Data Engineer (ADA Foundation Hub) - Group CTO

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Do you want to be part of a team that is designing and building next generation data solutions using the latest technologies? Are you confident working with data professionals, collaborating across technology areas and engaging with key business stakeholders? Are you passionate about enabling the business by utilizing analytical and machine learning skills to help improve our products and services?

We are looking for a Data Engineer to:

• help shape the direction and delivery of a key strategic undertaking, supporting cross divisional needs
• work with business stakeholders and aligned technology teams to help transform data into valuable insights that inform business decisions; understand, represent and advocate for client needs
• lead data and model preparation helping represent information cleanly and accurately, applying industry standards, open standards and internal standards where appropriate
• engineer reliable data pipelines for sourcing, processing and distributing data using the data ecosystem effectively
• develop, train, and apply machine-learning models to solve business problems, and ensure the quality, security, reliability and compliance of our solutions by applying our digital principles
• learn new technologies and practices and make decisions with long-term sustainability in mind, work in an Agile way as part of multi-disciplinary teams
• share knowledge and expertise with colleagues, assist in hiring talented data engineers and contribute regularly to our engineering culture and internal communities

Your Career Comeback

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

Your team

You'll be working within the global Artificial Intelligence, Data & Analytics Center of Expertise team, closely interacting with our business professionals and data scientist teams across our firm. You will be joining a team that are helping to scale, build and leverage data and AI in the business. Our team partners with different divisions and functions across the Bank to develop innovative digital solutions and expand our technical expertise into new areas. Our team has recently been founded and you will have the opportunity to further shape and establish its footprint in the organization.

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.

Your expertise

• ideally 5 + years of experience working with databases, data extraction, data mining, data analytics, data visualization
• demonstrated operational understanding of modern data concepts, platforms and technologies: building data warehouses, distributed computing, streaming data, modelling concepts, DevOps and DataOps
• proven experience with Dev/Test workflows and concepts and proven leadership (ideally 5+ years) and delivery on projects involving data solutions incorporating diverse datasets
• familiarity and deep knowledge with one or more tools and languages such as: VBA, Python, Alteryx, Tableau, SQL or equivalent, experience with Cloud and Agile methods
• ability to translate business objectives into technical requirements with concrete actions and manage and grow a consistent project pipeline, scoping projects, align and execute on execution with stakeholders and articulate technical concepts and results to diverse audiences
• evidence of successful management of complex and diverse tasks, while meeting key objectives and timelines
• solid interpersonal skills, able to build trusted relationships within our team and across the organization at all levels, and strong motivation in building our team and being a mentor to hire and upskill technical talent
• understanding of Data Mesh principles and how they can be used to improve business benefit and increase delivery velocity of Data Assets in a complex environment is highly desired

LI-UBS