Yazio - Lead Data Platform Engineer
Requirements
• Extensive experience designing and operating large-scale, cloud-based data platforms in production • Strong background in distributed systems, event-driven architectures and streaming pipelines • Proven ownership of production reliability (SLAs/SLOs, monitoring, incident handling) • Experience architecting systems that successfully scaled through significant growth phases • Clear cost-performance awareness when running compute-intensive workloads • Experience enabling data-driven product features or AI-powered use cases (e.g., feature computation, low-latency access patterns) • Solid people leadership experience—you have led engineers before and taken responsibility for their growth and performance • Strong architectural judgment and the confidence to make and defend technical decisions • Ability to translate infrastructure work into measurable business outcomes • You’ve likely worked in a product-driven, high-traffic environment and have seen what breaks at scale—and learned how to design systems that don’t. • Here’s a snapshot of the technologies we currently work with and operate in production: • Infrastructure & platform: AWS (EKS, MSK, S3), Kubernetes-based workloads, hybrid infrastructure setup—with a strong focus on scalability, resilience and cost-efficient cloud architecture • Event streaming & ingestion: Kafka (AWS MSK), event-driven ingestion from mobile, web and backend systems—ensuring reliable, high-volume event processing • Data processing & orchestration: Apache Spark for distributed data processing, Dagster for pipeline orchestration and dbt for structured transformation and modeling • Warehouse & experimentation: Snowflake as the central warehouse layer and GrowthBook for experimentation evaluation—supporting reliable analytics and product experimentation • Monitoring & observability: Prometheus, Grafana, InfluxDB, Graylog / ELK—for pipeline visibility, incident investigation and proactive reliability management • AI & feature enablement foundations: Infrastructure supporting scalable feature computation, low-latency access patterns and production-ready AI-driven product capabilities • Collaboration: GitHub-based workflows, structured RFC processes, cross-team architecture discussions and outcome-driven delivery
Responsibilities
• Own reliability, scalability and cost discipline of ingestion and transformation systems • Design and deliver infrastructure for real-time/near-real-time feature computation • Define and enforce SLAs/SLOs, monitoring and incident practices • Set architecture standards and prevent reactive migrations through foresight and trade-offs • Translate platform work into measurable OKRs that deliver product impact • Partner closely with Analytics to define clear ownership boundaries • Lead and grow a small, ambitious team while raising technical standards • You will be hands-on where it matters: RFCs, architecture reviews, incident response and mentoring.
Benefits
• An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating • A remote-first setup: work 100% from home, join a co-working space, or work abroad for several weeks per year • 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you • A focus-driven culture that values efficiency over long hours - no overtime expectations, and if it happens, you get that time back! • A high-impact environment where your work drives real change - short decision-making processes and no micromanagement • A team culture where ambition and balance go hand in hand, supported by strong connections - from our fully covered company retreat to team meetups and virtual coffee breaks • Tools and support to do your best work: MacBook, monitor, and €1,000 annual learning budget, plus regular feedback and career development • A truly international team with English as our company language and a shared commitment to growth and well-being - supported by Sunday Supplements and Nilo Health • DIVERSITY AND INCLUSION
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