Data Engineer

What are we looking for?

Mars Petcare consists of five Divisions: Pet Nutrition, Royal Canin, Mars Veterinary Health & Diagnostics and Kinship. The Pet Nutrition division is currently embarking on a 3-year Digital Transformational program that aims to irreversibly digitise Mars.

Our purpose in the R&D Digital Transformation of Pet Nutrition Is to create step-change value creation for pets and pet parents by digitalising R&D to accelerate innovation, deliver important propositions and fuel an integrated supply chain, with Increased agility and reduced cost. Some of the key deliverables we will look to unlock are:

From siloed, small-scale product performance evaluation to a fully Integrated, evidence-based performance assessment through real-time predictive solutions; maximising capability and reducing evaluation time & cost by building confidence to drive superior propositions across the portfolio.

• From traditional Innovation and scale-up protocols to innovative digital modelling which enables rapid scenario evaluation, accelerated development and scale-up, with increased agility and reduced costs/resources.

• From dispersed physical quality records to digitalised quality standards, capturing of data and trend predictions, which can be leveraged to proactively mitigate emerging risks and avoid non-quality Impacts.

• From fragmented legacy, IT systems holding unreliable data to an integrated R&D digital & data ecosystem to enact step-change operational efficiency and maximising business value by confidently utilising trustworthy data.

What will be your key responsibilities?

As a Data Engineer in the R&D team, your key responsibilities are as follows:

1. Technical Proficiency:

• Engage 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 partnerships 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:

• Cooperate 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 disseminating 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.

• Contribute to the maintenance of a semantic and intelligent data layer to contribute to the comprehensive leadership of the data solution within the environment.

3. Collaboration and Communication:

• Interact 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, assiduously participating in team discussions and sharing ideas to improve platform excellence.

Education & Professional Qualifications

• Significant experience working as a Data Engineer.

Knowledge / Experience

• Experience with Spark, Databricks, or similar data processing tools.

• Proficiency in working with the cloud environment and various software's including SQL Server, Hadoop, and NoSQL databases.

• Proficiency in Python (or similar), SQL and Spark.

• Proven ability to develop data pipelines (ETL/ELT).

• Strong inclination to learn and adapt to new technologies and languages.

• Expertise designing and building Big Data databases, analytics, and BI platforms.

• Strong understanding and experience in working with Databricks Delta Lake.

• Keen interest in the latest trends and tools in Data Engineering and analytics.

• Familiarity with graph databases (e.g., Neo4J/Cypher).

• Experience with data visualization tools (e.g., PowerBI).

• Proficiency in Microsoft Azure cloud technologies would be a bonus.

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 a 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.