Data Engineering Manager

The Big Data Group is responsible for processing, storing, and delivering meaningful information both within the Adform Flow product and to external clients. Its work begins once raw internet data is captured and available in the Adform environment. The group’s processing mechanisms transform raw data into augmented, valuable information, which is stored in Vertica and HDFS. Several development teams operate within the group, each focused on building microservices that handle real-time data. These services support various domains such as DMP, Reporting, Algo, and Research. The Engineering Manager role in Big Data oversees two of these teams.

The Engineering Manager works closely with Product Managers and the Product Director to coordinate delivery against the product roadmap, and with Architects to ensure teams understand and align with the agreed technical direction and requirements. We hope you are ready to change the game! Team Leadership & Development: Hire, mentor, and grow engineers, fostering a culture of ownership, collaboration, and continuous learning

Project Delivery: Plan, prioritise, and oversee execution of backend projects, ensuring timely and high-quality delivery

Continuously refine team processes (agile, CI/CD, testing) to boost productivity and quality

Stakeholder Communication: Communicate progress, risks, and technical trade-offs effectively with leadership and non-technical stakeholders

Technical Guidance: Technically aware to support and challenge the team in making architectural and design decisions, ensuring solutions are scalable, secure, and maintainable

We can grow together faster if you have:

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. 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

Stand out by having :

Technical background in backend engineering, distributed systems, or Big Data, enabling you to effectively support and challenge technical decisions made by the team

Understanding of Big Data and cloud technologies, such as Kafka, Hadoop, Vertica, or public cloud platforms

Experience working in AdTech or other data-intensive technology domains

Experience leading technically strong engineering teams and creating an environment where engineers can grow, take ownership, and continuously improve

Work in a highly dynamic, inspiring, and international environment

Daily opportunities for rapid learning and professional development and annual learning budget to help you grow your skills and support continuous learning

Supportive Leadership: Transparent communication and leadership committed to supporting your career trajectory

Robust healthcare benefits, including health (LuxMed VIP package with a dedicated