What you'll do
As a Lead 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
The skills you'll need
We're looking for someone with significant experience within the data engineering space, and to thrive in this role, you’ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You’ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.
In addition, you'll need strong people management skills, with particular emphasis on leadership, mentoring and colleague development, and some experience as a lead.
You'll also demonstrate:
- Significant experience in data stores and their models or structures, both relational such as Oracle and NoSQL equivalents like MongoDB, with experience in Hadoop and Snowflake being ideal
- Experience in the manipulation and movement of data, both traditional ETL such as Informatica, and more modern realtime or event based like Streamsets or Kafka in a microservices architecture
- Data warehousing and data modelling capabilities and a good understanding of modern code development practices
- Experience of working in a governed, and regulatory environment
- Excellent communication skills with the ability to communicate complex technical concepts clearly to your peers and management level colleagues