

Mars
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in Waltham, UK (Hybrid), with a contract length of over 6 months. Pay rate is unspecified. Key skills include Azure services, Spark, Databricks, Python, and experience in life sciences data integration.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Waltham, England, United Kingdom
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🧠 - Skills detailed
#Azure #Data Catalog #Data Engineering #Database Design #Data Integration #Storage #Data Pipeline #Python #Data Architecture #PySpark #Databricks #Data Storage #"ETL (Extract #Transform #Load)" #Spark (Apache Spark)
Role description
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
• 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:
• 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
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
• 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:
• 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






