Data Engineer

Job Reference #

324966BR

Job Type

Full Time

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.
  

Your team

You'll be working as an engineering leader in the Client Data and Onboarding Team in India. We are responsible for WMA (Wealth Management Americas) client facing technology applications. This leadership role entails working with teams majorly in US and India. You will play an important role of ensuring scalable development methodology is followed across multiple teams and participate in strategy discussions with business, and technology strategy discussions with architects. Our culture centers around innovation, partnership, transparency, and passion for the future.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

• 8+ years of IT experience with at least 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 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 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.

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.