9.2

/10

Transparency ranking

Apply now

Job Description

Job Description:

Data and Analytics is foundational to our Petcare OGSM goal to transform the experience of pet ownership through digitalisation at scale. To deliver on this ambition set by this OGSM we require the very highest level of technical / engineering expertise within Global Petcare Data & Analytics. There is a need to expand this high performing team of creative, skilled individuals – to help build out new capabilities and bring fresh ideas to the table, particularly around real-time consumer data to feed marketing use cases.

Key Responsibilities:

  • Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask

  • Ingest and integrate data from a large number of disparate data sources

  • Design and build complex data models for analytical and marketing use cases

  • Write high quality code contributing to a platform which is scalable and easy to maintain

  • Work closely with analysts, data scientists and technology partners to understand their requirements

  • Exercise fluid communication with your team of data engineers

  • Adopt DevOps & CI/CD methodologies to collaborate on a growing platform

  • Enthusiastically evolve your technical skillset, engage in training and learn new technologies and techniques

  • Tackle challenging project tasks demonstrating ownership and responsibility

Skills Required:

  • Experience in processing data using Spark / Databricks or similar

  • Experience working in a cloud environment (Azure, AWS, GCP) ·

  • Experience in at least one of: Python (or similar), SQL, PySpark ·

  • Experience in building data pipeline/ETL/ELT solutions

  • Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the current tools, the latest approaches

Nice to Have:

  • Highly advantageous - Experience with consumer data In a real-time environment

  • Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions, ADF, Azure Event Hub ·

  • Advantageous - Experience with Delta Live Tables (DLT) or Data Build Tool (DBT) ·

  • Advantageous - Delta Lake storage layer ·

  • Advantageous - Neo4J / Cypher

What can you expect from Mars?

  • Work with 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.

#TBDDT

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
Sabbaticals
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
Shared parental leave
Adoption leave
Family health insurance
Pregnancy support
Neo-natal leave
Faith rooms
Meditation space
Dog friendly office
Dog friendly co-working space
Annual bonus
Employee discounts
Cinema discounts
Referral bonus
Joining bonus
Cycle to work scheme
Electric Car Salary Sacrifice
Enhanced pension match/contribution
Theme park discounts
Lunch and learns
In house training
LinkedIn learning license
Studying sabbaticals
Open to part time work for some roles

Working at Mars UK

Company employees

4,000 In the UK

Gender diversity (male:female)

57:43

Currently Hiring Countries

Denmark

France

Poland

United Kingdom

United States

Office Locations

Awards & Achievements

1st – Family Friendly

1st – Family Friendly

Flexa awards 2025
2nd – Pet Friendly

2nd – Pet Friendly

Flexa awards 2025
Flexible

Flexible

Flexa awards 2025
Diversity and Inclusion

Diversity and Inclusion

Flexa awards 2025
Work-Life Balance

Work-Life Balance

Flexa awards 2025
Career Progression

Career Progression

Flexa awards 2025
Culture

Culture

Flexa awards 2025
Benefits

Benefits

Flexa awards 2025
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