Your role
Do you want to design and build attractive digital products and services? Do you want to play a key role in transforming our firm into an agile organization?
At UBS, we re-imagine the way we work, the way we connect with each other - our colleagues, clients and partners - and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.
We're looking for a Software Engineer who can
Design, build, and maintain scalable and secure data pipelines on Azure (preferred) or other cloud platforms.
Develop and optimize data ingestion, transformation, and storage solutions using Python, Java, and Apache Kafka.
Work with structured, semi-structured, and unstructured data to extract insights and identify relationships across datasets.
Create data models and structures optimized for performance and query efficiency.
Ensure compliance with Information Security and data governance standards.
Collaborate with cross-functional teams to define data strategies and implement enterprise-wide data solutions.
Monitor and troubleshoot data pipelines using tools like Azure Logs, AppInsights, Grafana, and Spark monitoring.
Detailed salary information:
Weehawken: the salary range for this role is $150000 to $205000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
Your team
In this role you will be accountable for platforms and projects in the Periodic KYC Reviews. This is a hands-on technology role working in US. You will also work with broader team members distributed across US, Poland and India.
Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your expertise
ideally 14+ years of IT experience with preferably 4 years in cloud-based data engineering.
Proficiency in Python and Java.
Hands-on experience with Apache Kafka for real-time data streaming.
Strong understanding of data warehousing and ETL tools.
Experience with RDBMS (SQL Server, DB2, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin) is a plus.
Familiarity with Git, IntelliJ, and modern development workflows (Gitflow, CI/CD).
Experience across SDLC in Agile, Kanban, and Waterfall environments using Azure DevOps.
Knowledge of infrastructure-as-code tools like ARM, Terraform, Ansible, PowerShell, and YAML.
Strong communication, problem-solving, and analytical skills.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.
Join us
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. And we use artificial intelligence (AI) to work smarter and more efficiently. 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90922487
- Position Id: 23918989
- Posted 3 days ago
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