Data Engineer

Mars
London
1 week ago
Create job alert

🚀 Data Engineer – Paddington / Hybrid


This is a project-based transformation role that is currently expected to end on 31st December 2026.

📍 London-based with hybrid flexibility | 🐾 Help build the future of pet care at Mars

We’re looking for askilled Data Engineerto join our Pet Nutrition Digital team. You'll help us build a scalable, data-driven ecosystem that powers innovation across some of the world’s best-loved brands — and improves life for pets and pet owners everywhere.

Join us on a multi-year digital transformation journey where your work will unlock real impact.


🌟 What you'll do

  • Build robust data pipelines using Python, PySpark, and cloud-native tools
  • Engineer scalable data models with Databricks, Delta Lake, and Azure tech
  • Collaborate with analysts, scientists, and fellow engineers to deliver insights
  • Drive agile DevOps practices and continuous improvement
  • Stay curious, keep learning, and help shape our digital platforms


🧠 What we’re looking for

  • Proven experience as a Data Engineer in cloud environments (Azure ideal)
  • Proficiency in Python, SQL, Spark, Databricks
  • Familiarity with Hadoop, NoSQL, Delta Lake
  • Bonus: Azure Functions, Logic Apps, Django, CI/CD tools


💼 What you’ll get from Mars

  • A competitive salary & bonus
  • Hybrid working with flexibility built in
  • Access to Mars University for world-class learning
  • A purpose-driven culture:The world we want tomorrow starts with how we do business today
  • A commitment to inclusion:We’re happy to discuss adjustments to support you throughout the recruitment process


Disclaimer:Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer SAP {Defence, MoD

Data Engineer (AI-Driven platform. Python/Snowflake)Remote £70k

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.