Join us as a Data Engineer, AVP
- 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
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 have at least four years' experience in Java, J2ee and web services. You'll be an experienced programmer and data engineer, with a BSc 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.
You’ll also demonstrate:
- Expertise knowledge of RESTful API, microservices and event driven architecture such as Lambda and Spring Frameworks
- Exposure to CI/CD and messaging layers such as Kafka or any other
- Good knowledge of container technologies such as Docker and Kubernetes
- Experience with MongDB architecture, patterns and a good understanding of NoSQL technologies such as MongoDB
- Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing and data modelling capabilities
Hours
45
Job Posting Closing Date:
Job Posting Closing Date is not yet published.
