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Data Engineering Manager(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Ralph Kimball dimensional modelling
- star schema
- data cube modelling
- cloud-based data platforms
- data pipelines
- AI
- Agile
- Scrum
- Kanban
Benefits
Flexibles Arbeiten
- Flexible four-day work week
- Flexi-Office
- Hybrid/remote work
- Remote workspace setup support
Mehr Urlaubstage
- Full annual holiday allowance
- Paid special leaves
Sonstige Zulagen
- Monthly remote working allowance
- Meal vouchers
Gesundheits- & Fitnessangebote
- Family health, vision, and dental insurance
Ergonomischer Arbeitsplatz
- Remote working furniture package
Mitarbeiterrabatte
- Peer-to-peer voucher program
Noch nicht perfekt?
- AwinVollzeitmit HomeofficeSeniorBerlin, Hannover, München
- RoomPriceGenie
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Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München
Data Engineering Manager(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Ralph Kimball dimensional modelling
- star schema
- data cube modelling
- cloud-based data platforms
- data pipelines
- AI
- Agile
- Scrum
- Kanban
Benefits
Flexibles Arbeiten
- Flexible four-day work week
- Flexi-Office
- Hybrid/remote work
- Remote workspace setup support
Mehr Urlaubstage
- Full annual holiday allowance
- Paid special leaves
Sonstige Zulagen
- Monthly remote working allowance
- Meal vouchers
Gesundheits- & Fitnessangebote
- Family health, vision, and dental insurance
Ergonomischer Arbeitsplatz
- Remote working furniture package
Mitarbeiterrabatte
- Peer-to-peer voucher program
Über das Unternehmen
Awin
Branche
Marketing
Beschreibung
Das Unternehmen Awin ist stolz auf eine dynamische, soziale und inklusive Kultur und strebt danach, das weltweit führende offene Partner-Ökosystem aufzubauen.
Noch nicht perfekt?
- Awin
Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München - RoomPriceGenie
Associate Data Engineering Manager(m/w/x)
VollzeitRemoteManagementMannheim, Berlin - Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - RoomPriceGenie
Hands-On Data Engineering Manager(m/w/x)
VollzeitRemoteManagementMannheim, Berlin - Awin
Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München