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
#J-18808-Ljbffr