Data Engineer - GF

UBS

Benefits
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Your role

Are you an analytic thinker? Do you enjoy creating valuable insights with data? 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 Data Engineer to:

  • transform data into valuable insights that inform business decisions, making use of our internal

data platforms and applying appropriate analytical techniques

  • engineer easily maintainable and reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using data platform infrastructure effectively
  • ensure the quality, security, reliability, and compliance of our solutions by applying our digital

principles and implementing both functional and non-functional requirements.

  • build observability into our solutions, monitor production health, help to resolve incidents, and

remediate the root cause of risks and issues

  • understand, represent, and advocate for client needs.

Your team

In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You’ll be working in the GOTO-HR team in Krakow Poland focusing on delivering solutions to enable and support Payroll Operations teams in Europe and America Region.

Your expertise

  • Bachelors or equivalent degree focusing on Computer Science
  • Comprehensive understanding and ability to apply data engineering techniques
  • Curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate

options, and make decisions with long-term sustainability in mind

  • Strong communicator, from making presentations to technical writing
  • Ability to explain complex functionality in Layman terms
  • Fluent in English
  • Experience working with HR ERP application ( anyone of Fusion, Peoplesoft, Oracle HCM , etc. ) and with good understanding of data models used in HR applications.
  • Relevant experience working on pyspark dataframes for data manipulation/transformation.

#LI-Hybrid

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 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 we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

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.

Report misconduct: If you are made aware of any of our employees or individuals acting on behalf of UBS engaging in acts of misconduct under the Poland Whistleblowing Act, you may report your concerns through Poland-Whistleblowing@ubs.com

Data Engineer - GF | UBS - Experienced professionals - job boards

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Confirmed 12 hours ago. Posted 30+ days ago.

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