Data Engineer

Randstad Sourceright
Waltham on the Wolds, LE14 4AW, United Kingdom
Last month
Applications closed

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Posted
20 Mar 2026 (Last month)
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Job Opportunity: Data Engineer

Location: Waltham, UK (Hybrid)

Contract: Full-time, 37 hours per week

About the Role

Join the Waltham Petcare Science Institute, the world-class science hub behind Mars Petcare brands. At WALTHAM, we explore diverse topics in pet nutrition, health, and wellbeing through innovative experiments and real-world data.

As a Data Engineer, you will collaborate with IT partners and internal stakeholders to transform our product landscape and build data infrastructure that drives our mission: creating a better world for pets.

What We Are Looking For

We are seeking an experienced Data Engineer with a track record of delivering robust data products and frameworks that meet business needs.

Qualifications & Skills:

*

Educated to degree level in a relevant IT or data field

*

Expertise in designing and implementing data pipelines using Azure services (Data Factory, Data Storage), Spark, and Databricks

*

Strong knowledge of data modelling, database design, and enterprise data architecture

*

Experience with ETL/ELT frameworks and data integration patterns using Python or PySpark

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Experience with structured and semi-structured data, preferably in life sciences (e.g., omics, health records)

*

Ability to translate business requirements into technical solutions and collaborate effectively

Key Responsibilities

As part of the WALTHAM data engineering team, you will:

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Deliver data pipelines and products that support business operations and research

*

Document solutions comprehensively, understanding data, technical, and business process levels

*

Implement data engineering best practices to standardize development processes

*

Design and maintain data integration frameworks for multiple sources (e.g., lab systems, registries, practice management systems)

*

Ensure high-quality data delivery to researchers and maintain data dictionaries in the data catalogue

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