Azure Data Engineer @ Greentick Value

Job Description

Do you want to design and build attractive digital products and services 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:
design and implement data models, data stores and other data architecture components
design, develop and maintain robust data pipelines to ensure accurate and secure data flow
monitor, optimise and troubleshoot the pipelines to identify and resolve performance issues
collaborate with our stakeholders (Portfolio Managers, Portfolio Engineers and Traders) to understand the business data definitions and rules and create conceptual, logical and physical data models to translate them into database designs
collaborate with your colleagues to build data solutions which bring value to our stakeholders
develop and maintain documentation of the implemented solutions

Your Career Comeback

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

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 Managing Investments Technology team focusing on providing high quality technology solutions to support Portfolio Management and Trading across UBS Asset Management.
You will be part of a data pod, integrating, transforming, and consolidating data from various structured, unstructured, and streaming data sets into suitable schemas for building a first-class scalable, digital and integrated event-driven Multi-Asset Portfolio Management and Trading platform.

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bachelor s and/or master s degree or equivalent focusing on computer science, computer engineering, data engineering or a related technical discipline
strong knowledge of data modelling and database design principles
strong experience with sql and nosql databases
experience with modern data warehouse, big data, lakehouse and data mesh architectures
proficient in using the following to create data processing solutions: azure data factory, azure synapse analytics, azure stream analytics, azure event hubs, azure data lake storage, azure databricks
experience with microservice and event-driven architecture is beneficial.
traditional investments (stocks, bonds and cash) financial data domain knowledge of market data, security reference data, position data, trade data and risk data is a plus
experience working in agile or scrum development processes is beneficial
good communication skills both written and verbal
strong analytical and problem-solving skills, you like to figure out how things work

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Keyskills:   sql java data warehousing informatica python fixed income derivatives big data data domain market data data models data modeling reference data financial data data solutions data processing problem solving database design computer science data engineering data architecture