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- Tasks: Develop and optimise data pipelines using Python and machine learning applications.
- Company: Join a leading biopharma company in central London with a flexible work culture.
- Benefits: Enjoy remote work options, competitive pay, and opportunities for career advancement.
- Why this job: Make a real impact in the biotech field while working with cutting-edge technologies.
- Qualifications: Degree in Computer Science or related field; experience in cloud data engineering preferred.
- Other info: Be part of an inclusive team that values diversity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Data Engineer role at Hyper Recruitment Solutions. An exciting contract role has arisen for a Senior Data Engineer to join a leading biopharma company based in central London, with the flexibility of working two days from home. As a Senior Data Engineer, you will play a crucial role in managing and optimising data processes, with a strong focus on machine learning applications.
Key Duties And Responsibilities
- Develop and maintain robust data pipelines using Python, ensuring efficient data loading and dataset management with PyTorch.
- Manage and optimise blob storage for unstructured data, preferably using Google Cloud Storage (GCS) or AWS S3.
- Utilise BigQuery in Google Cloud Platform (GCP) and SQL databases such as Microsoft SQL Server or PostgreSQL to manage and query large datasets.
- Implement effective memory management strategies to enhance data processing efficiency.
Role Requirements
- Relevant degree in a related field such as Computer Science, Data Science, or Engineering.
- Extensive industry experience in cloud data engineering, with a strong preference for experience in GCP.
- A working knowledge and practical experience with PyTorch, particularly in data loading and dataset management.
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.
Data Engineer employer: Hyper Recruitment Solutions
Contact Detail:
Hyper Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, and cloud platforms like GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've optimised data processes in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team at Hyper Recruitment Solutions.
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 Python, PyTorch, and cloud platforms like GCP or AWS. We want to see how your skills match the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a perfect fit for this role. Let us know what excites you about working with us at Hyper Recruitment Solutions.
Showcase Relevant Projects: If you've worked on any projects involving data pipelines or machine learning, make sure to mention them! We love seeing practical examples of your work, especially if they involve technologies like BigQuery or SQL databases.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Hyper Recruitment Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PyTorch, and Google Cloud Platform. Brush up on your knowledge of data pipelines and how to optimise them, as this will likely come up during technical questions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've implemented data pipelines or worked with machine learning applications. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Focus
Research Hyper Recruitment Solutions and their work in the biopharma sector. Understanding their mission and how your role as a Data Engineer fits into their goals will help you tailor your answers and show genuine interest in the position.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face in data management. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
