Our client is looking for an Intermediate Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You'll work closely with analysts, data scientists, and software engineers to ensure reliable, high‑quality data is available for reporting, analytics, and machine learning use cases. Responsibilities Design, develop, and maintain robust ETL/ELT pipelines Build and optimize data architectures (data lakes, warehouses, lakehouses) Ensure data quality, integrity, and availability across systems Collaborate with stakeholders to understand data requirements Monitor and troubleshoot data pipelines and workflows Implement data governance, security, and compliance best practices Optimize query performance and storage efficiency Document data models, pipelines, and processes Support real‑time and batch data processing solutions Qualifications & Experience 3‑5 years of experience in data engineering or a similar role Strong proficiency in SQL and Python Experience with ETL/ELT tools (e.g., Airflow, DBT, Talend) Hands‑on experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Understanding of data modeling concepts (star schema, normalization) Experience working with large datasets and distributed systems Version control experience (e.g., Git) The Reference Number for this position is NG61289 which is a permanent position based in Cape Town offering a salary of up to R700k per annum negotiable on experience and ability. Contact Nokuthula at or call her on to discuss this and other opportunities. #J-18808-Ljbffr