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Azure Data Engineer Databricks Certified Real-Time DataOps
Builds real-time data pipelines on Azure and Databricks for a banking client, using PySpark, Kafka, and CI/CD to collect and process data.
Data Engineering Lead
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Senior Data Engineer
Designs and maintains serverless AWS data pipelines (Lambda, S3, SQS, EventBridge) and CloudFormation IaC, builds Athena datasets for analytics, and creates QuickSight dashboards including SOX compliance reports.
Lead Data Engineer: Cloud Pipelines, Spark & AWS
Lead a team to build and scale cloud data pipelines using Python, PySpark, and AWS for enterprise analytics and reporting.
Data Engineer (Cloud)
Design and build scalable cloud data pipelines and warehouses using Azure, Databricks, and PySpark to turn raw data into trusted analytics-ready datasets for AI and BI.
Senior/Lead Data Engineer
Lead the design and delivery of scalable cloud data pipelines and platforms, mentor engineers, and enforce data governance and DevSecOps practices for a retail/FMCG company.
Azure Data Engineer
Builds and maintains Azure-based data pipelines for a bank using Databricks, PySpark, and Kafka to ingest, process, and report on financial data in real time.
Intermediate Data Engineer
Build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure, automating workflows and CI/CD to deliver reliable, high-performance data solutions.
Data Engineer
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Cloud Engineer (Data Engineering Focus)
Build and maintain scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.
Full Stack Developer (Expert)
Build and maintain data-driven analytics platforms using Python, AWS, and BI tools; develop full-stack solutions with React/Angular and ETL pipelines.
Senior Python Developer — ML Pipelines & PySpark (Hybrid)
Senior Python developer builds and maintains Python apps, contributes to ML pipelines using PySpark, and mentors junior engineers in a hybrid Cape Town role.
Data Engineer (Python, PySpark, Azure/AWS) (CPT)
Build and maintain cloud-based data pipelines and platforms for an investment management firm using Python, PySpark, and Azure/AWS to deliver reliable, trusted data products for decision-making.
Senior Python Developer - Software Development - R1.44M - R960K
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Senior Data Engineer, Databricks (Latam)
Design and optimize Databricks-based ETL/ELT pipelines and streaming systems using PySpark, Delta Lake, and cloud stacks to deliver scalable, secure data solutions for enterprise clients.
Senior Data Engineer -Spark Architecture , PySpark and SQL $800/day
Build and enhance enterprise data platforms using PySpark, SparkSQL, and Azure for investment data processing and analytics.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Senior Manager - Data Engineering
Lead a team of 10–15 engineers to design and scale cloud-native data platforms using Databricks, GCP, and PySpark, while setting engineering standards and security guardrails for enterprise-wide data transformation.
Senior Data Engineer: Spark/PySpark on Azure Lakehouses
Designs and builds Spark/PySpark pipelines on Azure Lakehouses to ingest, transform, and store investment data for analytics and downstream systems.
Data Engineering Tech Lead
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud data engineering.