About the role

  • Data Engineer responsible for building scalable data solutions and collaborating with various teams. Focused on data extraction, transformation, and maintaining optimal architecture.

Responsibilities

  • Building data solutions
  • Carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture
  • Carrying out data extractions, transforming data to make it usable to data analysts and scientists
  • Loading data into data platforms
  • Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
  • Practicing DevOps adoption
  • Collaborating closely with core technology and architecture teams
  • Developing a clear understanding of data platform cost levers
  • Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers

Requirements

  • At least five years of experience in SQL, Spark, Kafka and any cloud such as AWS, Azure or GCP
  • Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
  • Experience of using programming languages alongside knowledge of data and software engineering fundamentals
  • Good knowledge of modern code development practices.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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