Lead, support, and develop a team of data and backend engineers, fostering an inclusive environment for growth.
Collaborate with product managers, business partners, and engineering teams to prioritize and build data products enhancing subscription experiences.
Guide development of reliable, scalable data pipelines and backend services supporting targeting, messaging, personalisation, and machine learning.
Help the team make informed technical decisions balancing data quality, reliability, business needs, and maintainability.
Provide regular feedback, coaching, career development, and opportunities to share knowledge with engineers.
Collaborate across teams to manage dependencies, resolve challenges, and build shared data solutions.
Improve engineering practices including service reliability, sustainable on-call processes, and responsible data management.
Explore opportunities to use AI and automation to simplify workflows, improve data quality, and support team efforts.
Requirements
Experience leading data or backend engineering teams with a focus on engineer development.
Background in software or data engineering with ability to lead technical discussions on data architecture, distributed systems, scalability, and reliability.
Ability to balance team development, technical decisions, and delivery priorities to achieve impactful results.
Experience with large-scale data pipelines, data platforms, or backend services; familiarity with Google Cloud, BigQuery, Apache Beam, Dataflow, dbt, Flyte, Airflow, Scala, or Java is valuable.
Capability to navigate changing priorities, make informed decisions, and guide the team through ambiguity.
Strong communication skills and ability to build effective partnerships across product, business, and engineering teams.
Commitment to valuing diverse perspectives, encouraging feedback, and fostering a respectful and supportive environment.
Nice to Haves
Interest in new technologies, especially AI and automation, and enthusiasm for improving team workflows and value delivery.
Perks and Benefits
Flexible work location within the EMEA region (excluding France due to on-call restrictions).
Collaboration aligned to Central European and GMT time zones.