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Tech Lead Personalization(m/w/x)
Leading software engineering for data and ML platforms in personalized shopping at a retail chain with 290+ stores. 5+ years Data Engineer experience and initial team leadership expected. Flexible hours, 30 days paid vacation, 12 unpaid vacation days.
Requirements
- Completed studies in a STEM field
- At least five years of experience as Data Engineer
- Initial experience in leading a team
- Very good knowledge of Python and SQL
- Knowledge of cloud services (GCP, DevOps)
- Knowledge of Infrastructure as Code
- Knowledge of machine learning (MLOps)
- Experience in integrating SaaS solutions
- Experience with internal GCP solutions
- Very good English skills
- Ideally good German skills
Tasks
- Design and implement data mappings and flows.
- Automate and accelerate data flows and ML workloads.
- Develop data and analytics platforms.
- Create future-proof architectures and platforms.
- Lead and empower software engineering team.
- Conduct coaching and code reviews.
- Collaborate with product teams for integrative architecture.
- Contribute to Tech Lead community and improve workflows.
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- GCP
- DevOps
- Infrastructure as Code
- MLOps
Benefits
Purpose-Driven Work
- Challenging role in family business
Flexible Working
- Remote work possibility
- Flexible working hours
- Flexible working areas
More Vacation Days
- 30 days paid vacation
Modern Equipment
- Modern equipment
- State-of-the-art technologies
Free or Subsidized Food
- On-site restaurant and bistro
Childcare
- On-site daycare center
Job Security
- Permanent employment contract
Competitive Pay
- Attractive remuneration
Corporate Discounts
- Shopping discounts through employee card
- Corporate benefits
Retirement Plans
- Company pension plan
Mentorship & Coaching
- Personal and professional growth
Team Events
- Regular team events
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Tech Lead Personalization(m/w/x)
Leading software engineering for data and ML platforms in personalized shopping at a retail chain with 290+ stores. 5+ years Data Engineer experience and initial team leadership expected. Flexible hours, 30 days paid vacation, 12 unpaid vacation days.
Requirements
- Completed studies in a STEM field
- At least five years of experience as Data Engineer
- Initial experience in leading a team
- Very good knowledge of Python and SQL
- Knowledge of cloud services (GCP, DevOps)
- Knowledge of Infrastructure as Code
- Knowledge of machine learning (MLOps)
- Experience in integrating SaaS solutions
- Experience with internal GCP solutions
- Very good English skills
- Ideally good German skills
Tasks
- Design and implement data mappings and flows.
- Automate and accelerate data flows and ML workloads.
- Develop data and analytics platforms.
- Create future-proof architectures and platforms.
- Lead and empower software engineering team.
- Conduct coaching and code reviews.
- Collaborate with product teams for integrative architecture.
- Contribute to Tech Lead community and improve workflows.
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- GCP
- DevOps
- Infrastructure as Code
- MLOps
Benefits
Purpose-Driven Work
- Challenging role in family business
Flexible Working
- Remote work possibility
- Flexible working hours
- Flexible working areas
More Vacation Days
- 30 days paid vacation
Modern Equipment
- Modern equipment
- State-of-the-art technologies
Free or Subsidized Food
- On-site restaurant and bistro
Childcare
- On-site daycare center
Job Security
- Permanent employment contract
Competitive Pay
- Attractive remuneration
Corporate Discounts
- Shopping discounts through employee card
- Corporate benefits
Retirement Plans
- Company pension plan
Mentorship & Coaching
- Personal and professional growth
Team Events
- Regular team events
About the Company
BAUHAUS
Industry
Retail
Description
Das Unternehmen BAUHAUS bietet eine Vielzahl von Produkten für Heimwerker-Projekte und legt Wert auf Respekt und Zusammenhalt im Team.
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