Data Engineer

Key Skills

AWS, Azure, Big Data Technology, Data pipelines, Data science techniques, Databricks, DevOps, Git, Management, PowerShell Programming, Python Programming, Scala Programming, SPARK Programming, Spark-SQL

Job Description

We’re looking for data engineers to:

• transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques.
• engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using data platform infrastructure effectively.
• develop, train, and apply machine-learning models to make better predictions, automate manual processes, and solve challenging business problems.
• design and implement cloud-based solutions using microservices, Big Data, and elastic computing concepts.
• collaborate on innovative proofs-of-concept, pilots, minimum viable products, and business cases.
• be a part of our Agile engineering community.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

We are a global organization that values diversity, collaboration, engineering & digital culture, and innovation. 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.

As part of Group Operations and Technology Office (GOTO), we are building next-generation platforms for the most critical capabilities of our company. Our solutions enable our stakeholders and clients to drive informed decisions, mitigate risk to the firm, and meet business goals in an Agile and sustainable manner.

We develop a Big Data ecosystem that collects terabytes of information every day, executes sophisticated statistical and ML models, and provides our stakeholders with innovative analytical tools and applications.

Come join our team and work with the latest technology.

Your expertise

• comprehensive understanding and ability to apply data engineering techniques.

• good understanding of Cloud and big data technologies (Spark/Databricks, Scala/Python, Spark SQL).
• high proficiency in IaC, Yaml, Powershell, and scripting.
• ideally 8-10 years of technical and management skills.
• curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.
• proven delivery of Cloud-based solutions.
• experience in building data pipelines.
• knowledge of Terraform, Bash, Azure Dev Ops, and Git would be beneficial.
• Bachelor’s, Master’s degree or equivalent (technical school) in data science/engineering, computer science, math, or a related field.

Feel free to share your personal project portfolio or coding challenge profile – it will help us to know you better.

About us

UBS is the world’s largest and 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.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

How we hire

This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html

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.