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Manager, Engineering (Big Data)

Adform

Vilnius, Lithuania
EUR 5,440 - 8,160/year
full time
Posted 4/17/2026
onsite
ℹ

JobForYou Recommendation

This Lead Engineering Manager role at Adform offers a compelling opportunity for experienced leaders in the Big Data space. You'll be overseeing multiple teams, driving high-level performance, and shaping the future of Adform's data processing capabilities. With a strong focus on team development, technical guidance, and operational excellence, this position is ideal for someone looking to make a significant impact within a leading AdTech company.

About the Role

The Big Data Group at Adform is responsible for processing, storing, and delivering meaningful information both within the Adform Flow product and to external clients. This involves transforming raw internet data into augmented, valuable information, stored in Vertica and HDFS, using microservices built by several development teams. These services support domains such as DMP, Reporting, Algo, and Research. The Engineering Manager role in Big Data oversees two or three of these teams. This position is accountable for people management, delivery of development outcomes, and stakeholder alignment. Ultimately, the role ensures that teams perform at a high level while meeting organisational goals. Adform is a powerful and safe media buying platform with over 20 years of experience, enabling major brands, agencies, and publishers to create, buy, and sell digital advertising globally.

Responsibilities

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

Requirements

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 Prior development experience in back-end micro services in Scala / Java / Python in Big Data Domain (preferred) Knowledge on technology used in Big Data domain like Kafka, Hadoop, Vertica, Cloud technology (preferred) Prior experience in Adtech domain (preferred)

Tech Stack

VerticaHDFSScalaJavaPythonKafkaHadoopCloud technologiesMicroservicesAgileCI/CD

Benefits

  • Competitive compensation package
  • Family benefits
  • Additional vacation days
  • Comprehensive healthcare benefits
  • Accident insurance
  • On-site canteen
  • Wellness benefits
  • Sports benefits
  • Massage benefits
  • Engaging social initiatives
  • Company events
Experience Level
lead
Remote Policy
onsite
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