6 days ago
You will play a key role in improving our trading and alpha research capabilities in this role. We are searching for a senior engineer who is prepared to tackle our challenges and has a strong track record of building large-scale data platforms. Leading our strategy to develop a new platform that satisfies our research requirements and guarantees scalability and efficiency throughout our international trading operations are among your responsibilities.
Some of the things we're doing right now:
Develop software for live capturing of data from external and internal systems to build a data lake
Work with trading/researchers to build derived datasets from the data lake, using batch processing to generate a history and using stream processing for real-time data feeds.
Continuously improve our research framework to allow it to scale to the consumption of arbitrary datasets whilst maintaining point in time correctness and without
Develop software for live capturing of data from external and internal systems to build a data lake
Work with trading/researchers to build derived datasets from the data lake, using batch processing to generate a history and using stream processing for real-time data feeds.
Continuously improve our research framework to allow it to scale to the consumption of arbitrary datasets whilst maintaining point in time correctness and without don't result in large scale outages
Build reconciliation mechanisms into data pipelines to be able to handle problems of late arriving data whilst respecting the point in time correctness of datasets
Excited about solving engineering challenges around the building of a data platform that operates from capture to consumption.
Experience building a data platform, having made mistakes and confident using what you've learned to construct an even more robust platform
Reasons about technical fundamentals such as networking, database behaviour and system performance when designing systems
Familiar with building batch and stream processing systems for diverse data sources.
Driven to maintain operational excellence and reduce the dependency on humans within data operations.
The chance to start your career working alongside best-in-class professionals from over 40 different countries.
Alongside this you will get great secondary benefits such as 25 paid vacation days, fully paid first-class commuting expenses, training opportunities, discounts on health insurance, breakfast and lunch facilities, sports and leisure activities, Friday afternoon drinks and even weekly in-house chair massages. Being highly international, we are accustomed to guiding expats through their relocation, offering competitive relocation packages and providing visa sponsorship where necessary.