Vestiaire Collective
Data Engineering Manager(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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AWAwin
Data Engineering Manager(m/w/x)
Berlin, Hannover, München
Full-timeWith Home OfficeManagement
Data Science
Nejo AI Summary
Leading 6-12 data engineers in building scalable data solutions for an open partner ecosystem. 5+ years people management experience required. Flexible four-day Flexi-Week, full pay, and paid special leaves.
Requirements
- 8+ years data engineering experience
- 5+ years people management experience
- Technical leadership experience
- Deep understanding of Ralph Kimball dimensional modelling
- Star schema design
- Data cube modelling
- Building cloud-based data platforms
- Optimising cloud-based data platforms
- Building scalable data pipelines
- Optimising scalable data pipelines
- Experience in cross-functional environments
- Collaboration with product teams
- Collaboration with business stakeholders
- Working with analytics teams
- Working with software engineering teams
- Building cloud-based solutions
- Supporting large-scale analytics workloads
- Ensuring reliable data delivery
- Familiarity with data governance
- Familiarity with security best practices
- Familiarity with compliance requirements
- Strong knowledge of Agile delivery frameworks
- Ability to shape engineering processes
- Ability to improve engineering processes
- Bachelor’s degree or higher in related field
- Strong interest in people management
- Hiring experience
- Supporting career development
- Giving clear feedback
- Handling team conflicts constructively
- Proven experience leading data engineers
- Proven experience mentoring data engineers
- Leading within cross-functional teams
- Mentoring within cross-functional teams
- Ability to monitor individual performance
- Provide constructive feedback
- Mediate conflicts effectively
- Collaborative mindset
- Openness to feedback
- Willingness to compromise
- Eagerness to learn new technologies
- Eagerness to learn new ways of working
- Openness to new perspectives
- Deepening own area of expertise
Tasks
- Lead a team of 6-12 data engineers
- Foster a collaborative and ownership-driven environment
- Support continuous learning and professional growth
- Deliver reliable and scalable data solutions
- Work with product owners and stakeholders to align business needs
- Ensure technical quality and long-term scalability
- Remove blockers and accelerate decision-making
- Encourage strong engineering practices
- Support hiring and career development
- Create autonomous, high-performing teams
- Build scalable AI-ready analytics solutions
- Promote a culture of knowledge sharing and continuous improvement
- Ensure clear ownership within the team
- Lead the delivery of data solutions that support business goals
- Balance effort and impact for practical solutions
- Manage incidents with rapid escalation and clear communication
- Set meaningful growth milestones
- Lead career progression conversations
- Align individual success with team outcomes
Work Experience
- 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
Competitive Pay
- Full pay
More Vacation Days
- Paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health, vision, and dental insurance for employee and one family member
Ergonomic Workplace
- Remote working furniture package after 3 months
Corporate Discounts
- Peer-to-peer voucher program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Awin and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AWAwin
Data Engineering Manager(m/w/x)
Berlin, Hannover, München
Full-timeWith Home OfficeManagement
Data Science
Nejo AI Summary
Leading 6-12 data engineers in building scalable data solutions for an open partner ecosystem. 5+ years people management experience required. Flexible four-day Flexi-Week, full pay, and paid special leaves.
Requirements
- 8+ years data engineering experience
- 5+ years people management experience
- Technical leadership experience
- Deep understanding of Ralph Kimball dimensional modelling
- Star schema design
- Data cube modelling
- Building cloud-based data platforms
- Optimising cloud-based data platforms
- Building scalable data pipelines
- Optimising scalable data pipelines
- Experience in cross-functional environments
- Collaboration with product teams
- Collaboration with business stakeholders
- Working with analytics teams
- Working with software engineering teams
- Building cloud-based solutions
- Supporting large-scale analytics workloads
- Ensuring reliable data delivery
- Familiarity with data governance
- Familiarity with security best practices
- Familiarity with compliance requirements
- Strong knowledge of Agile delivery frameworks
- Ability to shape engineering processes
- Ability to improve engineering processes
- Bachelor’s degree or higher in related field
- Strong interest in people management
- Hiring experience
- Supporting career development
- Giving clear feedback
- Handling team conflicts constructively
- Proven experience leading data engineers
- Proven experience mentoring data engineers
- Leading within cross-functional teams
- Mentoring within cross-functional teams
- Ability to monitor individual performance
- Provide constructive feedback
- Mediate conflicts effectively
- Collaborative mindset
- Openness to feedback
- Willingness to compromise
- Eagerness to learn new technologies
- Eagerness to learn new ways of working
- Openness to new perspectives
- Deepening own area of expertise
Tasks
- Lead a team of 6-12 data engineers
- Foster a collaborative and ownership-driven environment
- Support continuous learning and professional growth
- Deliver reliable and scalable data solutions
- Work with product owners and stakeholders to align business needs
- Ensure technical quality and long-term scalability
- Remove blockers and accelerate decision-making
- Encourage strong engineering practices
- Support hiring and career development
- Create autonomous, high-performing teams
- Build scalable AI-ready analytics solutions
- Promote a culture of knowledge sharing and continuous improvement
- Ensure clear ownership within the team
- Lead the delivery of data solutions that support business goals
- Balance effort and impact for practical solutions
- Manage incidents with rapid escalation and clear communication
- Set meaningful growth milestones
- Lead career progression conversations
- Align individual success with team outcomes
Work Experience
- 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
Competitive Pay
- Full pay
More Vacation Days
- Paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health, vision, and dental insurance for employee and one family member
Ergonomic Workplace
- Remote working furniture package after 3 months
Corporate Discounts
- Peer-to-peer voucher program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Awin and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Awin
Industry
Marketing
Description
Das Unternehmen Awin ist stolz auf eine dynamische, soziale und inklusive Kultur und strebt danach, das weltweit führende offene Partner-Ökosystem aufzubauen.
Not a perfect match?
- Vestiaire Collective
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Engineering Manager - Rewards(m/w/x)
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Associate Data Engineering Manager(m/w/x)
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