Senior Data Engineer
Senior Data Engineer at RaytonCorp in Johannesburg who designs and owns scalable data pipelines, ETL/ELT processes, and data models for analytics and BI, while leading a small team of two data analysts. Core stack: advanced SQL, Python, cloud data platforms (Azure/AWS), and BI tools like Power BI or Tableau.
- Compensation
- Not disclosed
- Location
- Johannesburg, South Africa
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- ~8 years' experience working with data
- Significant hands-on experience as a Data Engineer
- Prior experience as a Data Analyst or analytics-focused role
- Experience supporting business intelligence and reporting platforms
- Experience leading or mentoring junior team members
- Advanced SQL (query optimisation, complex joins, performance tuning)
- Strong experience with data pipelines and ETL/ELT tools
- Proficiency in Python (or similar) for data processing and automation
- Experience with cloud data platforms (Azure, AWS, or equivalent)
- Data modelling (star schemas, fact/dimension tables)
- Familiarity with BI tools such as Power BI or Tableau
- Strong understanding of KPIs, metrics, and business reporting
- Ability to translate business questions into technical data solutions
- High attention to detail and data accuracy
- Excellent problem-solving and communication skills
Nice to have
- Experience in managed services, consulting, or multi-client environments
- Exposure to data governance or compliance frameworks
- Experience working with large or high-velocity datasets
- Microsoft data stack experience (Azure Data Factory, Synapse, Fabric, SQL Server)
Full description
Role Overview
RaytonCorp (PTY) Ltd is seeking a Senior Data Engineer with a strong foundation in Data Analytics to design, build, and manage robust data platforms that deliver meaningful business insights. This role is ideal for a hands‑on data professional who understands not only how to move and structure data, but also why the data exists and how it is used to drive decisions. You will oversee a small analytics team (2 Data Analysts) while remaining deeply involved in data engineering, modelling, and optimisation.
Key Responsibilities
Data Engineering & Platform Ownership
- Design, build, and maintain scalable data pipelines and ETL/ELT processes
- Ensure data reliability, performance, and accuracy across all data systems
- Optimise data storage, transformation, and querying for analytics and reporting
- Integrate data from multiple internal and external sources
Analytics Enablement
- Translate business requirements into well‑structured datasets and models
- Ensure data structures support meaningful insights, KPIs, and reporting
- Collaborate with stakeholders to understand analytical needs and outcomes
- Enable self‑service analytics and BI where appropriate
Team Leadership & Oversight
- Lead and mentor a team of 2 Data Analysts
- Review analytical outputs to ensure accuracy, clarity, and business relevance
- Set standards for data quality, documentation, and best practices
- Assist analysts in complex data investigations and modelling challenges
Governance, Security & Best Practices
- Implement data quality checks, monitoring, and validation processes
- Ensure compliance with data governance, security, and privacy standards
- Document data pipelines, models, and architectural decisions
- Contribute to long‑term data architecture and strategy planning
Required Experience & Skills
Experience
- Approximately 8 years’ experience working with data, including:
- Significant hands‑on experience as a Data Engineer
- Prior experience as a Data Analyst or analytics‑focused role
- Proven experience supporting business intelligence and reporting platforms
- Experience leading or mentoring junior team members
Technical Skills