What you'll do
As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.
You’ll also be:
- Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
- Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
- Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
- Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
- Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers
The skills you'll need
To be successful in this role, you’ll need a minimum of four years of experience with good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data.
You’ll also demonstrate:
- Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
- Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control
- Experience in data engineering toolsets such as Airflow, RDBMs (PGSQL/Oracle/DB2), Snowflake, S3, EMR,DataBricks and Data Pipelines
- Experience in reporting tools such as QuickSight