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AI Data Engineer - Big Data Pipelines
AI Data Engineer building and maintaining scalable big data pipelines (ETL/ELT, data warehouses and lakes on cloud) that feed AI/ML initiatives, ensuring data quality and performance end to end. Core stack: SQL, Python/Scala/Java, Spark/Hadoop/Flink, Airflow, AWS/Azure/GCP data services.
Senior Data Engineer
PBT Group is hiring a Senior Data Engineer in Johannesburg (hybrid, 12-month contract) to design, build and optimise cloud-native data platforms and near-real-time pipelines on Google Cloud Platform, working with BigQuery, Dataflow, Pub/Sub, Cloud Run, GKE, Cloud Composer and dbt, using advanced Python and SQL.
Data Engineer
Data engineer (12-month renewable contract) at BICRM's Johannesburg office, focused on cloud migration, data modelling, building and managing data pipelines, hybrid cloud/on-prem analytics infrastructure, and deploying and maintaining machine learning models. Requires 6+ years of data engineering experience; South African citizens or permanent residents only.
Senior Data Engineer - Cloud & ML Pipelines (12m Contract)
12-month renewable contract for a senior data engineer with 6+ years' experience: driving cloud migration, data modelling, and robust data pipelines across hybrid cloud and on-prem assets, plus deploying and maintaining ML models with DevOps/DataOps practices. On-site role (posting mentions both Pretoria and Johannesburg).
Senior Data Engineer (Big Data & ETL)
Senior Data Engineer at a data analytics firm in Sandton (hybrid work). Day to day: designing, building, and maintaining scalable ETL/ELT pipelines and cloud data infrastructure using big data tools (Spark, Hadoop), SQL, Python/Scala, and cloud platforms like AWS, Azure, or GCP to support BI, ML, and reporting.
Senior Data Engineer (Big Data & Analytics)
Senior Data Engineer designing, building, and maintaining big-data pipelines, warehouses, and data lakes for a telecommunications company, turning massive datasets into analytics-ready insights. Core stack: Spark, Hadoop, Kafka, SQL, Python/Scala/Java, and cloud data platforms (AWS, Azure, GCP). Remote-first within South Africa.
Senior Data Engineer - GCP Cloud-Native Pipelines (Hybrid)
Senior Data Engineer at PBT Group in Johannesburg (hybrid) designing, developing and optimising scalable, cloud-native data platforms and near-real-time pipelines on Google Cloud Platform, with a focus on distributed, highly parallelised batch and streaming and event-driven processing.
Senior Data Engineer – Google Cloud Platform (GCP)
Senior Data Engineer on a 12-month contract (Johannesburg, hybrid) at consultancy PBT Group, designing and building scalable cloud-native data platforms and near-real-time pipelines on GCP. Core stack: BigQuery, Dataflow, Pub/Sub, dbt, Python and SQL, with workloads on Cloud Run and GKE.
Full Stack Developer (Expert) 1508
Senior AI software engineer/architect on a 3-year hybrid contract in Pretoria, owning the full lifecycle of AI-native data products and cloud platform services. Core stack: Java/Spring Boot and Python, with LLMs, RAG and AI agents, data pipelines (ETL), and AWS/Kubernetes/Terraform.
Head of AI
Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and…
Database Architect
Database Architect at Reily Foods (food & beverage manufacturer) who designs, optimizes, and sets long-term strategy for enterprise databases, data warehouses, ETL/ELT pipelines, and ERP integrations. Core stack includes SQL, Python, cloud data platforms like Microsoft Fabric/Databricks, and Microsoft Dynamics 365 F&O; onsite in New Orleans, LA.
Data Engineer
Data Engineer (100% remote in Spain) at Kairós to design, build and maintain scalable data pipelines, model information and monitor data quality as the project's 'Data Champion'. Core stack: Scala, Spark, Airflow, SQL and AWS, with Python as a plus; 3+ years of data engineering experience required.
Data Engineer
Data Engineer at Alcampo (Spanish supermarket retailer, Auchan group) in Zaragoza, developing and maintaining applications and systems in the Data IT area — from analysis and development to deployment and incident support. Core stack: Python, advanced SQL, dbt, BigQuery, Snowflake, OneLake, PowerBI and medallion DWH modeling.
Data Engineer
Data Engineer at Altia, a Spanish IT services firm, joining a data engineering team to build cloud data pipelines and analytical transformations with SQL, ETL and dimensional modeling over large data volumes; Snowflake/Databricks and Spark experience valued.
Data Engineer: Big Data Pipelines & Cloud Analytics
Data Engineer at Altia building and optimizing big data pipelines and analytical transformations on cloud platforms, using SQL and analytics tools to deliver high-value business insights. Experience with Snowflake, Databricks and Apache Spark is valued.
Senior Python - AI Developer
Senior AI engineer at Allianz Technology in Barcelona who designs, builds, and deploys enterprise AI solutions on Microsoft Azure (Azure OpenAI, Databricks, MLflow, Delta Lake), acting as the department's AI/cloud architecture SME with a focus on LLMs, RAG, and agentic AI use cases.
Senior Data Engineering Manager
Lead a team of data engineers to build and maintain AWS-based data pipelines and platforms for a battery recycling company, ensuring reliable data flow from ingestion to analytics.
Data Architect
Technical lead for data architecture and the Data Engineering team at a mental health agency, designing secure pipelines, warehouses, and analytics around the EHR using Microsoft Fabric, SQL Server, and Power BI, with HIPAA-compliant data governance.
Data Engineer: ETL Pipelines, SQL Server & Power BI
Data engineer building and modernising Pentas Flora's internal data integration and warehouse: extracting data from core and business systems, transforming and validating it with Python and ETL tools, and loading it into Microsoft SQL Server for reporting and analytics, including Power BI.
Data Engineer
Builds and maintains Python-based ETL pipelines and a Microsoft SQL Server data warehouse (dimensional modelling, T-SQL, layered Medallion-style architecture) for Pentas Flora, a scheduled waste management company, delivering clean, reconciled datasets to Power BI for enterprise reporting and analytics.