Job Description

Job Reference #
301478BR

Job Type
Full Time

Your role

engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using cloud data platform infrastructure effectively
transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques
develop, train, and apply data engineering techniques to automate
manual processes, and solve challenging business problems
ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.
build observability into our solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues
understand, represent, and advocate for client needs
Codify best practices, methodology and share knowledge with other engineers in UBS
shape the Reference Data Mastering and Distribution architecture and technology stack within our new cloud-based datalake-house.

Your team
You’ll be working in the Group Functions- Reference data Platform and service team who are driving innovation

and reengineering of reference data in bank.

You'll play an important role in seeing our transition to Cloud technologies, simplification of IT landscape and improvement in our business operating model.

Our culture centers on partnership with our businesses,transparency, accountability and empowerment, and passion for the future.

Your expertise

experience in Distributed Processing using Databricks (preferred) or Apache Spark
meaningful experience in Scala
ability to debug using tools like Ganglia UI, expertise in Optimizing Spark Jobs
experience and interest in Cloud platforms such as Azure (preferred) or AWS
the ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
expert in creating data structures optimized for storage and various query patterns for e.g. Parquet and Delta Lake
meaningful experience in at least one database technology such as:
traditional RDBMS (MS SQL Server, Oracle, PostgreSQL)
noSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin)
understanding of Information Security principles to ensure compliant handling and management of data
experience in traditional data warehousing / ETL tools (Azure Data factory, Informatica)
strong problem solving and analytical skills
proficient at working with large and complex code bases (Github, Gitflow, Fork/Pull Model) and development tools like IntelliJ
working experience in Agile methodologies (SCRUM, XP, Kanban)

About Us
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.

How We Hire

We may request you to complete one or more assessments during the application process. Learn more

Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

Disclaimer / Policy Statements
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.