Manager, Engineering (Big Data)

Adform is seeking an experienced Engineering Manager to lead two teams within their Big Data Group. This group is crucial for processing, storing, and delivering meaningful information within the Adform Flow product and to external clients, handling everything from raw internet data capture to its transformation into valuable insights stored in Vertica and HDFS. The role focuses on building microservices for real-time data across various domains like DMP, Reporting, Algo, and Research. The Engineering Manager will be responsible for people management, ensuring the delivery of development outcomes, and aligning with stakeholders. This includes fostering a culture of ownership and continuous learning, overseeing backend project execution, and driving operational excellence in system reliability and performance. The ideal candidate will have a strong leadership background in managing engineering teams, excellent communication skills, and a solid understanding of engineering best practices.

Hire, mentor, and grow engineers, fostering a culture of ownership, collaboration, and continuous learning Plan, prioritise, and oversee execution of backend projects, ensuring timely and high-quality delivery Work closely with product owners, other development teams, architects to achieve business goals Own system reliability, performance, and monitoring; drive incident management and root-cause analysis Continuously refine team processes (agile, CI/CD, testing) to boost productivity and quality Communicate progress, risks, and technical trade-offs effectively with leadership and non-technical stakeholders Technically aware to support and challenge the team in making architectural and design decisions, ensuring solutions are scalable, secure, and maintainable

Proven leadership experience in managing backend or cross-functional engineering teams Excellent communication and collaboration skills to align engineers, product, and business stakeholders Experience in project delivery with agile practices, prioritisation, and balancing short- vs. long-term goals Ability to mentor and grow engineers, fostering career development and high performance Solid understanding of engineering best practices Problem-solving and decision-making skills with a balance of technical depth and business impact Track record of driving operational excellence in areas like performance, reliability, and incident management