2 days/week at home

Core hours 11–3

Dog friendly

Job Description

Job Description:

We seek an experienced Data Platform Engineer to join our leads team. As a Data Platform Engineer, you will play a crucial role in managing data platform engineering and core toolsets, with a focus on Azure infrastructure as code. You will ensure our data infrastructure's reliability, scalability, and performance while contributing significantly to our data ecosystem and driving innovation within our organisation.

The opportunity is exciting for a seasoned data engineer or advanced analytics engineer interested in platform and infrastructure to shape our data infrastructure and drive innovation in a dynamic and collaborative environment. If you are a passionate engineer with expertise in Azure and infrastructure pipelines, we encourage you to apply and be a part of our dedicated global team of talented professionals, make a real impact on our Petcare data and analytics platform, and make a better world for pets.

What are we looking for?

Essential Requirements:

  • Proven experience in data platform engineering, including designing, developing, and optimising data infrastructure.
  • Proficient in infrastructure as code and DevOps pipelines and scripting such as terraform and bash.
  • Knowledge of a broad range of Data PaaS and SaaS tools within Azure, such as Databricks, Azure data factory, Event Grid, Mail Grid, etc. and creating frameworks on top of them.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Expertise in Azure cloud services and infrastructure as code (e.g., Azure Resource Manager templates, Terraform) and DevOps Pipelines such as Azure DevOps Pipelines or GitHub Actions.
  • Excellent communication skills being able to explain complex platform concepts to both data engineers and business users.

Nice to Haves:

  • Bachelor's or master's degree in computer science, Information Technology, or a related field
  • Experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes).
  • Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).
  • Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)
  • Knowledge of Inner or Open Source paradigm and way of working
  • Knowledge of Cloud (Azure) Networking and Security Standards

Key Responsibilities:

Data Platform Engineering: Contribute to designing, developing, and maintaining our data platform and core toolsets on the Azure cloud. Ensure the platform is highly available, scalable, and performs optimally.

Data Tools and Frameworks Development: Contribute to developing and implementing data platform tools and frameworks on Azure to support the organisation's data needs. Collaborate with other teams to align data infrastructure with business objectives.

Collaborate and support platform users: Work alongside other data teams and business users to help understand their requirements of the platform and support in a third-line capability as and when needed.

Infrastructure as Code: Utilise Azure infrastructure as code practices to automate the provisioning and management of data platform resources. Ensure consistency, repeatability, and efficiency in infrastructure deployment.

Technology Evaluation: Stay up-to-date with emerging technologies and industry best practices in data engineering and Azure cloud services. Evaluate and recommend new tools and technologies to enhance the data platform's capabilities and efficiency.

What can you expect from Mars?

  • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose-driven company where we're striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry-competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, 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.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave
Bank holiday swaps
Employees are very happy with their working location freedom
Employees are very happy with the flexibility in the hours they work
Employees are very happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that flexible working is part of the culture
Employees feel they have complete autonomy over getting their work done

Additional employee ratings
(these do not contribute to the FlexScore®)

Employees feel that the diversity is good and there are continued efforts to improve it
Employees feel that the culture supports equity and inclusivity well
Employees feel like it is a really great environment to work in
Employees feel very excited about and aligned with the company mission
Employees feel that their salary is good and matches the value they bring

Working at Mars UK

Company employees

4,000 In the UK

Gender diversity (male:female)


Office locations

London, Slough, Waltham, Castle Cary, Birstall, Plymouth

Hiring Countries




United Kingdom

United States

Awards & Achievements

1st – Large companies

1st – Large companies

Flexa100 2024
Consumer Goods

Consumer Goods

Industry awards 2023
3rd – Large companies

3rd – Large companies

Flexa100 2023
Retail & Ecommerce

Retail & Ecommerce

Industry awards 2022

Other jobs you might like