Data Engineer/ETL Engineer

2 weeks ago

London, Greater London, United Kingdom ubs Full time
Information Technology (IT)

Full Time

Do you have proven track record of building big data solutions? Do you want to design and build best-in-class, cloud native big data solutions?

We're looking for a Big Data Lead Engineer to:

  • engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using cloud (Azure) data platform infrastructure effectively.
  • transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques.
  • develop, train, and apply data engineering techniques to automate manual processes, and solve challenging business problems.
  • 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.
  • shape the Data and Distribution architecture and technology stack within our new cloud-based datalake- a hands-on contributor, senior lead in the big data and data lake space, capable to collaborate and influence architectural and design principles across batch and real time flows
  • We are a team of dedicated professionals, who are looking to build out our next generation platform to solve complex enterprise-wide problems and the data store in cloud is a key enabler in our cloud journey


Experience in building Data Processing pipeline using various ETL/ELT design patterns and methodologies to Azure data solution, building solutions using ADLSv2, Azure Data factory, Databricks, Python and PySpark.


  • Scala/Java or Python
  • Deep understanding of the software development craft, with focus on cloud based (Azure), event driven solutions and architectures, with key focus on Apache Spark batch and streaming, Datalakehouses using medallion architecture. The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate datasets.
  • Expert in creating data structures optimized for storage and various query patterns for e.g. Experience in traditional data warehousing concepts (Kimball Methodology, Star Schema, SCD) / ETL tools (Azure Data factory, Informatica)
Experience in data modelling atleast one database technology such as:

  • Traditional RDBMS (MS SQL Server, Oracle, PostgreSQL)
  • Understanding of Information Security principles to ensure compliant handling and management of data
  • Working experience in Agile methodologies (SCRUM)
  • A proven team player with strong leadership skills, who can work in a collaborative way across business units, teams and regions
Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. We have a presence in all major financial centers in more than 50 countries.

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.

Disclaimer / Policy Statements

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