Mars UK • United Kingdom

Data Engineer

Employment type:  Full time

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

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

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
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Awards & Achievements
Most flexible Retail & Ecommerce companies

Most flexible Retail & Ecommerce companies

Industry awards 2022