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For Companies At a Glance
- Tasks: Design and implement scalable data pipelines for high-performance AI applications.
- Company: Join a dynamic team collaborating with scientists and innovators across various fields.
- Benefits: Enjoy a hybrid working policy, travel allowance, and a competitive salary of £70,000 - £75,000.
- Why this job: Be at the forefront of AI technology while working in a diverse and collaborative environment.
- Qualifications: Significant experience in data engineering, cloud technologies, and strong software engineering skills required.
- Other info: Opportunity to partner with research and product teams to enhance data capabilities.
The predicted salary is between 56000 - 84000 £ per year.
About the role:
This role requires technical expertise in scaling data processing systems for high
performance AI applications and the ability to partner and collaborate with a diverse of teams
including scientists, innovators, operations and researchers from different fields.
Job Responsibilities
- Design and implement components of a robust, scalable data pipelines and
- infrastructure
- Lead the development of data processing systems using cloud technologies
- Optimize data storage and retrieval for high-performance AI applications
- Collaborate with AI/ML teams to support model development and deployment
- Evaluate and integrate new technologies to enhance our data capabilities
- Partner and collaborate with a diverse set of teams incl. science, research, product,
- business development and operations
Job Requirements
- Significant experience in data engineering at scale
- Strong knowledge of data management tools and technologies including ETL
- frameworks, database engines, and file and object stores
- Experience building secure/scalable platforms/products on cloud
- Experience partnering with research and product teams
- Strong software engineering experience with software design / architecture skills
- Extensive enterprise programming experience writing production code using any
- mainstream programming languages, e.g. Python
- Experience with data modelling, ETL processes, and data warehousing
- Familiarity with ML/AI workflows and data requirements
Benefits:
Hybrid working policy
Travel allowance
Competitive Salary: £70,000 – £75,00
Scientific Data Engineer employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud technologies in your conversations. Highlight specific projects where you've built scalable data processing systems, as this will resonate well with our team.
✨Tip Number 2
Demonstrate your ability to collaborate across diverse teams. Share examples of how you've partnered with scientists or product teams in the past to enhance data capabilities and support model development.
✨Tip Number 3
Familiarize yourself with our current data management tools and technologies. Being able to discuss how you can optimize data storage and retrieval for high-performance AI applications will set you apart.
✨Tip Number 4
Prepare to talk about your software engineering experience, especially in writing production code. Be ready to discuss your familiarity with programming languages like Python and how you've applied them in enterprise settings.
We think you need these skills to ace Scientific Data Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your significant experience in data engineering at scale. Detail your knowledge of data management tools, ETL frameworks, and cloud technologies in your CV and cover letter.
Showcase Technical Skills: Clearly outline your software engineering experience, particularly with programming languages like Python. Include specific examples of projects where you designed and implemented scalable data pipelines.
Demonstrate Collaboration: Since the role requires collaboration with diverse teams, provide examples of how you've successfully partnered with research, product, or AI/ML teams in previous roles. This will show your ability to work in a multidisciplinary environment.
Tailor Your Application: Customize your application materials to reflect the job description closely. Use keywords from the job listing, such as 'data processing systems', 'cloud technologies', and 'high-performance AI applications' to make your application stand out.
How to prepare for a job interview at Hlx Life Sciences
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data engineering at scale. Highlight specific projects where you designed and implemented robust data pipelines, and be ready to explain the technologies and tools you used.
✨Demonstrate Collaboration Skills
Since this role involves partnering with diverse teams, share examples of how you've successfully collaborated with scientists, researchers, or product teams in the past. Emphasize your ability to communicate complex technical concepts to non-technical stakeholders.
✨Discuss Cloud Technologies Experience
Make sure to talk about your experience with cloud platforms and how you've built secure and scalable data processing systems. Be specific about the cloud technologies you've used and any challenges you overcame during implementation.
✨Familiarity with AI/ML Workflows
Since the role involves supporting AI/ML teams, demonstrate your understanding of machine learning workflows and data requirements. Discuss any relevant experience you have in integrating data capabilities to enhance model development and deployment.
