As the Engineering Manager for Data & ML Platform (m/f/d) youll play a vital role in Flinks success. Youll lead a cross-functional engineering team that builds and maintains the data infrastructure and machine learning platform powering data-driven decision making across Flink from data pipelines and warehousing to ML model training deployment and monitoring. Youll work closely with data scientists platform engineers analysts and product teams to enable self-service Data access and accelerate ML adoption company-wide.
- Lead & Grow Engineers: Build high-trust environments where engineers thrive with accountability for hiring onboarding and performance management while ensuring each team member has a clear career path and receives regular actionable feedback. **Help your team get 1% better every day**.
- Drive Product & Business Impact: Partner with Data Science and Analytics to shape initiatives that unlock fast and self-service Data Platform power ML models and enable teams across Flink to make faster better decisions.
- Own Critical Systems: Lead teams managing data pipelines data warehouse architecture ML training infrastructure feature stores and model serving systems that form the foundation of Flinks data-driven capabilities.
- Guide Technical Direction: Shape the technology strategy for Data & ML Platform lead the architectural decisions and RFC discussions and champion reliability data quality and pragmatic engineering with customers as our first priority.
- Champion Reliability & Observability: Set operational excellence standards through SLIs/SLOs monitoring and incident response for critical data systems. Lead blameless postmortems driving continuous improvement.
- Reduce Toil & Accelerate Delivery: Invest in automating pipelines reducing overhead by being ahead and building self-service capabilities that empower data consumers and maintain sustainable velocity.
- Foster Strong Engineering Culture: Create an environment where the best idea wins. Embody our values by supporting team members celebrating achievements and never letting another Flinker fail.
- Cultivate a Data-First Mindset: Ensure the team prioritizes data quality privacy compliance (GDPR) and responsible ML practices to protect customer trust.
- Partner Across Flink: Collaborate with peer Engineering Managers to share learnings and improve engineering practices driving data literacy organization-wide.
Qualifications :
Were looking for a leader who is passionate about building scalable data infrastructure ML platforms and even stronger teams. You thrive in a fast-paced environment and are excited by the challenge of enabling data-driven decision-making at scale.
- Demonstrated people leadership with a track record of building high-performing data or platform engineering teams
- Direct experience operating data platforms at scale including data pipelines warehousing (e.g. BigQuery) and orchestration tools preferably Apache Airflow
- Strong technical foundation in distributed systems data engineering and platform architecture
- Proven experience with cloud infrastructure container orchestration and Infrastructure as Code (e.g. Kubernetes GCP Terraform)
- Experience with ML infrastructure components such as feature stores (e.g. Feast) model registries and ML serving systems
- Experience running high-reliability data services with observability and data quality practices
- Clear communication translating technical challenges into a business context
Nice to have
- Experience with AI tools like Claude Code for development acceleration
- Hands-on experience with ML serving frameworks and MLOps tools (e.g. Kserve MLflow)
- Background in real-time streaming systems (e.g. Google Pub/Sub Dataflow)
- Experience with data governance privacy regulations (GDPR) and data cataloging
- Experience with dbt Cloud or dbt Core for data transformation
- E-commerce marketplace or quick commerce familiarity
Additional Information :
- A 1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn grow and achieve your goals
- 26 days of vacation 1 day every year up to a maximum of 30 days
- A mobility budget of 35 EUR per month for Deutschland Ticket subsidy
- A discount on your Urban Sports Club membership
- Attractive company pension options
- Unlimited access to an e-learning and development platform MyAcademy including online German courses
- Online discounts with Corporate Benefits and Future Bens
- A cool discount off your personal Flink orders; be the first to test out new products!
- A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
It is our commitment that every applicant will be evaluated according to their skills regardless of age gender identity ethnicity sexual orientation disability status or religion.
Remote Work :
No
Employment Type :
Full-time
As the Engineering Manager for Data & ML Platform (m/f/d) youll play a vital role in Flinks success. Youll lead a cross-functional engineering team that builds and maintains the data infrastructure and machine learning platform powering data-driven decision making across Flink from data pipelines an...
As the Engineering Manager for Data & ML Platform (m/f/d) youll play a vital role in Flinks success. Youll lead a cross-functional engineering team that builds and maintains the data infrastructure and machine learning platform powering data-driven decision making across Flink from data pipelines and warehousing to ML model training deployment and monitoring. Youll work closely with data scientists platform engineers analysts and product teams to enable self-service Data access and accelerate ML adoption company-wide.
- Lead & Grow Engineers: Build high-trust environments where engineers thrive with accountability for hiring onboarding and performance management while ensuring each team member has a clear career path and receives regular actionable feedback. **Help your team get 1% better every day**.
- Drive Product & Business Impact: Partner with Data Science and Analytics to shape initiatives that unlock fast and self-service Data Platform power ML models and enable teams across Flink to make faster better decisions.
- Own Critical Systems: Lead teams managing data pipelines data warehouse architecture ML training infrastructure feature stores and model serving systems that form the foundation of Flinks data-driven capabilities.
- Guide Technical Direction: Shape the technology strategy for Data & ML Platform lead the architectural decisions and RFC discussions and champion reliability data quality and pragmatic engineering with customers as our first priority.
- Champion Reliability & Observability: Set operational excellence standards through SLIs/SLOs monitoring and incident response for critical data systems. Lead blameless postmortems driving continuous improvement.
- Reduce Toil & Accelerate Delivery: Invest in automating pipelines reducing overhead by being ahead and building self-service capabilities that empower data consumers and maintain sustainable velocity.
- Foster Strong Engineering Culture: Create an environment where the best idea wins. Embody our values by supporting team members celebrating achievements and never letting another Flinker fail.
- Cultivate a Data-First Mindset: Ensure the team prioritizes data quality privacy compliance (GDPR) and responsible ML practices to protect customer trust.
- Partner Across Flink: Collaborate with peer Engineering Managers to share learnings and improve engineering practices driving data literacy organization-wide.
Qualifications :
Were looking for a leader who is passionate about building scalable data infrastructure ML platforms and even stronger teams. You thrive in a fast-paced environment and are excited by the challenge of enabling data-driven decision-making at scale.
- Demonstrated people leadership with a track record of building high-performing data or platform engineering teams
- Direct experience operating data platforms at scale including data pipelines warehousing (e.g. BigQuery) and orchestration tools preferably Apache Airflow
- Strong technical foundation in distributed systems data engineering and platform architecture
- Proven experience with cloud infrastructure container orchestration and Infrastructure as Code (e.g. Kubernetes GCP Terraform)
- Experience with ML infrastructure components such as feature stores (e.g. Feast) model registries and ML serving systems
- Experience running high-reliability data services with observability and data quality practices
- Clear communication translating technical challenges into a business context
Nice to have
- Experience with AI tools like Claude Code for development acceleration
- Hands-on experience with ML serving frameworks and MLOps tools (e.g. Kserve MLflow)
- Background in real-time streaming systems (e.g. Google Pub/Sub Dataflow)
- Experience with data governance privacy regulations (GDPR) and data cataloging
- Experience with dbt Cloud or dbt Core for data transformation
- E-commerce marketplace or quick commerce familiarity
Additional Information :
- A 1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn grow and achieve your goals
- 26 days of vacation 1 day every year up to a maximum of 30 days
- A mobility budget of 35 EUR per month for Deutschland Ticket subsidy
- A discount on your Urban Sports Club membership
- Attractive company pension options
- Unlimited access to an e-learning and development platform MyAcademy including online German courses
- Online discounts with Corporate Benefits and Future Bens
- A cool discount off your personal Flink orders; be the first to test out new products!
- A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
It is our commitment that every applicant will be evaluated according to their skills regardless of age gender identity ethnicity sexual orientation disability status or religion.
Remote Work :
No
Employment Type :
Full-time
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