Senior Data Engineer
MECS Pty Ltd · Johannesburg, Gauteng
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- As a Data Engineer, you will play a crucial role in ensuring the accuracy, completeness, and reliability of data transformation processes. You will work closely with colleagues to deliver validated, actionable outputs from complex datasets.
Key Responsibilities
- Understand and work with existing team data processes, tools, and frameworks.
- Support data transformation from multiple input systems e.g., DINO, local SQL databases into concise, validated outputs for business teams.
- Perform thorough validation and verification checks to ensure data accuracy and completeness.
- Identify, document, and communicate data errors clearly and concisely.
- Collaborate with the data team to implement and track solutions for data issues.
Technical Requirements & Expertise
- Strong proficiency in Microsoft SQL for data ingestion, transformation, and analysis.
- Advanced skills in Microsoft Excel, including Power Query, Power Pivot, and Power BI.
- Ability to organise, manipulate, and analyse large datasets.
- Knowledge of life insurance products is advantageous.
Qualifications & Background
- Bachelor's degree in Science, IT, Actuarial Science, Data Science, or a related discipline.
- Minimum of four years' relevant professional experience in data analysis, data management, or business intelligence.
- Ability to work independently with strong attention to detail.
- Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.
- Ability to work under pressure and meet deadlines in a fast-paced environment.