Data Engineer, AVP
Join us as a Data Engineer
- We're seeking a talented Data Engineer to build effortless, digital first customer experiences and simplify the bank through developing innovative data driven solutions
- You’ll inspire the bank to be commercially successful through insights, while at the same time keeping our customers’ and the bank's data safe and secure
- This is a chance to hone your expert programming and data engineering skills in a fast paced and innovative environment
- We're offering this role at associate vice president level
What you'll do
As a Data Engineer, you’ll partner with technology and architecture teams to build your data knowledge and data solutions that deliver value for our customers. Working closely with universal analysts, platform engineers and data scientists, you’ll carry out data engineering tasks to build a scalable data architecture, including data extractions and data transformation.
As well as this, you’ll be:
- Loading data into data platforms
- Building automated data engineering pipelines
- Delivering streaming data ingestion and transformation solutions
- Participating in the data engineering community to deliver opportunities to support the bank's strategic direction
- Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
The skills you'll need
You’ll be an experienced programmer and Data Engineer, with a qualification or equivalent in Computer Science or Software Engineering. Along with this, you’ll have a proven track record in extracting value and features from large scale data, and a developed understanding of data usage and dependencies with wider teams and the end customer.
We’re also looking for excellent written and verbal communication skills alongside good critical thinking and proven problem solving abilities.
You’ll also demonstrate:
- Experience of AWS, data modelling, schema design, ETL/ELT Pipelines
- Data warehousing and data modelling capabilities in Snowflake
- A good understanding of batch and streaming architectures, Cloud Platform such as AWS, S3, GLUE, Athena, EMR, Lambda, IAM,
- Familiarity with SQL, DWH concepts, DB, Kafka, Python and GIT LAB
Hours
45Job Posting Closing Date:
27/04/2026