Data Engineer, VP

Join us as a Data Engineer

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We're offering this role at vice president level

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

To thrive in this role, you’ll need strong experience with Snowflake for data warehousing, along with the ability to write efficient SQL and manage schemas. You’ll also bring proficiency in Airflow for orchestration and workflow management, as well as hands‑on experience with AWS services, particularly S3 and Lambda.

Additionally, you’ll need:

• At least 10 years of experience in ETL/ELT processes, along with in‑depth understanding of data warehousing and data modelling
• Strong experience with Kafka concepts such as producers, consumers, and topics, with the ability to integrate them into streaming pipelines
• Proficiency in Python for data engineering, as well as experience with version control systems such as Git
• Proven ability to drive technical initiatives and provide mentorship to junior engineers
• Knowledge of Snowflake performance tuning would be an added advantage
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders

Hours

Job Posting Closing Date: