Data Engineer, Azure Databricks

Your role

Are you passionate about data engineering? Are you keen to manage data that can materially help teams improve the way they work? You have the opportunity to join the team working on the new DevLens initiative, an ambitious data initiative to support Developer Productivity and Engineering Excellence for over 40,000 IT employees. Together with your team you will contribute to building and maintaining innovative data products spanning all engineering activities across UBS IT lines of business.
We’re looking for a passionate Data Engineer to:
• Develop, support and improve data pipelines and data products with attention to governance including sourcing, lineage, modelling, security, quality, distribution and efficiency
• Analyse and organise raw data and be able to combine multiple datasets of varying quality
• Take ownership and drive deliveries within a supportive team environment
• Follow engineering best practices, and ensure bank & regulatory compliance across the lifecycle
• Ensure the quality, security, reliability, and compliance of our solutions, promote re-use where possible. Automate testing & deployment where possible and build observability to monitor and resolve production issues
• Help manage the department data inventory and data products
• Provide data support to internal & external stakeholders
• Be comfortable within a geographically spread, fast-moving Agile team
• Ensure the quality, security, reliability, and compliance of our solutions
• Continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind

Your team

You will be part of the Development Practices & Standards (DP&S) Engineering global team within the Group CTO – Core Platform Engineering area. The team is responsible for delivering DevLens, the new engineering data solution, and to help improve the efficiency of end-to-end Software Development Lifecycle for the Bank. The team has a strong continuous growth & improvement mindset,
at personal, team and department level.
We are a global organization that values diversity, collaboration, engineering & digital culture, and innovation. You will be able to join one or more UBS Certified programs for Engineers or Data Specialists which offers many learning opportunities. This is one of many strategic initiatives to drive engineering excellence.

Your expertise

• 8+ years of experience in designing/developing data analytics and data warehouse solutions
• strong experience with Azure stack and in particular Azure Databricks, working with large Data/Delta Lake solution with multi-format data
• good understanding on Azure Data Lake Storage Gen2
• proficient Python & T-SQL coding experience, in particular developing Spark jobs
• data modelling experience, ideally creating and maintaining data products
• good understanding of engineering practices and software development lifecycle
• experience working in enterprise software engineering environment including Git (Gitlab)
• familiar with Agile development practices
• adaptable, able to work across teams, functions and applications
• enthusiastic, self-motivated and client-focused
• you hold a relevant bachelor’s degree or equivalent. You are a strong communicator, fluent in English, from making presentations to technical writing.
• nice to have: knowledge in Kafka data streaming on Azure
• nice to have: prior ETL experience using industry tool e.g. PowerCenter/Alteryx/SSIS etc.