Are you someone who can:

• Can design and have implementation experience with large scale data developments, data warehouses, operational data stores and data marts?
• Understand and can design and implement data pipelines?
• Understand system specification?
• Understand quality data management?
• Can code in database and data management languages for both DML and DAL, pipelines and data engineering related tasks?
• Have implemented master, reference and metadata solutions?
• Creating procedures and other code artefacts with high degrees of complexity in multiple data pipeline solutions?
• Know how to work in projects and being involved from the planning design phase?
• Build sound relationships with a broader team and variety of stakeholders?
• Engineer and leverage processes and technologies to meet business needs?
• Produce consistently high-quality outputs within agreed deadlines.

Y ou will be an ideal candidate if you:

Qualifications:

• Certificate or Diploma in a computer science, information systems or related field.

Experience:

• 3 to 5 years of experience in a similar environment, of which 1 to 2 years has been at a mid to senior level.
• Ab-initio and Teradata experience would be highly advantageous

You will be the idea candidate if you:

• Have worked with data unit testing.
• Finance experience is an advantage, as would be any banking experience.
• Have developed databases, data warehouses, data marts and operational data stores.
• Have experience in SQL languages.
• Have good communication skills.
• Have a strong drive to pay attention to detail.
• Understanding of and implementation of database performance optimization, tuning, analysis and specification.
• Solution definition and problem-solving skills.
• Experience and knowledge of cloud computing desired.
• Good understanding of business processes.
• Strong organizational skills.
• Excellent interpersonal, communication, and negotiation skills.
• Knowledgeable about all phases of the software development life cycle.
• Good knowledge of modern data engineering principles and best practices.
• Certificates to demonstrate knowledge and competency are an advantage.