A Data Engineer is required to work on a large financial treasury system.
You will have extensive data engineering experience, ideally gained within a large enterprise finance/financial services/finance system environment and have worked on a cloud-based data lake, with good knowledge of data modelling, SQL, Python, Azure data bricks, DBT, Kimball, Git, CI/CD pipelines and Agile.
You will have worked through the full software development lifecycle to deployment, release and testing.
You will have excellent stakeholder management, communication skills.
The role will involve working on a treasury system, working as part of a team, dealing with the development, dimensional, data modelling through the full lifecycle to testing completion.
The role will require 3 days on site.
As a Data Engineer you will have the following:
- Data engineering
- Full software development lifecycle
- BI/business intelligence/data warehousing
- Data modelling
- Dimensional modelling
- SQL
- Python
- Azure databricks
- DBT
- Git
- Cloud based data lake
- Kimball
- CI/CD pipelines
- Agile Scrum
- Excellent communication skills
Advantageous
- Financial services/finance/banking/finance systems
3 months initially with possible extensions.
Data Engineer, Senior Data Engineer, Lead Data Engineer, Software Developer, BI Developer, Business Intelligence, Management Information, Datawarehouse, data warehousing, Cloud, Azure