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As a Data Engineering Manager in a Data Engineering domain, you lead a team of 6–12 data engineers and help them succeed while building and improving our Affiliate Marketing data platform. Your role is to create a collaborative environment where engineers take ownership, learn continuously, and deliver reliable data solutions that support the business. You guide the team technically, remove blockers, and encourage strong engineering practices. Beyond day-to-day delivery, you also support hiring, career growth, and the overall development of the team. You are responsible for the health and success of the team and the delivery of scalable data solutions. You work closely with product owners, engineers, and stakeholders to turn business needs into practical solutions, while balancing technical quality, speed, and long-term scalability
Job Responsibility:
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
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
Nice to have:
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
What we offer:
Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches
Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member
Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program