Senior Data Engineer

Senior Data Engineer – London - Hybrid

Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN’S ORIGINAL®, and COCOAVIA®. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health and services businesses such as Banfield Pet Hospitals™, BluePearl®, Linnaeus, AniCura, VCA™ and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our 130,000 Diverse Associates to act daily towards creating the world we want tomorrow

This is a transformation role with an end date of December 2026

Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets.

Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost.

Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams.

The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation.

As a Data Engineer in the Commercial team, your key responsibilities are as follows:

1. Technical Proficiency:

• Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights.
• Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL.
• Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs.
• Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions.
• Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform.

2. Learning and Growth; Contribution to Solutions:

• Collaborate with the team to learn and apply the best practices in data engineering.
• Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions.
• Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas.
• Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members.
• Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners.
• Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment.

3. Collaboration and Communication:

• Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions.
• Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence.

What are we looking for?

• Great experience as a Senior Data Engineer.
• Experience with PySpark, SQL and Databricks.
• Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have.
• Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with DataOps practices and tools, including CI/CD for data pipelines.
• Experience in medallion data architecture and other similar data modelling approaches.
• Experience with data visualization tools (e.g., PowerBI).
• Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets.
• Keen interest in the latest trends and tools in data engineering and analytics.

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.

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.