We are seeking a skilled and dynamic Data Engineer to join our client a recognized as a household name in the financial industry.
As a Data Engineer, you will play a critical role in shaping and optimizing the bank’s data infrastructure, driving innovation, and supporting data-driven decision-making across the organization. Whether you prefer the stability of a permanent position or the flexibility of a contract role, this opportunity offers a chance to make a significant impact within a high-performing team at the forefront of the banking sector.
Requirements
Purpose Statement
- To contribute to the design and development of new applications / systems to meet the business requirements of the data platform environment.
- To analyze business or system requirements and build and enhance the data platforms.
- To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing data platforms.
Education (Minimum)
- A relevant degree in Information Technology or Data Analysis
Education (Ideal or Preferred)
- A relevant degree in Data Engineering
Minimum Experience:
- At least 6 years’ proven experience within management information systems (MIS) | data warehousing | data transformation information systems / systems analysis together with a relevant 3 year tertiary qualification
OR
- At least 6-8 years’ proven experience within management information systems / system analysis
Proven experience in:
- Working in a cloud environment.
- Data storage and access technologies
- Testing methodologies
- Mentorship
- Quality assuring work of others
Knowledge:
- IT systems development processes (SDLC)
- Data pipelines
- Rational database system and / or cloud data warehousing and / or big data frameworks
- Dimensional modelling
- Standards and governance
- Testing practices
- People leadership practices and principles
- Quality assurance practices and processes
Ideal:
Experience:
- Experience working in an AWS environment as well as with AWS Technologies and Azure
- Orchestration technologies
- Data modelling
Knowledge:
- Data architecture (technical design and implementation processes)
- Banking systems environment
- Banking business model
- Best practices for Quality Assurance (QA)
Desired Skills:
- Data modelling
- AWS
- Data Pipelining
Desired Qualification Level:
- Degree
About The Employer: