Data Engineer-Python, Pyspark, sql, Databricks

City

Hyderabad

Job Type

Full Time

Country / State

India

Function Category

Information Technology (IT)

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.

Contact Details

UBS Business Solutions SA
UBS Recruiting

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.

Your team

You will be part of the Development Practices & Standards (DP&S) Engineering global team within the Group CTO – Core Platform Engineering area. The team is responsible for delivering DevLens, the new engineering data solution, and to help improve the efficiency of end-to-end Software Development Lifecycle for the Bank. The team has a strong continuous growth & improvement mindset,
at personal, team and department level.
We are a global organization that values diversity, collaboration, engineering & digital culture, and innovation. You will be able to join one or more UBS Certified programs for Engineers or Data Specialists which offers many learning opportunities. This is one of many strategic initiatives to drive engineering excellence.

Your expertise

•you’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
• 8+ years of experience in data engineering with large data solutions
• must have: Strong experience of modern Data Engineering stack including Azure Databricks (highly preferred) and proficient working with open table formats (Delta Table or Iceberg)
• must have: Strong Python & SQL coding experience, in particular developing Spark solutions
• good understanding of data streaming and batch data ingestion (Kafka, CDC, SCD types, handling out-of-order records)
• experience of Workflow Orchestration tools (Dagster, Airflow or similar)
• good understanding of engineering practices and development lifecycle including CI/CD, Automated Testing, Git, observability
• data modelling experience, ideally creating and maintaining data products
• nice to have: experience working with containerization (Docker/Kubernetes) and Infrastructure as code (Terraform)
• enthusiastic, self-motivated and client-focused
• adaptable, able to work across teams, functions and applications
• familiar with Agile development practices
• you are a strong communicator, fluent in English, from making presentations to technical writing
• you hold a relevant bachelor’s degree or equivalent.

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.

How we hire

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