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- Tasks: Lead and mentor a data engineering team while designing and maintaining data infrastructure.
- Company: Join a dynamic Cyber-focused startup that values innovation and collaboration.
- Benefits: Enjoy unlimited annual leave, equity in the business, and a competitive salary of £90k-£110k.
- Why this job: Be at the forefront of cybersecurity, tackling complex challenges and driving impactful solutions.
- Qualifications: 8+ years of experience in data engineering, with expertise in microservices and database management.
- Other info: This role is fully remote; candidates must be UK residents eligible to work without visa support.
The predicted salary is between 72000 - 88000 £ per year.
Head of Data Engineering
£90k – £110k
UK – Fully remote
Unlimited annual leave
We are seeking a Head of Data Engineering for our client, a Cyber focused startup, on a fully remote basis. This is a great opportunity for someone who has a keen interest in Cyber Security. Alongside a starting salary of between £90k-£110k, they have some excellent benefits including unlimited annual leave and equity in the business. For this role, you MUST be resident and eligible to work in the UK, unsupported by a visa.
Key Responsibilities:
- Lead and Mentor: Guide and develop the data engineering team, fostering a culture of collaboration and continuous improvement.
- Data Infrastructure Ownership: Take a leadership role in designing, developing, and maintaining the data infrastructure that powers our cybersecurity platform, which identifies vulnerabilities for large enterprises at scale.
- Cross-functional Collaboration: Work closely with product, front-end, cybersecurity, and operations teams to ensure alignment between data initiatives and business goals, delivering solutions that meet organizational needs.
- Innovation & Problem-Solving: Drive innovation in tackling complex data engineering challenges, constantly improving how we handle, process, and visualize large volumes of data.
- Architect Scalable Solutions: Build and optimize data-driven microservices, ensuring scalability, performance, and reliability at an enterprise level.
Technical Expertise:
- Backend Technologies: FastAPI, Airflow.
- Databases: MySQL, MongoDB.
- Messaging Systems: Kafka, RabbitMQ.
Ideal Candidate Profile:
The ideal candidate will have 8+ years of experience in:
- Leading the design, development, and maintenance of critical data-driven microservices and distributed systems.
- Managing and optimizing both relational and non-relational databases to ensure performance, scalability, and reliability.
- Writing clean, maintainable, and testable code, with extensive knowledge of testing strategies and best practices for large-scale systems.
- Designing complex systems using patterns such as event-sourcing, CQRS, or similar methods to handle high data throughput and ensure scalability.
Bonus Skills:
- Experience working with large datasets and handling ‘big data’ in the context of security analysis.
- Familiarity with platform engineering and an understanding of how data engineering interacts with overall infrastructure.
- Experience working in an Agile environment with a strong focus on DevOps practices.
If you are interested in the above role – Click the ‘Apply Now’ button now for immediate review.
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Head of Data Engineering employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering. Highlight any previous roles where you guided teams or mentored junior engineers, as this is a key responsibility for the Head of Data Engineering position.
✨Tip Number 2
Familiarize yourself with the specific technologies mentioned in the job description, such as FastAPI, Airflow, MySQL, and Kafka. Being able to discuss your hands-on experience with these tools will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've driven innovation in past projects. Be ready to discuss complex data engineering challenges you've faced and the creative solutions you implemented to overcome them.
✨Tip Number 4
Since collaboration is crucial for this role, think of instances where you've successfully worked with cross-functional teams. Be prepared to share how you aligned data initiatives with business goals in those situations.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in leading teams and working with technologies like FastAPI, Airflow, MySQL, and MongoDB. Emphasize any relevant projects that showcase your ability to handle large datasets and complex systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cybersecurity and how your background aligns with the company's goals. Mention specific examples of how you've driven innovation and solved complex data challenges in previous roles.
Showcase Leadership Experience: Since the role involves leading and mentoring a team, be sure to include examples of your leadership experience. Discuss how you've fostered collaboration and continuous improvement within your teams.
Highlight Technical Expertise: Clearly outline your technical skills related to backend technologies, databases, and messaging systems. If you have experience with Agile and DevOps practices, make sure to mention that as well, as it aligns with the ideal candidate profile.
How to prepare for a job interview at Circle Group
✨Show Your Leadership Skills
As a Head of Data Engineering, you'll be expected to lead and mentor your team. Be prepared to discuss your leadership style and provide examples of how you've successfully guided teams in the past.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with backend technologies like FastAPI and Airflow, as well as your knowledge of databases such as MySQL and MongoDB. Be ready to discuss specific projects where you utilized these technologies.
✨Discuss Cross-Functional Collaboration
This role requires working closely with various teams. Prepare to share examples of how you've collaborated with product, cybersecurity, and operations teams to achieve common goals and deliver successful data solutions.
✨Innovate and Problem-Solve
The company values innovation in tackling complex challenges. Think of instances where you've driven innovation in data engineering or solved significant problems, and be ready to discuss your thought process and outcomes.
