Data Engineer

Skills and Experience

• Knowledge of the Financial and Investment Industry.
• Understanding of general business terminology.
• Experience in engaging with stakeholders at all levels of business.
• Able to present and communicate concepts and ideas clearly to an audience.
• Drive to gather accurate and comprehensive information.
• Able to collate and organise information.
• Experience in information classification and taxonomy.
• Able to interpret and simplify information.
• Keen understanding of data terminology and principles.

Data Management and Business Intelligence:

• Provide data management services to the Client Engagement team.
• Provide input to data quality deliverables, conduct root cause analysis into anomalies & provide feedback to data governance facilitator.
• Identify and recommend data cleansing opportunities.
• Identify and recommend new metrics, attributes, datasets to support business intelligence requirements.
• Driving a Data-Driven approach to decisions.
• Driving on a Right-Data at the Right-Time principle to Intelligence.

Technical competencies:

• Excellent digital literacy.
• General Windows operating skills.
• Good knowledge of the Office 365 suite of tools (Teams, Word, Excel, PowerPoint).

Solid knowledge of:

• SQL (ANSI – preferably T-SQL)
• Dimensional modeling (Kimble methodology)
• RDBMS architecture
• OLTP and OLAP concepts
• Data integration concepts (ETL / ELT)

Educational Requirements (Educational / academic qualifications);

• Matric essential.
• Technical degree or diploma (in related industry) advantageous.
• Formal business/technical analysis training advantageous.
• Relevant data certifications advantageous.