Data Engineer

Hyper Recruitment Solutions; Cambridgeshire and Peterborough; On-site; GBP 40,000 - 70,000; Full time

Job summary

Hyper Recruitment Solutions is seeking a Data Engineer to join a leading Biotech in the Cambridge area. You will be responsible for organizing and displaying scientific research data. Key responsibilities include designing cloud-native data architectures on GCP or AWS, developing bespoke data solutions, and implementing data management systems. Applicants should have a relevant degree and proven experience with Python and cloud solutions. A dynamic work environment in life sciences is offered.

Qualifications

• Proven industry experience in building cloud-native solutions and developing applications using Python.
• A working knowledge of querying APIs / RESTful interfaces.
• Practical experience with database schema design and SQL/NoSQL database administration.

Responsibilities

• Design, implement, and evolve secure, scalable, and cost-effective cloud-native data architectures.
• Develop bespoke data solutions that support scientific workflows.
• Lead implementation of new data management systems and drive best practices.

Skills

Cloud-native solutions

Python

APIs

SQL

NoSQL

Data Visualisation

Education

Relevant degree in a related field

Tools

GCP

AWS

Job description

Data Engineer Position

We are currently looking for a Data Engineer to join a leading Biotech based in the Cambridge area. As the Data Engineer, you will be responsible for helping to organise and display the scientific and research data that our scientific colleagues are producing.

Key Duties and Responsibilities

1. Design, implement, and evolve secure, scalable, and cost-effective cloud-native data architectures on GCP or AWS.
2. Develop and maintain bespoke data solutions, from back-end systems to front-end visualisations, that directly support scientific workflows.
3. Lead the implementation of new data management systems and drive best practices for code development, CI/CD pipelines, and infrastructure-as-code.
4. Consume and transform large volumes of scientific data from various sources (including APIs) into structured, queryable data stores.

Role Requirements

1. Relevant degree in a related field.
2. Proven industry experience in building cloud-native solutions (either GCP or AWS) and developing applications using Python.
3. A working knowledge and practical experience with querying APIs / RESTful interfaces, database schema design, and SQL/NoSQL database administration.

Key Words: Data Engineer / Cloud-native solutions / Python / GCP / AWS / Data Architecture / CI-CD / APIs / SQL / NoSQL / Data Visualisation / Scientific Data

Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.