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Head of Data Engineering

SC3847_1728576156
  • £90000 - £110000 per annum
  • Milton Keynes, Buckinghamshire

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 focussed start up, 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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