Data Engineer

Job title: Data Engineer

Location: Waltham on the Wolds

Contract length: 12 month contract potential to extend

Shift Pattern: Monday - Friday 09.00am - 17.00pm (Flexibility)

(i.e 08.00am - 16.00pm) Hybrid

(8 hour day with a 30 minute unpaid lunch break)

Randstad Sourceright, a leading provider of RPO & MSP Recruitment Services are currently recruiting for a Data Engineer on behalf of a global manufacturing company. This is an initial 12 Month contract starting asap, with the potential to extend. This position is Hybrid with 2 days in the office per week.

The successful Data Engineer will cover diverse topics in pet nutrition, health, and wellbeing and is achieved through designed experiments and real-world data. As a Data Engineer, you will play a pivotal role in translating this diverse data into high-value data products. Working at the intersection of science and technology, you will collaborate closely with our researchers and IT partners to design, develop, and refine a modern data landscape. Your analytical skills and programming foundation will directly support our scientific discoveries, helping deliver our Petcare strategy of creating a better world for pets.

Responsibilities:

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Design, deliver, and maintain robust data products and pipelines that support our business operations and scientific research, providing clear documentation on specifications and having a deep understanding of each solution at the data, technical and business process levels.

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Implement data engineering best practices to standardise development, quality testing, and BAU process, utilizing solid Python/Pyspark and SQL coding standards.

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Responsible for ensuring that high quality, FAIR compliant, data is presented from the products to our researchers, keeping our data catalogue and dictionaries up to date.

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Build, manage and scale our research ready products.

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Structured, reliable, easy accessible data to the research team.

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Untangle complex data.

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Comfortable writing clean, efficient code.

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Data pipelines using Azure services. (Azure data factory/ Azure databricks/ DBT)

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Modern I.T practices - System and Product integration - Micro services/ data lakes/FAIR and common data models.

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DevOps & Terraform

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Design/ Deliver and Maintain robust data products and pipelines

Key Skills/ Qualifications & Essentials ;

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Educated to degree level in an IT, Computer Science, Data Science or related subject.

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Have an analytical & problem-solving mindset with the ability to untangle complex data

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Challenges, ask proactive questions, and design logical models to make data useful for others, preferably within an R&D environment.

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Have a solid programming foundation, with strong working knowledge of Python (specifically PySpark) and SQL and comfortable writing clean, efficient code to manipulate, transform, and query data.

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Have proven expertise in designing and implementing data pipelines using Azure services (such as Azure Data Factory, Azure Databricks and DBT).

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Have a comprehensive understanding of modern enterprise IT practices, especially system and product integration, micro-services, data management, data lakes, FAIR (Findable,Accessible, Interoperable, Reusable) principles and common data models.

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Have experience of product lifecycle management principles and tools (e.g. DevOps, terraform) and relational database manipulation and interrogation.

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Have the ability to collaborate, understand and translate requirements to designs/architecture.

We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.

To apply, please follow the instructions on our application portal. We look forward to receiving your application

If this isn’t the role you’re looking for right now, please visit our Randstad Enterprise Website. Thank You