Job Description

Ready to build data magic that powers real business impact?
If you love transforming raw information into reliable, scalable, high-performance data systems -- this one's for you!
We're looking for a talented Data Engineer who enjoys crafting solid data architecture, optimising databases, and making sure data flows effortlessly from source to solution. This role blends hands-on database administration with modern data engineering, giving you the chance to work closely with analysts and developers to create high-quality pipelines, dependable datasets, and innovative data products.
What You'll Be Doing

• Creating large, complex data sets that meet both functional and non-functional business requirements
• Designing, developing, and maintaining scalable ETL pipelines and data workflows
• Building reliable infrastructure to extract, transform, and load data from diverse sources -- often Cloud-based
• Identifying opportunities to automate, optimise, and improve internal data processes
• Developing tools and solutions that turn data into actionable business insights
• Ensuring data quality, consistency, integrity, and security across environments
• Driving best practices in data engineering, performance, and documentation

Skills & Experience You Bring

• Bachelor's Degree in Computer Science, Engineering, Mathematics, or similar
• 5-7 years' experience in data engineering, database management, or a related role
• Strong programming capability in Python or Scala
• Advanced SQL skills and experience with relational databases (MSSQL, MySQL, PostgreSQL, etc.)
• Exposure to NoSQL technologies
• Proven experience in performance tuning and database optimisation
• Solid understanding of data integration concepts and practices
• Exposure to BI tools (Power BI, Yellowfin, etc.)
• Experience with MS SQL Replication and data archiving strategies is beneficial
• Experience with cloud technologies (AWS, Azure, GCP) and tools like S3, Lambda, Redshift, BigQuery, or Snowflake
• Familiarity with big-data ecosystems such as Apache Spark, Databricks, or Hive
• Understanding of data modelling, warehousing concepts, and data governance
• Exposure to data cleansing and de-duplication strategies

Bonus Points For

• Experience with streaming platforms (Kafka, Spark Streaming, Flink)
• Knowledge of Docker and Kubernetes
• Understanding of CI/CD and infrastructure-as-code
• Exposure to machine learning workflows or MLOps

In sending your CV, you confirm that you have read and understood our POPI Policy found on our website www.recruitech.co.za. Should you be unsuccessful for this particular position, you have no objection to us retaining your personal information in our database which you confirm is true, correct and up to date. Should a suitable opportunity arise in the future, we will contact you and request your permission to submit your information.
For more information please contact:
Tiah Govender

Skills Required