AWS Data Engineer, VP

Job Summary

Join us as a Data Engineer

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

What you'll do

As a Data Engineer, youll 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 banks data, safe and secure.

Youll 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. Youll 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

The skills you'll need

To thrive in this role, youll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.Youll also bring practical experience of programming languagesalongside knowledge of data and software engineering fundamentals.

Additionally, youll need:

• ETL technical design
• data quality testing
• data cleansing
• data monitoring
• data sourcing
• AWS Data Analytics
• Snowflake
• Python
• SQL

Hours

45