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.
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