Data Engineering Team Leader, AllCloud

• The ideal candidate is someone who enjoys solving complex technical challenges, working directly with customers and teams, and building modern cloud-native data and AI platforms end-to-end with a strong execution mindset and can-do approach
• 4+ years of experience leading engineering or data engineering teams
• 7+ years of hands-on experience in Data Engineering, Backend Engineering, or Cloud Architecture
• Strong ability to lead, mentor, and inspire a technical team, combined with sophisticated customer-facing skills to effectively bridge the gap between complex data operations and business-centric solutions for stakeholders
• Strong hands-on development experience with Python and SQL
• Deep experience building solutions on AWS
• Strong experience designing and implementing modern cloud data platforms and lakehouse architectures
• Experience with ETL/ELT, orchestration, and distributed data processing systems
• Strong experience with technologies such as: AWS Glue, Lambda, Step Functions, S3, Redshift, Snowflake, Databricks, DBT, Airflow, Kafka / streaming platforms, Spark
• Experience building APIs and scalable backend services
• Strong understanding of CI/CD, Git workflows, monitoring, and DevOps practices
• Ability to balance hands-on execution with team leadership and stakeholder collaboration
• Strong communication and problem-solving skills
• Self-driven, adaptable, and comfortable working in dynamic, fast-paced environments
• Professional fluency in both German and English is required for this role in the DACH region

Desirable

• This is a highly hands-on leadership role focused on building scalable AWS-based Data & AI solutions while leading a small engineering team and collaborating closely with internal and external stakeholders
• Lead, mentor, and grow a team of 3–4 Data Engineers
• Act as a hands-on technical leader across multiple Data & AI initiatives
• Design, build, and scale cloud-native data platforms and AI systems on AWS
• Develop and maintain large-scale ETL/ELT pipelines, streaming systems, APIs, and analytics platforms
• Lead implementation of modern AI and GenAI solutions including intelligent agents, RAG systems, automation workflows, and ML integrations
• Work closely with stakeholders, customers, architects, product managers, and business teams to translate requirements into scalable technical solutions
• Participate in technical planning, architecture discussions, code reviews, troubleshooting, and production support
• Ensure reliability, scalability, observability, and security across production environments
• Drive engineering best practices including CI/CD, Infrastructure as Code, testing, monitoring, and operational excellence
• Collaborate across teams while maintaining strong ownership and delivery focus
• Support fast-moving delivery cycles with a pragmatic, solution-oriented, and can-do approach