
3–4 days/week at home
Core hours 11–3
Dog friendly
Job Description
Job Description:
Data and Analytics is foundational to our Pet Nutrition OGSM and will drive our transformation to a business that is powered by data. To deliver on this ambition set by this OGSM we require the very highest level of technical / engineering expertise within Global Pet Nutrition Data & Analytics
There is a need to develop a high performing team of creative, skilled individuals – to help build out new capabilities and bring fresh ideas to the table.
Key aspects of the role are to:
Be a skilled engineer on the Petcare Data Platform, helping build the foundations for a better understanding of pets and pet-owners
Develop Pet Nutrition data products, particularly those for Strategic Revenue Management(SRM) i.e. pricing and promotions
Manage Pet Nutrition data to produce valuable data assets on pets and pet-owners and to make
Work in squads to focus on key areas of development for Pet Nutrition and across the Petcare Data Platform
Work comfortably in an agile and fast paced environment
Contribute enthusiastically to technical design and brainstorming sessions
Present brilliant work and success stories to stakeholders and the wider team
What are we looking for?
For this role, we hope you have the following skills:
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 - Neo4J / Cypher
Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions
Advantageous - Delta Lake storage layer
Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js
What will be your 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 insight
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
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
The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility
First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.
We ask the hard questions so you don’t have to.
Working at Mars UK
Company employees
4000 In the UK
Gender diversity (male:female)
57:43
Office locations
London, Slough, Waltham, Castle Cary, Birstall, Plymouth
Hiring Countries
United Kingdom

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