Senior Data Engineer

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Job description

Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billon of client assets, where technology is an integral part of the business. We are looking for a senior engineer to join our Data Engineering team. The team's role is broad, covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure.

This is an exciting time for you to join the team as we consolidate our technology estate, revamp how we process and filter data, and overhaul the way data is accessed by our consumers, while continuing to onboard new datasets that enhance our strategies. We are a lean team owning end-to-end delivery from initial design through to operational support in production.

Job requirements

Your experience:

• 5+ years working as a data engineer or KDB developer
• Proficiency in Python and SQL and familiarity with relational and time-series databases
• Experience implementing data pipelines, ideally from major financial market data vendors
• SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices
• Passionate about code quality, data integrity, and building scalable and robust systems
• Ability to communicate clearly with technical and non-technical colleagues

Job responsibilities

Working closely with quantitative developers, researchers and portfolio managers you will:

• Build and enhance our KDB platform to capture and aggregate large volumes of tick data
• Develop ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt
• Extend Python libraries to provide unified access to our entire data catalogue
• Support our Java live data feedhandlers
• Consolidate legacy MATLAB systems onto our strategic technology stack

If this role sounds of interest we would love to hear from you.