Awin
Engineering Manager(m/w/x)
Full-timeWith HomeofficeSenior
Berlin, Hannover, München
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AWAwin
Data Engineering Manager(m/w/x)
Berlin, Hannover, München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading 6-12 data engineers, building and improving an Affiliate Marketing data platform. 8+ years data engineering, 5+ years people management, and Kimball dimensional modeling expertise required. Flexible four-day work week.
Requirements
- 8+ years professional experience in data engineering
- 5+ years people management experience
- 5+ years technical leadership experience
- Deep understanding of Ralph Kimball dimensional modelling best practices
- Star schema design
- Data cube modelling
- Experience building cloud-based data platforms
- Experience optimising cloud-based data platforms
- Experience building scalable data pipelines
- Experience optimising scalable data pipelines
- Analytical model development
- AI-ready analytics
- Experience working in cross-functional environments
- Collaboration with product teams
- Collaboration with business stakeholders
- Experience working with analytics teams
- Experience working with software engineering teams
- Building cloud-based solutions for large-scale analytics workloads
- Reliable data delivery
- Familiarity with data governance
- Familiarity with security best practices
- Familiarity with compliance requirements
- Strong knowledge of Agile delivery frameworks (Scrum or Kanban)
- Ability to shape engineering processes
- Ability to improve engineering processes
- Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or related field (preferred)
- Strong interest in people management
- Hiring skills
- Career development support
- Clear feedback provision
- Constructive team conflict handling
- Proven experience leading data engineers
- Proven experience mentoring data engineers
- Ability to monitor individual performance
- Ability to provide constructive feedback
- Ability to mediate conflicts effectively
- Collaborative mindset
- Openness to feedback
- Willingness to compromise
- Eagerness to learn new technologies
- Openness to new ways of working
- Openness to new perspectives
- Deepening own area of expertise
Tasks
- Lead a team of 6–12 data engineers
- Guide the team technically
- Build and improve the Affiliate Marketing data platform
- Create autonomous, high-performing teams
- Ensure team growth and engagement
- Collaborate with engineers and data scientists
- Build scalable, AI-ready analytics solutions
- Establish clear team ownership
- Foster a culture of autonomy
- Promote knowledge sharing and continuous improvement
- Lead delivery of data solutions
- Ensure solutions support business goals
- Ensure good engineering practices
- Partner with product and engineering leaders
- Balance effort and impact for solutions
- Deliver real value through practical solutions
- Aggressively remove blockers
- Accelerate decision-making
- Enforce radical ownership and accountability
- Act as a proactive incident manager
- Ensure rapid incident escalation
- Communicate incident progress clearly
- Align incident resolution with domain goals
- Develop team members
- Set meaningful growth milestones
- Lead career progression conversations
- Align individual success with team outcomes
- Support hiring efforts
- Ensure team health and success
- Balance technical quality, speed, and scalability
Work Experience
- 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Ralph Kimball dimensional modelling
- star schema
- data cube modelling
- cloud-based data platforms
- data pipelines
- AI
- Agile
- Scrum
- Kanban
Benefits
Flexible Working
- Flexible four-day work week
- Flexi-Office
- Hybrid/remote work
- Remote workspace setup support
More Vacation Days
- Full annual holiday allowance
- Paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Family health, vision, and dental insurance
Ergonomic Workplace
- Remote working furniture package
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 OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading 6-12 data engineers, building and improving an Affiliate Marketing data platform. 8+ years data engineering, 5+ years people management, and Kimball dimensional modeling expertise required. Flexible four-day work week.
Requirements
- 8+ years professional experience in data engineering
- 5+ years people management experience
- 5+ years technical leadership experience
- Deep understanding of Ralph Kimball dimensional modelling best practices
- Star schema design
- Data cube modelling
- Experience building cloud-based data platforms
- Experience optimising cloud-based data platforms
- Experience building scalable data pipelines
- Experience optimising scalable data pipelines
- Analytical model development
- AI-ready analytics
- Experience working in cross-functional environments
- Collaboration with product teams
- Collaboration with business stakeholders
- Experience working with analytics teams
- Experience working with software engineering teams
- Building cloud-based solutions for large-scale analytics workloads
- Reliable data delivery
- Familiarity with data governance
- Familiarity with security best practices
- Familiarity with compliance requirements
- Strong knowledge of Agile delivery frameworks (Scrum or Kanban)
- Ability to shape engineering processes
- Ability to improve engineering processes
- Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or related field (preferred)
- Strong interest in people management
- Hiring skills
- Career development support
- Clear feedback provision
- Constructive team conflict handling
- Proven experience leading data engineers
- Proven experience mentoring data engineers
- Ability to monitor individual performance
- Ability to provide constructive feedback
- Ability to mediate conflicts effectively
- Collaborative mindset
- Openness to feedback
- Willingness to compromise
- Eagerness to learn new technologies
- Openness to new ways of working
- Openness to new perspectives
- Deepening own area of expertise
Tasks
- Lead a team of 6–12 data engineers
- Guide the team technically
- Build and improve the Affiliate Marketing data platform
- Create autonomous, high-performing teams
- Ensure team growth and engagement
- Collaborate with engineers and data scientists
- Build scalable, AI-ready analytics solutions
- Establish clear team ownership
- Foster a culture of autonomy
- Promote knowledge sharing and continuous improvement
- Lead delivery of data solutions
- Ensure solutions support business goals
- Ensure good engineering practices
- Partner with product and engineering leaders
- Balance effort and impact for solutions
- Deliver real value through practical solutions
- Aggressively remove blockers
- Accelerate decision-making
- Enforce radical ownership and accountability
- Act as a proactive incident manager
- Ensure rapid incident escalation
- Communicate incident progress clearly
- Align incident resolution with domain goals
- Develop team members
- Set meaningful growth milestones
- Lead career progression conversations
- Align individual success with team outcomes
- Support hiring efforts
- Ensure team health and success
- Balance technical quality, speed, and scalability
Work Experience
- 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Ralph Kimball dimensional modelling
- star schema
- data cube modelling
- cloud-based data platforms
- data pipelines
- AI
- Agile
- Scrum
- Kanban
Benefits
Flexible Working
- Flexible four-day work week
- Flexi-Office
- Hybrid/remote work
- Remote workspace setup support
More Vacation Days
- Full annual holiday allowance
- Paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Family health, vision, and dental insurance
Ergonomic Workplace
- Remote working furniture package
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.
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?
- Awin
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Hands-On Data Engineering Manager(m/w/x)
Full-timeRemoteManagementMannheim, Berlin - Awin
Engineering Manager(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Hannover, München