Data Quality & Acquisition Engineer

Date: 1 day ago

City: Johannesburg, Gauteng

Contract type: Full time

Job Purpose

To support the delivery of Data Quality and Acquisition Solutions within the Hollard Insure business. The objective is to drive substantial bottom-line value by transforming the organisation's key decision processes (e.g., sales, marketing, product design and pricing, fraud, underwriting, and claims) by enabling the data office to acquire and provide datasets of higher quality to downstream data solutions (data engineering, business intelligence reporting, data science and AI.
The ideal candidate should have a strong background in data analysis, data management (quality, actuisition and governance), data engineering and data visualisation.

Key Responsibilities

TECHNICAL

Strong expertise in Data Quality and Acquisition Management, including applying industry frameworks, principles, and tools to ensure the accuracy, completeness, consistency, and integrity of enterprise data assets.
Strong knowledge of cloud-based big data frameworks, particularly Microsoft Azure.
Proficiency in SQL and Python for data extraction, manipulation, and analysis.
Experience with ETL tools such as SSIS, Azure Data Factory, Azure Databricks, or similar.
Familiarity with Apache Spark, PySpark, and large-scale data processing.
Experience working with Power BI and Azure Synapse, including Medallion Architecture or Fabric.
Solid understanding of data warehousing, data lakes, and lakehouse architectures.
Familiarity with Scaled Agile Framework (SAFe) practices and tools such as Azure Boards (advantageous)
Awareness of cloud and data management trends, including semantic web technologies and major commercial vendors.

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