Senior Engineering Manager - Data Engineering (Global Discovery) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Leadership, Data Platforms, Real-Time Systems, Data Quality, Data Governance, Data Science, Analytics, Cloud Infrastructure, Python, Airflow, BigQuery, Kubernetes, Kafka, Flink, Spark

Industry

technology;Information and Internet

Description

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description 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 engines—the "brain" of our user experience—and 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 you’re in good shape, then we’re 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, we’ll 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 you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just let us know with an email to our Inclusion Officer at [email protected] it in your application. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

Lead and mentor a diverse group of engineers across three squads responsible for the data platform and real-time ingestion. Ensure the reliability and quality of data systems that support Search and Recommendation engines.