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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
Not a perfect match?
- BAUHAUSFull-time/Part-timeWith HomeofficeExperiencedMannheim
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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
The company focuses on digitalization to enhance the shopping experience, operating over 290 specialist centers in 19 countries and ranking among the top 50 online stores in Germany.
Not a perfect match?
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