Data Quality & Acquisition Engineer at Hollard Insurance

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.

Required Knowledge and Experience    
Required Experience

• +7 year related experience
• Experience in database analytical tools.
• Experience in Python, SQL Server, PowerBI, Excel, PowerPoint
• Azure will be advantageous.
• Experience in the Financial Services Sector will be advantageous, especially Short-Term Insurance.

Required Knowledge and Skills

• Proven ability to manage supplier and third-party relationships with significant influence on data use and application.
• Demonstrated experience in data quality management and data governance frameworks.
• Strong ability to analyze complex data issues, challenge assumptions, and recommend value-driven improvements.
• Strong communication skills (written and oral)
• Good project management and delivery skills
• Strategic thinker with strong operational and tactical experience, skills, and knowledge
• Self-management skills (can organise work, space, and time)

Competencies Required:

• Delivering results
• Values teamwork
• Adapting and responding to change
• General Business acumen
• Problem-solving
• Managing complexity

Educational Requirements    

Required Qualifications

• Matric
• BSc (science, maths, statistics), Engineering, Computer Science, IT or Technology related
• Honours and Masters degrees preferred
• Technical Certifications beneficial (CDMP, Azure, MS SQL, PowerBI etc)