience in data platform engineering, including the design,development, and optimisation of datainfrastructure.
  • Strongleadership and management skills, with the ability to lead andmentor a team of engineerseffectively.
  • Proficiencyin programming languages such as Python, Java, orScala.
  • Expertise in Azurecloud services and infrastructure as code (e.g., Azure ResourceManager templates,Terraform).
  • Strongunderstanding of data platform KPIs and accountability fordelivering measurableoutcomes.
  • Experienceworking in a product-based approach within specific technicaldomains and as part of a widerteam.

Nice-to-Haves:

  • Knowledgeof the Inner Source paradigm and way ofworking.
  • Experience withcontainerisation and orchestration technologies (e.g., Docker,Kubernetes).
  • AI platformexperience (enabling models anddeployment)
  • Knowledge ofcloud technologies and virtualnetworking.
  • Familiaritywith other cloud platforms (AWS, GoogleCloud).

KeyResponsibilities:StrategicLeadership:

  • Defineand own the data platform strategy and roadmap for the technicaldomains, aligned with the overall Petcare data and analyticsplatform strategy and Petcarestrategy.
  • Ensure innersourcing of platform capabilities across all divisions and regions,fostering reuse andcollaboration.
  • Track andoptimise the work done by the platform engineers within yourdomain.

PlatformDelivery & Evolution (within yourdomain):

  • Lead thedelivery of platform capabilities, ensuring scalability,performance, and security. Being “hands on” asneeded.
  • Drive the yearlyplans for the domain, ensuring alignment with the wider Petcarestrategicgoals.
  • Collaborate withthe Engineering Director and other domain leads, and architects tomaintain alignment andproductivity.

StakeholderManagement:

  • Alongwith other senior members of the team partner with D&A Leaders,engineering leads, analytics product leads, and data science leadsacross all divisions and regions to ensure platform capabilitiesmeet the needs of Petcareglobally.
  • Collaborateacross a complex and occasionally ambiguous Digital Technologyorganisation structure, using influence to achieve alignment andstrategic outcomes.
  • Act asthe key point of contact for the domain’s platform KPIs, ensuringalignment on cost management, innovation, risk reduction, and valueenablement at scale, while reporting progress and outcomes tosenior leadership up to theCDO.

Governance&Accountability:

  • Establishstrong governance processes to ensure alignment of platformcapabilities acrossdivisions

Whatcan you expect fromMars?

  • Work withover 130,000 diverse and talented Associates, all guided by theFive Principles.
  • Join apurpose driven company, where we’re striving to build the world wewant tomorrow,today.
  • Best-in-classlearning and development support from day one, including access toour in-house MarsUniversity.
  • An industrycompetitive salary and benefits package, including companybonus.

#TBDDT

Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.