Senior Software Engineer - Data

Aspect Capital is an award-winning systematic hedge fund based in London that manages over $9 billion 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 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.

We're seeking an individual who is passionate about technology, stays current with industry trends, follows engineering best practices, and is always looking for opportunities to improve systems, processes, and performance.

Your experience:

Required:

• 5+ years working as a Software Engineer or Data Engineer
• Strong expertise in Python
• Well-versed in SQL and a good understanding of relational databases
• Confident working with Linux and Docker
• An excellent communicator, ability to communicate clearly with technical and non-technical colleagues
• Financial industry experience

Desirable:

• Java
• dbt
• Snowflake or similar cloud data warehouse
• Kafka
• AWS
• Iceberg
• Apache Flink
• Familiar with major financial data vendor APIs

Responsibilities:

• Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt
• Building a streaming platform to capture and aggregate large volumes of tick data
• Extending internal libraries to provide unified access to our entire data catalogue
• Supporting our Java live data feedhandlers
• Consolidating legacy MATLAB systems onto our cloud-native technology stack
• Working closely with quantitative developers, researchers and portfolio managers

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