Aspect Capital - Data Engineer
Posted 4 days ago by Aspect Capital
Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: Aspect Capital is seeking a Data Engineer to join their Data Engineering team in London. The role involves managing the ingestion, storage, transformation, and distribution of various datasets while working with a diverse technology stack. The team is focused on enhancing data processing and access, as well as onboarding new datasets to improve strategies. Candidates should have a strong background in data engineering and a passion for technology and continuous improvement.
Key Responsibilities:
- Manage the ingestion, storage, transformation, and distribution of tick, timeseries, reference, and alternative datasets.
- Work with a variety of legacy and modern systems across on-premises and cloud infrastructure.
- Consolidate technology estate and revamp data processing and filtering methods.
- Onboard new datasets to enhance strategies.
- Deliver end-to-end solutions from initial design to operational support.
- Develop ELT pipelines using Python, Snowflake, and dbt.
- Support Java live data feed handlers and consolidate legacy MATLAB systems.
- Collaborate with quantitative developers, researchers, and portfolio managers.
Key Skills:
- 1-3 years of experience as a Data Engineer.
- Expertise in Python and SQL.
- Understanding of core database concepts.
- Familiarity with cloud platforms or data warehouses.
- Experience with SDLC and DevOps tools such as Git, Docker, Jenkins/TeamCity.
- Ability to communicate effectively with both technical and non-technical colleagues.
- Experience with dbt, Snowflake, Kafka, and Airflow is ideal.
- Experience in building streaming platforms and enhancing client libraries.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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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 an engineer to join our Data Engineering team. The teams 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.
1-3 years working as a Data Engineer
Expertise with Python and SQL
Understanding of core database concepts
Familiarity with a cloud platform or data warehouse
SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, automated testing
Ability to communicate clearly with technical and non-technical colleagues
Experience In The Following Areas Would Be Ideal
- dbt and Snowflake
- Kafka
- Airflow
- Building a streaming platform to capture and aggregate large volumes of tick data
- Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt
- Enhancing client libraries to provide unified access to our entire data catalogue
- Supporting our Java live data feedhandlers
- Consolidating legacy MATLAB systems onto our strategic technology stack
- Working closely with quantitative developers, researchers and portfolio managers
If you are passionate about technology, stay current with industry trends, follow engineering best practices, and are always looking for opportunities to improve systems, processes, and performance, then we would love to hear from you.