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

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

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.

3 Aspect Capital jobs in England & Wales