Join to apply for the Senior Data Engineer role at UBS Join to apply for the Senior Data Engineer role at UBS Job Reference # 318898BR

Job Type Full Time

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 are looking for Senior Data Engineer to:

engineer 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 understand, represent, and advocate for client needs working very closely with our business partners continually look for ways to improve your own skills and experience develop, train, and apply machine-learning models to make better predictions, automate manual processes, and solve challenging business problems transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques

Detailed salary information:

Weehawken: the salary range for this role is $150000 to $205000

The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit .

Your team Youll be part of STAAT Data Science group in Weehawken, NJ OR Raleigh, NC which is part of global Wealth Management Tech organization. We are developing cutting edge digital solutions to help internal and external clients make better decisions with data. Within STAAT, you will be part of a growing team that is focused on blending solutions covering digital marketing, technology, optimization and analytics to drive business results and digital transformation. You'll be working in a global team, with colleagues in India and Poland.

Diversity helps us grow, together. Thats why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

Bachelors degree in engineering or science or foreign equivalent ideally 12+ years of hands on data engineering experience comprehensive understanding and ability to apply data engineering techniques, from event streaming and real-time analytics to computational grids and graph processing engines curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind strong competence in Python strong competence in SQL and database design / architectures Nice to have: experience with workflow orchestration platforms especially with Apache Airflow; understanding of data science / machine learning models; experience in / knowledge of R; knowledge of Large Language Models knowledge of Git version control experience working with Agile development methodologies and ceremonies

About Us UBS is the worlds 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. Were 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. Thats why collaboration is at the heart of everything we do. Because together, were more than ourselves.

Were 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.

Your Career Comeback We are open to applications from career returners. Find out more about our program on .

Salary Information US Only: The expected salary range for this role is $150000 to $205000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Banking, Financial Services, and Investment Banking Referrals increase your chances of interviewing at UBS by 2x Sign in to set job alerts for Senior Data Engineer roles. Raleigh, NC $122,000.00-$165,000.00 13 hours ago Software Engineer, Machine Learning (Multiple Levels) - Slack Raleigh, NC $167,300.00-$334,600.00 6 days ago Raleigh, NC $1,000.00-$2,000.00 2 months ago Software Engineer ( Fullstack - .NET/C#/Angular) Raleigh, NC $80,000.00-$145,000.00 1 day ago Raleigh, NC $86,500.00-$164,350.00 1 month ago Software Engineer, Back End: Integrations Raleigh, NC $105,000.00-$120,000.00 2 days ago Raleigh, NC $92,860.00-$148,550.00 2 days ago Raleigh, NC $92,860.00-$148,550.00 2 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr