Data Engineer, PySpark

Join us as a Data Engineer, PySpark

• This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
• 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
• 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

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 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 need at least five years of experience in PySpark, Python, SQL, CICD, Gitlab and AWS.

You’ll also demonstrate:

• 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
• Strong communication skills with the ability to proactively engage with a wide range of stakeholders