At a Glance
- Tasks: Join our Data Engineering team to develop and optimise data pipelines and platforms.
- Company: Aspect Capital, an award-winning hedge fund in London with a tech-driven approach.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Exciting opportunity to work with cutting-edge technology in the financial sector.
- Why this job: Be part of a lean team making impactful changes in data processing and access.
- Qualifications: 5+ years in software or data engineering, strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
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:
- 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
- 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
- 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.
Senior Software Engineer - Data employer: Aspect Capital
Aspect Capital is an exceptional employer, offering a dynamic and supportive work environment in the heart of London. As an Entry Level Execution Trader, you will benefit from hands-on training and mentorship from experienced traders, fostering your professional growth in the fast-paced world of systematic trading. With a commitment to employee development and a culture that values innovation and collaboration, Aspect Capital provides a unique opportunity to thrive in a global financial hub.
