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- Tasks: Design and implement data products to support pet health and nutrition projects.
- Company: Join MARS Petcare, a leader in pet wellbeing and nutrition.
- Benefits: Gain hands-on experience, competitive pay, and a chance to make a difference.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Be part of a team transforming pet care through innovative data solutions.
- Qualifications: Degree in IT, expertise in Azure, Python, and data architecture required.
The predicted salary is between 50000 - 60000 £ per year.
Location: Waltham Petcare Science Institute
Contract Length: 12 months
Working Hours: 40 hours per week
This role is essential for delivering projects in collaboration with IT partners and internal stakeholders to transform the product landscape and provide an infrastructure that supports the Petcare strategy of creating a better world for pets.
Job Purpose
The Data Engineer will design and implement robust data products and frameworks that meet evolving business needs. Working at the intersection of pet nutrition, health, and wellbeing, the successful candidate will bridge the gap between designed experiments and real-world data to support world-class science behind MARS Petcare brands.
Key Responsibilities
- Deliver data pipelines and products that support business operations and research.
- Provide clear documentation on technical specifications and maintain a deep understanding of solutions at the data and business process levels.
- Implement data engineering best practices to standardize the development process across the team.
- Design and maintain data integration frameworks for diverse sources, including practice management systems, lab systems, and registries.
- Design and implement data pipelines using Azure services (Azure Data Factory, Data storage), Spark, and Databricks.
- Lead data modelling, database design, and the design of enterprise data architecture.
- Utilize ETL/ELT frameworks and integration patterns with programming expertise in Python or PySpark.
- Process structured and semi-structured data, specifically focusing on life science data such as OMICS and health records.
- Ensure high-quality data is presented to researchers and maintain accurate data dictionaries within the data catalogue.
- Collaborate and communicate effectively with stakeholders and product managers to ensure project alignment.
Knowledge & Experience
- Educational Background: A degree in a relevant IT subject is required to ensure a foundational understanding of computer science principles.
- Azure Ecosystem Expertise: Proven expertise in designing and implementing data pipelines specifically using Azure Data Factory and Azure Data Storage.
- Big Data Processing: Advanced proficiency with Spark and Databricks for high-performance data processing.
- Programming Skills: Strong programming experience with Python or PySpark to build and manage ETL/ELT frameworks.
- Data Architecture & Design: Deep knowledge of enterprise data architecture, including database design and sophisticated data modelling.
- Integration Frameworks: Experience in designing data integration patterns that can pull from diverse sources like practice management systems and lab registries.
- Specialized Data Handling: Prior experience working with both structured and semi-structured data, with a strong preference for candidates who have handled life science data (e.g., omics or health records).
- Professional Track Record: A proven history of delivering data products and frameworks that directly meet complex business needs.
- Collaborative Skills: Ability to effectively communicate technical concepts to stakeholders and collaborate with product managers to align on business goals.
Data Engineer employer: Randstad Enterprise
Contact Detail:
Randstad Enterprise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events related to data engineering. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure, Spark, or Python. Having tangible examples of your work can really impress potential employers and set you apart from the competition.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest Data Engineer openings. Applying directly through us not only gives you access to exclusive roles but also shows your commitment to joining our team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Spark, and Python, and don’t forget to mention any relevant projects that showcase your skills in data pipelines and integration frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pet care and how your background aligns with our mission. Be specific about how your skills can contribute to transforming the product landscape.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise. Mention your experience with ETL/ELT frameworks and any work you've done with life science data. This will help us see how you can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Randstad Enterprise
✨Know Your Data Engineering Tools
Make sure you brush up on your knowledge of Azure Data Factory, Spark, and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed data pipelines or frameworks that solved real business problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Context
Familiarise yourself with MARS Petcare's mission and how data engineering supports their goals. Being able to connect your technical skills to their business needs will show that you're not just a techie, but someone who understands the bigger picture.
✨Communicate Clearly and Collaboratively
Practice explaining complex technical concepts in simple terms. Since collaboration is key in this role, demonstrating your ability to communicate effectively with non-technical stakeholders will set you apart from other candidates.