This is a fully remote position, open to applicants in South Africa.

• Design, develop, and manage scalable ETL and ELT pipelines.

• Construct and enhance data architectures, databases, and data warehouses.

• Integrate data from various sources, APIs, and external platforms.

• Ensure the quality, consistency, reliability, and security of data.

• Monitor and resolve issues related to data pipelines and workflows.

• Collaborate with analytics, engineering, and business teams to gather data requirements.

• Establish data governance and implement best practices for data management.

• Enhance data storage, processing performance, and query efficiency.

• Support reporting, business intelligence, and analytics efforts.

• Document data models, workflows, and technical procedures.

• Over 3 years of experience in data engineering, data warehousing, or similar positions.

• Strong command of SQL and database management.

• Proficiency in programming languages such as Python, Java, Scala, or equivalent.

• Practical experience with ETL/ELT tools and the development of data pipelines.

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.

• Experience with contemporary data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.

• Knowledge of orchestration tools like Airflow or Prefect.

• Understanding of data modeling, data governance, and principles of data quality.

• Experience with large datasets and distributed systems is preferred.

• Strong analytical, problem-solving, and communication abilities.

• Capability to work independently in a remote, collaborative setting.

• 💰 **Competitive salary:** Based on experience, technical expertise, and location.

• 🌎 **Fully remote role:** Work from anywhere with flexible working arrangements.

• 🚀 **Career growth opportunities:** Join innovative companies and work on impactful projects.

• 📈 **Long-term opportunities:** Build your career with growing global organizations.

• 🧠 **Continuous learning:** Exposure to modern data technologies, cloud platforms, and large-scale data systems.

• 🤝 **Collaborative culture:** Work alongside talented engineers, analysts, and business leaders.

• ⚙️ **Cutting-edge technology:** Gain experience with modern data stacks and cloud-native solutions.

Data Engineer

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