Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperienced
Berlin
from 190,000 / year
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FLFlink
Engineering Manager - Data & ML Platform(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Leading cross-functional team building and maintaining data and ML platforms for quick commerce grocery delivery. Track record of building high-performing data or platform engineering teams required. €1000 annual L&D budget, individual coaching, 26-30 days vacation, €35 monthly mobility budget.
Requirements
- Passion for building scalable data infrastructure, ML platforms, and strong teams
- Ability to thrive in a fast-paced environment
- Excitement for enabling data-driven decision-making at scale
- Demonstrated people leadership
- Track record of building high-performing data or platform engineering teams
- Direct experience operating data platforms at scale
- Strong technical foundation in distributed systems, data engineering, and platform architecture
- Proven experience with cloud infrastructure, container orchestration, and Infrastructure as Code
- Experience with ML infrastructure components
- Experience running high-reliability data services with observability and data quality practices
- Clear communication
- Ability to translate technical challenges into business context
- Experience with AI tools for development acceleration
- Hands-on experience with ML serving frameworks and MLOps tools
- Background in real-time streaming systems
- 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
Tasks
- Build high-trust engineering environments.
- Hire and onboard new engineers.
- Manage engineer performance.
- Define clear career paths for team members.
- Provide regular, actionable feedback.
- Foster continuous team improvement.
- Partner with Data Science and Analytics teams.
- Shape initiatives for a self-service Data Platform.
- Power machine learning models.
- Enable faster, better decision-making across teams.
- Lead teams managing data pipelines.
- Oversee data warehouse architecture.
- Manage ML training infrastructure.
- Maintain feature stores and model serving systems.
- Shape Data & ML Platform technology strategy.
- Lead architectural decisions and RFC discussions.
- Champion reliability, data quality, and pragmatic engineering.
- Prioritize customer needs in engineering.
- Set operational excellence standards using SLIs/SLOs.
- Implement system monitoring.
- Manage incident response for critical data systems.
- Lead blameless postmortems.
- Drive continuous improvement.
- Automate data pipelines.
- Reduce operational overhead.
- Build self-service capabilities for data consumers.
- Maintain sustainable team velocity.
- Foster an environment where the best ideas prevail.
- Support team members and celebrate achievements.
- Prevent team member failures.
- Prioritize data quality and GDPR compliance.
- Promote responsible ML practices.
- Protect customer trust.
- Collaborate with peer Engineering Managers.
- Improve engineering practices.
- Drive organization-wide data literacy.
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ML platforms
- BigQuery
- Apache Airflow
- Kubernetes
- GCP
- Terraform
- Feast
- Claude Code
- Kserve
- MLflow
- Google Pub/Sub
- Dataflow
- dbt Cloud
- dbt Core
Benefits
Learning & Development
- €1000 annual L&D budget
- Unlimited e-learning access
- Online German courses
Mentorship & Coaching
- Individual coaching options
More Vacation Days
- 26-30 days vacation
Public Transport Subsidies
- €35 monthly mobility budget
Healthcare & Fitness
- Urban Sports Club discount
Corporate Discounts
- Corporate Benefits discounts
- Future Bens discounts
- Flink orders discount
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FLFlink
Engineering Manager - Data & ML Platform(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Leading cross-functional team building and maintaining data and ML platforms for quick commerce grocery delivery. Track record of building high-performing data or platform engineering teams required. €1000 annual L&D budget, individual coaching, 26-30 days vacation, €35 monthly mobility budget.
Requirements
- Passion for building scalable data infrastructure, ML platforms, and strong teams
- Ability to thrive in a fast-paced environment
- Excitement for enabling data-driven decision-making at scale
- Demonstrated people leadership
- Track record of building high-performing data or platform engineering teams
- Direct experience operating data platforms at scale
- Strong technical foundation in distributed systems, data engineering, and platform architecture
- Proven experience with cloud infrastructure, container orchestration, and Infrastructure as Code
- Experience with ML infrastructure components
- Experience running high-reliability data services with observability and data quality practices
- Clear communication
- Ability to translate technical challenges into business context
- Experience with AI tools for development acceleration
- Hands-on experience with ML serving frameworks and MLOps tools
- Background in real-time streaming systems
- 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
Tasks
- Build high-trust engineering environments.
- Hire and onboard new engineers.
- Manage engineer performance.
- Define clear career paths for team members.
- Provide regular, actionable feedback.
- Foster continuous team improvement.
- Partner with Data Science and Analytics teams.
- Shape initiatives for a self-service Data Platform.
- Power machine learning models.
- Enable faster, better decision-making across teams.
- Lead teams managing data pipelines.
- Oversee data warehouse architecture.
- Manage ML training infrastructure.
- Maintain feature stores and model serving systems.
- Shape Data & ML Platform technology strategy.
- Lead architectural decisions and RFC discussions.
- Champion reliability, data quality, and pragmatic engineering.
- Prioritize customer needs in engineering.
- Set operational excellence standards using SLIs/SLOs.
- Implement system monitoring.
- Manage incident response for critical data systems.
- Lead blameless postmortems.
- Drive continuous improvement.
- Automate data pipelines.
- Reduce operational overhead.
- Build self-service capabilities for data consumers.
- Maintain sustainable team velocity.
- Foster an environment where the best ideas prevail.
- Support team members and celebrate achievements.
- Prevent team member failures.
- Prioritize data quality and GDPR compliance.
- Promote responsible ML practices.
- Protect customer trust.
- Collaborate with peer Engineering Managers.
- Improve engineering practices.
- Drive organization-wide data literacy.
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ML platforms
- BigQuery
- Apache Airflow
- Kubernetes
- GCP
- Terraform
- Feast
- Claude Code
- Kserve
- MLflow
- Google Pub/Sub
- Dataflow
- dbt Cloud
- dbt Core
Benefits
Learning & Development
- €1000 annual L&D budget
- Unlimited e-learning access
- Online German courses
Mentorship & Coaching
- Individual coaching options
More Vacation Days
- 26-30 days vacation
Public Transport Subsidies
- €35 monthly mobility budget
Healthcare & Fitness
- Urban Sports Club discount
Corporate Discounts
- Corporate Benefits discounts
- Future Bens discounts
- Flink orders discount
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Flink
Industry
Retail
Description
The company is the leading quick commerce player in Europe, delivering groceries through an app in minutes with a focus on sustainability.
Not a perfect match?
- Almedia
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