Purpose of Position
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
Key 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.
Skills & Expertise
Required
- 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
Our 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.
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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