Senior Data Engineer

In brief

Overview The Senior Data Engineer role at MECS is crucial for ensuring the accuracy, completeness, and reliability of data transformation processes. This position involves working closely with colleagues to deliver validated, actionable outputs from complex datasets. What you will do * 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. Requirements (from the original advert) * 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. * 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. Who should apply An ideal candidate is a Senior Data Engineer with at least four years of relevant professional experience in data analysis, data management, or business intelligence. They should hold a Bachelor’s degree in Science, IT, Actuarial Science, Data Science, or a related discipline. The candidate must demonstrate strong proficiency in Microsoft SQL and advanced Microsoft Excel skills (including Power Query, Power Pivot, and Power BI), with the capability to organise, manipulate, and analyse large datasets. They should be independent, detail-oriented, able to work under pressure, and possess excellent communication and interpersonal skills for effective collaboration with diverse stakeholders. Knowledge of life insurance products is considered advantageous. Deadline Not specified Reference Original posting: https://www.myjobmag.co.za/job/senior-data-engineer-mecs-pty-ltd Source: myjobmag

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At a glance

• SQL
• Power BI
• Microsoft Excel

Extracted automatically from the advert; confirm requirements on the original listing.

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