TL;DR
Senior Engineering Manager (Data Engineering): Leading data platform and real-time ingestion squads to power search and recommendation engines with an accent on orchestrating complex data pipelines and building high-throughput real-time systems. Focus on establishing data trust, ensuring real-time reliability, and empowering data science & analytics teams at a global scale.
Location: Hybrid (Berlin, Germany), requiring 2 days a week in the Berlin campus
Company
hirify.global is the world’s pioneering local delivery platform, headquartered in Berlin, Germany.
What you will do
- Lead and mentor engineers and managers across three data engineering squads.
- Build and orchestrate complex data pipelines across batch (Airflow, dbt, BigQuery) and streaming ecosystems.
- Ensure real-time reliability of high-throughput ingestion services for Search & Recommendation.
- Champion data quality and governance, establishing automated monitoring and SLAs.
- Act as a strategic partner to Data Science & Analytics, providing reliable datasets and tooling.
- Drive strategy, translating tribe-level goals into a comprehensive technical roadmap.
Requirements
- M2 Leadership Experience managing managers and multiple diverse squads (Data and Backend Engineers).
- Proven architectural excellence in building robust data platforms on cloud infrastructure (GCP/AWS).
- Deep expertise in Python, Airflow, dbt, BigQuery, Kubernetes, Kafka, Flink, Spark.
- Strong understanding of real-time backend systems and high-scale APIs.
- Excellent stakeholder management skills, bridging technical and business needs.
Culture & Benefits
- Hybrid working model, with 2 days a week in the Berlin campus.
- 27 days holiday, increasing with service.
- €1,000 Educational Budget, language courses, and Udemy Business access.
- Health checkups, meditation, gym & bicycle subsidy.
- Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount.
- Digital meal vouchers, food vouchers, corporate discounts.
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