• 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 customer’s 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 a comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Building automated data engineering pipelines through the removal of manual stages
• 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
• Working in an agile way within multi-disciplinary data and analytics teams, to achieve agreed project and scrum outcomes

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 also demonstrate:

• Experience of ETL technical design, including data quality testing, cleansing and monitoring, QA and documentation, data warehousing and data modelling capabilities
• Experience in Amazon Web Services, Snowflake, SQL, Informatica, Apache Airflow and Agile methodologies
• Experience in Python, Kafka and Streamsets
• Good knowledge of modern code development practices
• Strong communication skills with the ability to proactively engage with a wide range of stakeholders
• Good critical thinking and proven problem solving capabilities