Data Engineer specializing in data architecture and solutions for a banking environment, driving value for customers through innovative engineering practices and technologies in data management.
Responsibilities
Driving value for customers by building data solutions
Carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture
Performing data extractions, transforming data for usability by data analysts and scientists, and loading data into data platforms
Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change for product development
Practicing DevOps adoption in data engineering delivery, proactively performing root cause analysis
Collaborating closely with core technology and architecture teams to build data knowledge and solutions
Developing an understanding of data platform cost levers for strategic solutions
Sourcing new data and integrating it into the overall solution for customers
Requirements
At least six years of experience in Data Engineering, PySpark, Python and SQL
Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
Experience using programming languages alongside knowledge of data and software engineering fundamentals
Good knowledge of modern code development practices
Strong communication skills with the ability to proactively engage with a wide range of stakeholders.
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