Data Analysis jobs in South Africa

We are seeking an experienced Senior Data Engineer – Team Lead to join our team and drive innovation through data. This role combines advanced technical expertise in data engineering with leadership skills to guide and mentor a team in delivering impactful data solutions. The ideal candidate has a knack for data analysis, modelling, and transformation, and thrives in translating business needs into actionable technical strategies. As a Team Lead, this role starts with pre-execution phases to provide critical technical input. You will oversee a project team, ensuring successful execution, and deliver technical guidance to meet and exceed client expectations.

• Identify valuable data sources and automate collection processes.
• Perform pre-processing of structured and unstructured data.
• Analyse large datasets to uncover trends, patterns, and actionable insights.
• Design, build, and develop relational and star-schema data models.
• Architect, develop, and optimize data warehouses and database solutions.
• Implement ETL solutions using tools like SSIS, Azure Data Factory, and SQL Server procedures.
• Develop and maintain real-time analytics and batch processing frameworks.
• Utilize Big Data technologies like Hadoop, Spark, and Kafka for distributed storage and processing.
• Implement cloud-based analytical applications in environments such as AWS and Microsoft Azure.
• Collaborate with engineering and product development teams to deliver data-driven solutions.

• Provide technical guidance and day-to-day mentoring to team members.
• Foster effective communication and collaboration to meet team objectives.
• Monitor project execution, ensuring adherence to quality standards and timelines.
• Identify and address technical and project risks proactively.
• Cultivate a culture of accountability, trust, and continuous improvement.
• Manage client expectations through consistent communication and effective issue resolution.

• Engage in pre-execution phases of projects, providing valuable technical input and strategic guidance.
• Translate business requirements into technical strategies, ensuring alignment client goals.
• Propose solutions and strategies to address business challenges using data insights.

• Perform database performance tuning and optimization.
• Present information through data visualization tools like Tableau or Power BI.
• Update database structures and maintain data quality processes.
• Research and implement emerging data engineering tools and methodologies.

• Tertiary degree, diploma, or certificate in a related field (e.g., BSc Computer Science, B.IT, Informatics).
• DP-203: Data Engineering on Microsoft Azure Certification.

• 5-7 years of experience as a Data Engineer or Database Developer.
• Expertise in data mining, large-scale data modelling, and business requirements analysis.
• Proficiency in designing and implementing data integration and ETL solutions.
• Experience with Dimensional Modelling and/or Data Vault methodologies.
• Working knowledge of data quality processes and master data management.
• Familiarity with Big Data technologies (Hadoop, Spark) and event processing tools (Kafka, Event Hub).
• Proficiency in database languages (T-SQL, ANSI SQL, PL/SQL).
• Experience with cloud-based tools like Azure SQL, Synapse, Data Lake, and Databricks.
• Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.

• Critical Thinking: Evaluate solutions logically to identify strengths and weaknesses.
• Systems Analysis: Understand how systems operate and how changes impact outcomes.
• Complex Problem Solving: Develop and implement solutions for intricate challenges.
• Technical Literacy: Assess how software solutions fit into organizational structures.
• Data Expertise: Strong understanding of database architecture, data integration, and analytics tools.

• Team Leadership: Guide and inspire teams to achieve goals while fostering a collaborative culture.
• Schedule Management: Ensure development milestones are met on time for self and team.
• Client Engagement: Communicate effectively with C-level stakeholders to align on project vision and deliverables.
• Strategic Execution: Translate organizational strategies into measurable, executable projects.

• Database Development: MS SQL, SSIS, SSAS, SSRS.
• Big Data Tools: Hadoop, Spark, Kafka, Event Hub.
• Programming Languages: Python, Java, C#, R, Scala.
• Cloud Solutions: Azure Synapse, Azure Data Factory, Data Lake, Databricks.
• Visualization Tools: Tableau, Power BI.

• Analytical mindset and business acumen.
• Ability to meet tight deadlines and manage complex tasks independently.
• Valid driver’s license and own transport.
• Flexibility and adaptability to dynamic environments.

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