We're seeking a motivated and experienced Data Platform Teamlead to join our skilled team. The ideal candidate has a strong technical background, at least 5 years' experience as a Data or Platform Engineer, and excellent leadership skills. We're looking for someone who shares our passion and drive for excellence.
What impact do you have?- Lead a team of data devops professionals focused on developing our data platform
- Provide guidance and mentorship to team members to promote professional and individual growth and development
- Together with the product owner and the team, you focus on ensuring the greatest possible benefit for our customers and our employees
- Design, develop, and operate scalable data platform solutions that support our growing data needs.
- Optimize and tune data platform for performance, scalability, and reliability
- Collaborate with data scientists, analysts, and engineers to understand data requirements and ensure data accessibility and quality
- Implement data security and privacy measures to protect sensitive information
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or related
- At least 5 years of experience • as Data Engineer or Data Platform Engineer
- English (business fluent), German (excellent knowledge) •
- Bachelor's or Master's degree in computer science, data focused area or a related field
- Proficiency in Python and experience leading teams
- DevOps skills, including experience with CI/CD, infrastructure automation, configuration management, and deployment tools (e.g., Git, Docker, Kubernetes, Terraform)
- Experience in designing and building large-scale data platforms and infrastructure.
- Solid understanding of distributed systems, data processing frameworks (e.g., Spark, Airflow), and cloud technologies (ideally GCP)
- Familiarity with data warehouse solutions (preferably BigQuery) and ETL/ELT processes & tools
- Knowledge of stream processing frameworks (e.g., Kafka, Flink) is a plus
- Familiarity with data governance and compliance practices is a plus
- Demonstrating the courage to take risks and act on convictions under uncertainty
- Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
- Excellent communication and teamwork abilities in English and German
What do we offer you?- Flexible working hours •
- Flexible workplace / working from home •
- Maternity/paternity leave •
- Mobile phone subscription •
- Employee offers •
- Holidays •
- Individual continuing training •
- Initial and continuing vocation training •
- Personal responsibility & freedom •
- Room to manoeuvre and decision-making •
Application & ContactElena Efimova
People Attraction Specialist
What impact do you have?- Lead a team of data devops professionals focused on developing our data platform
- Provide guidance and mentorship to team members to promote professional and individual growth and development
- Together with the product owner and the team, you focus on ensuring the greatest possible benefit for our customers and our employees
- Design, develop, and operate scalable data platform solutions that support our growing data needs.
- Optimize and tune data platform for performance, scalability, and reliability
- Collaborate with data scientists, analysts, and engineers to understand data requirements and ensure data accessibility and quality
- Implement data security and privacy measures to protect sensitive information
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or related
- At least 5 years of experience • as Data Engineer or Data Platform Engineer
- English (business fluent), German (excellent knowledge) •
- Bachelor's or Master's degree in computer science, data focused area or a related field
- Proficiency in Python and experience leading teams
- DevOps skills, including experience with CI/CD, infrastructure automation, configuration management, and deployment tools (e.g., Git, Docker, Kubernetes, Terraform)
- Experience in designing and building large-scale data platforms and infrastructure.
- Solid understanding of distributed systems, data processing frameworks (e.g., Spark, Airflow), and cloud technologies (ideally GCP)
- Familiarity with data warehouse solutions (preferably BigQuery) and ETL/ELT processes & tools
- Knowledge of stream processing frameworks (e.g., Kafka, Flink) is a plus
- Familiarity with data governance and compliance practices is a plus
- Demonstrating the courage to take risks and act on convictions under uncertainty
- Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
- Excellent communication and teamwork abilities in English and German
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or related
- At least 5 years of experience • as Data Engineer or Data Platform Engineer
- English (business fluent), German (excellent knowledge) •
- Bachelor's or Master's degree in computer science, data focused area or a related field
- Proficiency in Python and experience leading teams
- DevOps skills, including experience with CI/CD, infrastructure automation, configuration management, and deployment tools (e.g., Git, Docker, Kubernetes, Terraform)
- Experience in designing and building large-scale data platforms and infrastructure.
- Solid understanding of distributed systems, data processing frameworks (e.g., Spark, Airflow), and cloud technologies (ideally GCP)
- Familiarity with data warehouse solutions (preferably BigQuery) and ETL/ELT processes & tools
- Knowledge of stream processing frameworks (e.g., Kafka, Flink) is a plus
- Familiarity with data governance and compliance practices is a plus
- Demonstrating the courage to take risks and act on convictions under uncertainty
- Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
- Excellent communication and teamwork abilities in English and German