I'm working with a highly regarded technology-driven investment firm that is looking to hire a Data Platform Engineer to help modernise and scale a business-critical data platform.
This is not a traditional market data role.
The focus is on building modern data infrastructure, distributed systems and large-scale data platforms using a contemporary Python-based stack.
You'll be working on:
* Building and scaling data platforms and pipelines
* Developing modern lakehouse and data infrastructure capabilities
* Improving platform reliability, observability and performance
* Solving complex engineering and data challenges across the stack
* Contributing to AI-enabled platform initiatives
Tech environment includes:
* Apache Iceberg
* Cloud and DevOps tooling
* Modern data lake / lakehouse architectures
They're particularly interested in engineers from:
* AI companies
* Platform engineering environments
Ideal profile:
* Systems design and architecture capability
* Experience building scalable data platforms or distributed systems
* Strong debugging and troubleshooting skills
* Broad engineering ownership across infrastructure and application layers
* Curious, pragmatic mindset with an interest in modern AI tooling
Market data or financial services experience is not required.
The team already has deep domain expertise and is far more interested in exceptional engineers who can build robust, scalable technology.
London-based - 3 days in office.
If you're interested in hearing more, feel free to reach out directly.
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