Data Engineer (Cape Town)

A leading global technology organisation with a footprint across the Middle East, Asia-Pacific, Africa, and the United States is driving the next wave of cloud and artificial intelligence innovation. With a strong focus on building responsible AI that delivers real societal impact, the company partners with major financial institutions to enable large-scale digital transformation.

As a Data Engineer, you will work alongside multidisciplinary teams to design and deliver advanced data, AI, and cloud platforms for banking and financial services clients. You will play a critical role in building resilient, high-performance data architectures that power analytics, insight generation, and enterprise-grade AI solutions.

Responsibilities:

• Architect, build, and maintain scalable data pipelines across Azure (Data Factory, Synapse Analytics, Data Lake, Databricks) and AWS (Glue, Redshift, S3, Lambda, EMR, Athena).
• Design and manage robust ETL/ELT frameworks to ingest, transform, and integrate data from multiple on-premise and cloud-based sources.
• Partner closely with data scientists, analysts, and business stakeholders to translate business needs into reliable, production-ready data solutions.
• Optimise pipeline performance, data models, and queries to ensure efficiency, scalability, and cost effectiveness.
• Establish and enforce strong data quality, reliability, and validation practices through testing, monitoring, and alerting.
• Implement security, governance, and compliance controls aligned to financial services and regulatory standards.

Qualifications and experience:

• Bachelor’s degree in computer science, engineering, or a related discipline (or equivalent practical experience).
• 5+ years’ experience in data engineering, with exposure to banking or financial services environments considered an advantage.
• Demonstrated hands-on expertise across Azure and AWS data platforms.
• Strong programming and querying skills in SQL, Python, and Apache Spark (PySpark or Scala).
• Practical experience with tools such as Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and/or AWS Glue, Redshift, EMR, Athena, and S3.
• Working knowledge of DevOps and CI/CD practices for data platforms (e.g. Git, Azure DevOps, AWS CodePipeline).
• Cloud certifications such as Microsoft Azure data engineer associate or AWS certified data analytics are advantageous