Data Engineering & Analytics Lead

Datonomy Solutions (Pty) Ltd; South Africa; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Datonomy Solutions (Pty) Ltd is seeking a Data Engineering & Analytics lead to oversee the organisation's data strategy, engineering function, and reporting capability. You will ensure reliable, scalable, and cost-effective data solutions to support business decisions and operational efficiency.

You will design and maintain robust data pipelines, drive standardised reporting metrics, and provide technical leadership to a data team, aligning initiatives with executive objectives and governance

Qualifications

• Experience leading data engineering, BI and data warehousing initiatives.
• Strong SQL proficiency and hands-on with modern data platforms.
• Proven ability to design and manage ETL/ELT pipelines at scale.
• Knowledge of data architecture principles and best practices.
• Experience in cloud cost management and optimisation.
• Excellent leadership, communication and stakeholder management skills.

Responsibilities

• Oversee data strategy, engineering function, and reporting capability.
• Design, build, and maintain data pipelines across on-premise and cloud environments.
• Provide technical direction, mentorship, and oversight to the data team.
• Align data initiatives with business and executive objectives.
• Define and maintain data architecture (lakehouse, warehouse, hybrid).
• Manage cloud data platforms, storage and compute resources; optimise costs.
• Establish data governance frameworks, standards and policies.

Skills

Data engineering

BI

Data warehousing

Advanced SQL

ETL/ELT pipelines

Cloud cost management

Leadership

Stakeholder management

Data architecture

Tools

Microsoft Fabric

Azure

SQL Server

Job description

Purpose of the Role

The Data Engineering & Analytics lead is responsible for overseeing the organisation’s data strategy, engineering function, and reporting capability. This role ensures the delivery of reliable, scalable, and cost-effective data solutions that support business decision-making and operational efficiency.

Key Responsibilities

Data & Reporting Management

• - Manage and oversee all core business reporting across the organisation
• - Maintain, enhance, and take ownership of existing reporting solutions
• - Continuously optimise and improve reporting performance, usability, and accuracy
• - Drive standardisation of reporting metrics and definitions across the business

Data Engineering & Pipelines

• - Design, build, and maintain robust data pipelines across both on-premise and cloud environments
• - Ensure efficient data ingestion, transformation, and delivery across multiple data sources
• - Implement best practices for scalability, performance, and reliability of data pipelines

Team Leadership & Coordination

• - Coordinate and guide the data engineering function with support from the CIO
• - Provide technical direction, mentorship, and oversight to the data team
• - Align data initiatives with business and executive objectives

Data Architecture & Strategy

• - Define and maintain the organisation’s data architecture (e.g., lakehouse, warehouse, hybrid models)
• - Ensure alignment between data engineering, reporting, and business needs
• - Drive innovation by identifying and implementing modern data solutions

Cloud & Cost Management

• - Manage cloud data platforms, storage, and compute resources
• - Monitor and optimise capacity usage (e.g., compute units, storage costs)
• - Implement cost-efficient data processing and storage strategies

Data Governance & Quality

• - Establish and enforce data governance frameworks, standards, and policies
• - Ensure data quality, consistency, and security across all systems
• - Implement monitoring and validation processes to maintain data integrity

Database Administration Support

• - Assist with database administration tasks, including performance tuning, backups, and maintenance
• - Support the stability and reliability of on-premise and cloud database environments

Key Skills & Experience

• - Strong experience in data engineering, BI, and data warehousing
• - Advanced SQL and experience with modern data platforms (e.g., Microsoft Fabric, Azure, SQL Server)
• - Experience building and managing ETL/ELT pipelines
• - Understanding of data architecture principles and best practices
• - Experience with cloud cost management and optimisation
• - Strong leadership, communication, and stakeholder management skills