Data Engineering Manager
A
Awin Affiliate Marketing
Berlin, Berlin, Germany; Hannover, Lower Saxony, Germany; Iași, Iași, Romania; London, England, United Kingdom; Madrid, Madrid, Spain; Milano, Milan, Italy; München, Bavaria, Germany; Warsaw, Masovian Voivodeship, PolandFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 8+ years of professional experience in data engineering, including 5+ years of people management and technical leadership experience.
- Required Skills
- AgilePeople ManagementSCRUMData engineering
Requirements
- 8+ years of professional experience in data engineering, including 5+ years of people management and technical leadership experience.
- Deep understanding of Ralph Kimball dimensional modelling best practices, including star schema design and data cube modelling to support scalable analytics and reporting.
- Experience building and optimising cloud-based data platforms and scalable data pipelines that support analytical model development and AI-ready analytics.
- Experience working in cross-functional environments, collaborating closely with product teams and business stakeholders
- Experience working with analytics and software engineering teams to build cloud-based solution that support large-scale analytics workloads and reliable data delivery
- Familiarity with data governance, security best practices, and compliance requirements.
- Strong knowledge of Agile delivery frameworks such as Scrum or Kanban, with the ability to shape and improve engineering processes
- Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field with a focus on data, business intelligence, or analytics is preferred.
- Strong interest in people management, including hiring, supporting career development, giving clear feedback, and handling team conflicts in a constructive way.
- Proven experience leading and mentoring data engineers within cross-functional data and analytical teams.
- Ability to monitor individual performance, provide constructive feedback, and mediate conflicts effectively.
- A collaborative mindset, openness to feedback, and willingness to compromise to achieve the best possible outcomes.
- Eager to learn new technologies and new ways to work and open to new perspectives whilst deepening on own area of expertise
Responsibilities
- Create autonomous, high-performing teams, ensuring their growth, and engagement.
- Work closely with engineering, product and analytical engineers and data scientists to build scalable AI-ready analytics solution.
- Create clear ownership within the team and encourage a culture of autonomy, knowledge sharing and continuous improvements.
- Lead the delivery of data solutions, ensuring they support business goals and follow good engineering practices.
- Partner with product owners and engineering leaders to balance effort and impact focusing on practical solutions that deliver real value.
- Aggressively removes blockers and accelerates decision-making; enforces a culture of radical ownership and end-to-end accountability.
- Serves as a proactive incident manager; ensures rapid escalation, clear communication on progress, and directional alignment with domain goals.
- Directly responsible for the development of people; sets meaningful growth milestones, leads career progression conversations, and aligns individual success with team outcomes.
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