Join us as a Data Engineer
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This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
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You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
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Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
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We're offering this role at associate level
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:
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Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
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Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
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Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
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Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
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Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers
To be successful in this role, you’ll need a 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:
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Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
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Experience of cloud technologies including AWS, Snowflake, SQL, and Apache Airflow,SQL and programming languages such as PL/SQL and Python, Spark and Pyspark
- Good knowledge of modern code development practices
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Strong communication skills with the ability to proactively engage with a wide range of stakeholders
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Data visualisation skills using tools like QuickSight ,Tableau, Power BI