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Data Engineer
- Software Development / Software Engineering
- London
- 1 week ago
- $ - $
- Full Time
We’re looking for a Data Engineer with practical knowledge in designing, building, deploying, and maintaining scalable systems. You should be:
- Able to develop highly scalable data processing pipelines
- Able to develop data query and analysis services to be leveraged by clients, internally and externally
- Committed to maintaining a high standard of code quality within the broader engineering team
- Adaptable to the latest data processing and infrastructure techniques as our stack evolves
- Well-organized and dependable
- Skilled at turning large datasets into an asset across the organization
- Capable of collecting and combining data from multiple sources
- Proficient in analyzing data for insights and producing great visuals
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Your team
UBS Evidence Lab is looking for someone to join its Engineering Team. The team's focus is on building scalable products and services used to analyze large datasets in the context of financial analysis. They leverage well-established engineering processes and techniques pioneered by giants in the tech industry.
Projects span from general pipelining to building internal web tools to developing low-latency query and analysis engines.
Projects span from general pipelining to building internal web tools to developing low-latency query and analysis engines.
Your expertise
Minimum Qualifications:
- Established track record in designing, building, deploying, and maintaining scalable systems
- Strong knowledge of algorithms and data structures
- Proficiency in developing and debugging with Python and SQL
- Formal education in Computer Science or a related quantitative field
- Experience with distributed systems
- Experience with Hadoop, Spark, or Airflow
- Interest in finance and stock markets
