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- Tasks: Lead the design and delivery of data platforms using AWS to support health research.
- Company: Join a health-focused non-profit in Cambridge making a real difference in public health.
- Benefits: Enjoy flexible hybrid working, competitive salary, pension, and wellbeing support.
- Why this job: Make an impact on lives while working in a collaborative and supportive environment.
- Qualifications: Strong AWS experience, database knowledge, and leadership skills required.
- Other info: Remote work available; applicants must be UK-based with the right to work.
The predicted salary is between 40000 - 77000 £ per year.
Our client, a health-focused non-profit based in Cambridge, is seeking a Lead Data Engineer with deep AWS expertise to help shape their cloud data infrastructure. This role is ideal for someone passionate about using data to support health research and services that positively impact lives.
Key Responsibilities:
- Lead the architecture and delivery of scalable data platforms using Amazon Web Services (AWS).
- Build and maintain end-to-end data pipelines and support the team in adopting CI/CD practices.
- Leverage AWS tools such as S3, Glue, Redshift, and Lambda to process and analyse data efficiently.
- Use scripting languages such as Python, Bash, or R to automate workflows and develop data solutions.
- Implement version control through Git and GitHub, and contribute to a collaborative development environment.
- Manage a wide range of databases including MySQL, PostgreSQL, and PostGIS.
- Provide mentorship and leadership to a small team, encouraging best practices and continuous learning.
Essential Skills & Experience:
- Strong commercial experience working with AWS infrastructure and services.
- Excellent knowledge of cloud security, scalability and best practices.
- Track record of managing CI/CD pipelines and supporting DevOps culture.
- Strong database knowledge and advanced scripting capabilities.
- Proven ability to manage multiple projects and lead a technical team.
What’s on Offer:
- Competitive salary and benefits package.
- Flexible hybrid working (home/office based in Cambridge).
- A meaningful role with an organisation dedicated to public health.
- Pension, wellbeing support, and a collaborative working culture.
Location: Cambridge, UK
Salary: £50,000 - £55,000 + Bonus + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK even though remote work is available.
Lead Data Engineer (Cambridge) employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Cambridge)
✨Tip Number 1
Familiarise yourself with the specific AWS tools mentioned in the job description, such as S3, Glue, and Redshift. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the health charity sector by following relevant organisations on social media or joining forums. This will not only keep you updated on industry trends but also demonstrate your passion for using data to support health research.
✨Tip Number 3
Consider contributing to open-source projects or creating your own GitHub repositories that highlight your expertise in Python and ETL processes. This practical demonstration of your skills can impress potential employers.
✨Tip Number 4
Network with professionals in the data engineering field, especially those working in non-profit or health sectors. Attend meetups or webinars to build connections that could lead to referrals or insights about the role.
We think you need these skills to ace Lead Data Engineer (Cambridge)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and data engineering. Use specific examples that demonstrate your expertise in building scalable data platforms and managing CI/CD pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for health research and how your skills can contribute to the non-profit sector. Mention your leadership experience and your ability to mentor a team, as this is crucial for the role.
Highlight Relevant Projects: Include any relevant projects in your application that showcase your experience with the tech stack mentioned, such as AWS tools, ETL processes, and database management. This will help demonstrate your hands-on experience.
Showcase Soft Skills: In addition to technical skills, emphasise your soft skills like teamwork, communication, and adaptability. These are important for a collaborative environment and will set you apart from other candidates.
How to prepare for a job interview at Noir
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services during the interview. Be prepared to discuss specific projects where you've used tools like S3, Glue, and Redshift, as this will demonstrate your capability to lead the architecture of scalable data platforms.
✨Demonstrate Your Scripting Skills
Since scripting is a key part of the role, come ready to talk about your proficiency in Python, Bash, or R. You might even want to prepare examples of how you've automated workflows or developed data solutions in previous positions.
✨Discuss CI/CD Practices
The role requires managing CI/CD pipelines, so be sure to explain your experience with these practices. Discuss any tools you've used for version control, like Git and GitHub, and how you've contributed to a collaborative development environment.
✨Emphasise Leadership and Mentorship
As a Lead Data Engineer, you'll need to provide mentorship to your team. Share examples of how you've led teams in the past, encouraged best practices, and fostered a culture of continuous learning. This will show that you're not just technically skilled but also a great leader.
