Data Engineer bei UBS Group AG

Do you have sharp data analytic/engineering skills? Do you know how to solve problems and develop innovative solutions? Do you enjoy responsibility and independent work?

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

London

Full Time

United Kingdom

Evidence Lab Innovations

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

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.

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
Preferred Qualifications:
• 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

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centers in more than 50 countries.

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.