Python / Data Platform - Building Distributed Data Platforms (tooling/infra) at 25,000+ Cores, 23+ PB Storage & 10,000s of Daily Jobs - Up to EUR 180K TC - VISA/Relocation - Amsterdam
Build the global platform that powers thousands of data workloads, close to a thousand engineers, petabytes of storage, and real-time decision-making.
We're also open to speaking to software engineers who have built distributed, data-heavy systems at international scale and are interested in building data platform systems. We prioritise computer science fundamentals above tooling knowledge.
We're hiring engineers (mid, senior and/or staff level) who thrive in large-scale distributed systems and enjoy building the tooling, frameworks, and infrastructure that powers data (the heart) of this global fintech (unicorn). Platform/Data Engineering is done with a SWE mindset and practices - You don't think tools first, you think about creating solutions that scale globally, today and in the future first and then apply the right tool for the problem at hand or create it yourself.
You'll work on
- Large-scale data platform engineering
- Distributed compute and storage systems
- Streaming infrastructure and event-driven architectures
- Data quality, validation, lineage, and governance tooling
- Internal developer platforms and self-service tooling
- Platform observability, automation, and reliability
- BONUS: OLAP and analytical query engines
Tech Stack
- Python (primary language)
- Kafka
- Spark
- Kubernetes
- Docker
- Hadoop ecosystem
- Data Contracts
- Real-time & Batch Processing
Looking for engineers who have experience with
- Building internal platforms, frameworks, or developer tooling
- Distributed systems at scale
- High-throughput data pipelines
- Data infrastructure and platform engineering
- Performance optimization and reliability engineering
- Private cloud or large-scale infrastructure environments
Nice to have
- Java, Go, or Rust
- Experience with OLAP architectures (ClickHouse / Trino / Druid / Pinot)
- Experience supporting data science or ML platforms
- Strong systems engineering mindset
What you get
- Highly competitive salary
- Equity package
- Permanent contract
- Relocation support
- Visa sponsorship
- Conference & learning budget
- Hybrid working model
- Work on genuinely large-scale technical challenges
Compensation: Up to 180K TC (depending on experience)+ healthcare, pension, etc. and a permanent contract from the start. Relocation and visa sponsorship is possible for senior+ candidates.
If terms like Spark scheduler bottlenecks, Kafka throughput, distributed query planning, metadata-driven platforms, platform engineering, or developer experience for data teams excite you, I'd love to speak with you.
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