Engineering Manager - Data & ML Platform (m/f/d) at Flink

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Leadership, Hiring, Performance Management, Data Infrastructure, ML Platform, Data Pipelines, Data Warehousing, ML Model Training, Model Deployment, Model Monitoring, Self-Service Data Access, Architectural Decisions, Reliability, Data Quality, Observability, Infrastructure As Code

Industry

Software Development

Description

Company Description Flink is the leading quick commerce player in Europe. We are on a mission to give people back time: You can order your groceries through our app and we deliver to your doorstep in minutes. We carry 3,000 products with a focus on the leading brands in each category. We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging. Flink launched in February 2021 and already operates in more than 90 cities in Germany, and the Netherlands. The business generated more than EUR 400m in revenues in 2024 and is operationally profitable. Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala, and Bond, and strategic investors like Doordash and REWE. We take great pride in being an inclusive employer that offers equal opportunities, and we celebrate the diversity and multiculturalism of our team. We're growing fast and always pushing ourselves to do better - we play for #1. To power our next phase of growth, we are looking for an exceptional Engineering Manager (m/f/d) to lead and scale our core Data & ML Platform team. This is a critical leadership role where you will build the foundational systems that enable the entire organization to make smarter, faster decisions. Job Description As the Engineering Manager for Data & ML Platform (m/f/d), you'll play a vital role in Flink's success. You'll 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. You'll 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 Flink's 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 We're 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.

Responsibilities

The Engineering Manager will lead a cross-functional team responsible for building and maintaining the data infrastructure and ML platform that powers data-driven decision-making across Flink, focusing on data pipelines, warehousing, and ML lifecycle management. Key duties include leading and growing engineers, driving product impact through self-service data access, shaping technical direction, and championing operational excellence and data quality.