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- Tasks: Lead the design of backend architecture and APIs for innovative applications.
- Company: Join a pioneering tech company working across diverse sectors like defence and finance.
- Benefits: Enjoy a hybrid work model with competitive salary and opportunities for growth.
- Why this job: Shape the future of technology while collaborating with passionate professionals in a dynamic environment.
- Qualifications: Over six years in data engineering, strong AWS skills, and proficiency in Python & SQL required.
- Other info: Active SC Clearance is necessary to apply; bring your passion for data engineering!
The predicted salary is between 96000 - 104000 £ per year.
SR2 are currently looking for a highly motivated Lead Data Engineer for a pioneering tech company, who work across a range of sectors (including defence, aerospace, finance, and insurance). As the Lead Data Engineer (Back End), you will shape the future of our application's backend architecture, APIs, and infrastructure.
Location: London | Hybrid (2 days a week onsite).
Salary: £120,000 - 130,000.
Requirements:
- Over six years of experience in data engineering, with at least two years working at a staff/principal level.
- Strong stakeholder experience with an ability to work with both technical and non-technical stakeholders.
- Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.).
- Proficient in Python & SQL.
- Experience with Terraform to manage IaC.
- Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing.
- Proven ability to build secure, scalable, and maintainable backend services and API layers.
- Experience working with large datasets, optimising data structures and queries for performance.
This company is seeking someone with a great personality, who has a real passion for data engineering and is willing to work hard to drive the technical direction of the business.
Note: You must have active SC Clearance to apply for this role. If interested, please apply with your updated CV and we’ll line up a call to discuss the details. Look forward to hearing from you all!
Lead Data Engineer (Back End) employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Back End)
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with AWS services. Attend meetups or webinars related to data engineering to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your experience with backend architecture and APIs by discussing relevant projects during interviews. Be prepared to explain how you’ve optimised data structures and queries for performance in past roles.
✨Tip Number 3
Demonstrate your ability to work with both technical and non-technical stakeholders by preparing examples of how you've successfully communicated complex data concepts to diverse audiences.
✨Tip Number 4
Since active SC Clearance is required, ensure that you have your clearance status ready to discuss. If you don’t have it yet, consider looking into the process to obtain it as it could be a significant advantage.
We think you need these skills to ace Lead Data Engineer (Back End)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly your six years of experience and any leadership roles. Emphasise your proficiency in Python, SQL, and AWS services, as well as your experience with Terraform.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to work with both technical and non-technical stakeholders. Mention specific projects where you've built secure and scalable backend services or APIs.
Highlight Your Stakeholder Experience: In your application, provide examples of how you've successfully collaborated with stakeholders. This could include instances where you translated technical concepts for non-technical audiences or led discussions on project direction.
Showcase Your Technical Skills: Be specific about your technical skills in your application. List the AWS services you have worked with, your experience with data modelling, ETL/ELT processes, and any large datasets you've optimised. This will demonstrate your fit for the role.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS services, Python, SQL, and Terraform in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the technical demands of the role.
✨Communicate Effectively with Stakeholders
Since the role requires working with both technical and non-technical stakeholders, practice explaining complex data engineering concepts in simple terms. This will show your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Demonstrate Your Passion for Data Engineering
Let your enthusiasm for data engineering shine through during the interview. Share what excites you about the field, any personal projects you've undertaken, or how you stay updated with industry trends. A genuine passion can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare examples of challenges you've faced in previous roles, particularly related to backend architecture and data optimisation, and explain how you approached and resolved them.
