Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of 6 Data Engineers in developing and maintaining a data platform.
- Company: Join a growing financial services organisation in the heart of London.
- Benefits: Enjoy a competitive salary, hybrid working, bonuses, and additional perks.
- Why this job: Be part of an innovative team, enhance your skills, and make a real impact.
- Qualifications: Strong Python skills, AWS expertise, and experience with Data Lakes and Glue required.
- Other info: This role offers a fantastic opportunity for career growth and technical leadership.
The predicted salary is between 80000 - 120000 £ per year.
£95,000 - £105,000 pa + Benefits + Bonus
Central London with Hybrid Working
JNC are working closely with a growing financial services organisation in London that are looking to bring on a talented Lead Data Engineer that has strong python development skills as well as data focused AWS expertise. The Lead Engineer will provide technical leadership and mentoring for a team of 6 Data engineers. The team is responsible for developing and maintaining the clients data platform.
The ideal candidate will have strong skills in Software Engineering as well as Data Engineering using AWS related technologies. If your skills and experience align with the role then APPLY NOW.
Experience Required:
- Software Engineering skills with Python coding capabilities.
- Experience working with Data Lakes and Glue.
- Experience working AWS Athena.
- Experience working with CI/CD pipelines.
- Knowledge of DevOps.
- Understanding of IaC and technologies like Terraform.
Lead AWS Data Engineer (AWS, Glue, Athena) in Central London employer: JNC Recruitment Limited
Contact Detail:
JNC Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AWS Data Engineer (AWS, Glue, Athena) in Central London
✨Tip Number 1
Make sure to showcase your leadership skills during the interview. As a Lead AWS Data Engineer, you'll be expected to mentor a team, so prepare examples of how you've successfully led projects or guided colleagues in the past.
✨Tip Number 2
Brush up on your knowledge of AWS Glue and Athena. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Tip Number 3
Familiarise yourself with CI/CD pipelines and DevOps practices. You might be asked about your experience in implementing these processes, so having concrete examples will help demonstrate your expertise.
✨Tip Number 4
Understand Infrastructure as Code (IaC) and tools like Terraform. Being able to articulate how you've used IaC in previous roles can set you apart from other candidates, so prepare to discuss this in detail.
We think you need these skills to ace Lead AWS Data Engineer (AWS, Glue, Athena) in Central London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS technologies, particularly Glue and Athena. Emphasise your Python development skills and any leadership roles you've held, as this position requires mentoring a team.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for the Lead AWS Data Engineer role. Mention specific projects where you've used AWS services and how you’ve contributed to team success through technical leadership.
Showcase Relevant Projects: Include examples of relevant projects in your application that demonstrate your expertise in data engineering, CI/CD pipelines, and DevOps practices. This will help the employer see your practical experience.
Highlight Soft Skills: Don’t forget to mention your soft skills, such as communication and teamwork. As a lead engineer, your ability to mentor and guide a team is just as important as your technical skills.
How to prepare for a job interview at JNC Recruitment Limited
✨Showcase Your Python Skills
As a Lead AWS Data Engineer, your proficiency in Python is crucial. Be prepared to discuss specific projects where you've used Python for data engineering tasks, and consider sharing code snippets or examples that highlight your problem-solving abilities.
✨Demonstrate AWS Expertise
Familiarise yourself with AWS services, particularly Glue and Athena. Be ready to explain how you've implemented these technologies in past projects, including any challenges you faced and how you overcame them.
✨Highlight Leadership Experience
Since this role involves mentoring a team of Data Engineers, be sure to discuss your leadership style and any previous experience managing teams. Share examples of how you've successfully guided team members and contributed to their professional development.
✨Understand CI/CD and DevOps Practices
The company values knowledge of CI/CD pipelines and DevOps. Brush up on these concepts and be prepared to discuss how you've integrated them into your workflow, as well as the benefits they bring to data engineering projects.
