Data Engineer

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Job Description

Job Reference #

Job Type
Full Time

Your role
Are you passionate about data and analytics? Do you like to develop processes and models to interpret rich data and generate insights?

We are looking for someone like that to:

  • Work with a team of data engineers to source and transform data, and to create robust, scalable data infrastructure
  • Develop sustainable data extraction, transformation and loading (ETL) processes using Python
  • Design and implement data distribution pipelines selecting standard technologies and using data platform infrastructure appropriately
  • Implement data quality rules and develop data visualization using Python
  • Work closely with business users to deliver flexible and scalable data services that meet their needs
  • Contribute to the growth of the AM Analytics platform by researching and exploring analytics tools and technologies to continuously improve what we do

Your team
You'll be working in the Chief Data Office (CDO) within UBS Global Asset Management. We're responsible for defining data strategy and supporting the management of core data sets used across Asset Management. Our team is structured to encompass several functions, including Data Strategy and Delivery, Data Mastering and Governance, Data Architecture, and Data Analytics. We're based in New York City, Chicago, Zurich, and Pune.

Your expertise
You have:

  • Minimum of 5 years of experience in collecting, analyzing, and synthesizing results from various data sources
  • Minimum of 3 years of experience in Big Data (AWS, Microsoft Azure, Databricks) and data mining
  • Python, R, SQL, Lavastorm, Alteryx, Data Mining, Machine Learning, Gitlab
  • UI/UX design experience using Tableau
  • SQL and relational databases experience, and strong experience in constructing and executing complex queries and analysis (using SQL/Spark)
  • Data domain knowledge of market data, security reference data, macroeconomics indicators, equity fundamental data, trades and positions data, risk data is a plus
  • Knowledge of Data modeling, data warehousing methodologies, master data management, ETL, data governance, and BI best practices is a plus
  • Understanding of Agile software methodology and modern CI/CD practices
  • BS in Mathematics, Computer Science, Statistics, or equivalent

About Us
UBS is the worldโ€™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.

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 weโ€™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.

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