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Senior Engineering Manager Data Engineering (Global Discovery)
Senior Engineering Manager Data Engineering (Global Discovery)Delivery Hero • Berlin, Berlin, Germany
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Senior Engineering Manager Data Engineering (Global Discovery)

Senior Engineering Manager Data Engineering (Global Discovery)

Delivery Hero • Berlin, Berlin, Germany
Vor 30+ Tagen
Stellenbeschreibung

We are on the lookout for a Senior Engineering Manager Data Engineering to lead the Data Engineering Domain within Global Discovery. This is a high-impact leadership role where you will manage three distinct but interconnected squads responsible for the data platform and real-time ingestion.

You will be the custodian of the critical data foundation that powers our Search & Recommendation enginesthe brain of our user experienceand enables business insights across the entire organization. If you are passionate about orchestrating complex pipelines building high-throughput real-time systems and establishing a culture of data trust at a global scale we want to hear from you.

As a Senior Engineering Manager you will lead a domain responsible for the unified data platform that drives our Tier-1 discovery services.

  • Lead & Scale: Manage and mentor a diverse group of engineers and managers across three squads. Develop a strong delegation framework and foster a culture of technical excellence and ownership.

  • Build a Unified Data Platform: Orchestrate complex data pipelines across both Batch (Airflow dbt BigQuery) and Streaming ecosystems. Ensure seamless integration between raw data ingestion and downstream consumption by Data Science models and Analytics use-cases.

  • Ensure Real-Time Reliability: Lead the Backend team responsible for high-throughput real-time ingestion services that feed Search and Recommendation use cases. You will ensure low-latency processing and high availability for these critical systems.

  • Champion Data Quality & Governance: Establish a culture of data trust. Improve automated data quality monitoring and define clear SLAs for data freshness and accuracy for both analytical and operational use cases.

  • Empower Data Science & Analytics: Act as a strategic partner to the Data Science and Analytics teams. Provide them with high-reliability datasets clean architecture and efficient self-service tooling (Cosmos dbt) to accelerate model training and insight generation.

  • Drive Strategy: Translate tribe-level goals into a comprehensive 18-month technical roadmap. Bridge the gap between Data Science needs Product requirements and Engineering constraints.


Qualifications :

We are looking for a candidate with proven architectural excellence and deep leadership experience.

  • M2 Leadership Experience: You have several years of experience managing managers and leading multiple diverse squads (e.g. managing both Data Engineers and Backend Engineers).

  • Proven Architectural Excellence: You have a track record of architecting and building robust data platforms from the ground up. You have made high-stakes architectural decisions that ensured platform reliability and cost efficiency at scale.

  • Advanced Data Stack Expertise: You possess deep expertise in designing modern data platforms on cloud infrastructure (GCP/AWS). You are proficient with our stack: Python Airflow dbt BigQuery Kubernetes and Streaming technologies (Kafka/Flink/Spark).

  • Backend & Distributed Systems Knowledge: You have a strong understanding of real-time backend systems and high-scale APIs to effectively guide the ingestion team. You understand the trade-offs in distributed systems and have already been responsible for such systems at a global scale.

  • Stakeholder Management: You excel at managing expectations and bridging the gap between technical constraints and business needs working closely with Product Managers and Data Scientists.


Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
  • We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Gym & Bicycle Subsidy.
  • Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan.
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.


Remote Work :

No


Employment Type :

Full-time


Key Skills
Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems
Experience: years
Vacancy: 1
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Senior Engineering Manager Data Engineering (Global Discovery) • Berlin, Berlin, Germany

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