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Real-Time PySpark Data Engineer on AWS
Design and build scalable data ingestion pipelines on AWS using PySpark and SageMaker Unified Studio for real-time and batch processing.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
AWS Data Engineer
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Staff Data Engineer (AWS, Postgres)
Lead a team to design and build cloud-native data pipelines in AWS (S3, Glue, Redshift, Airflow) and Postgres, delivering scalable solutions for financial control and reporting at a major bank.
Staff Data Engineer (Data Platform & Modernisation)
Lead a team to design and build a new cloud-based data platform in AWS for Product Control, using services like S3, Glue, Iceberg, and Redshift to solve complex data-driven challenges at scale.
Data Engineer
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.
Data Engineer
Build and maintain scalable data pipelines and ML models to power Kogan.com’s eCommerce operations, enabling data-driven decisions across marketing, logistics, and finance.
Pyspark AWS Data Engineer
Build and optimize AWS-based data pipelines using PySpark, Airflow, and Redshift to ingest, process, and transform real-time and batch data for enterprise clients.
Data/Ml Engineer - €58.000 - €77.000 A Year
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Data Scientist – Platform AI Squad
Build and deploy enterprise-grade AI applications using Python, LangChain, and AWS cloud services like Bedrock and SageMaker.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Senior Data Engineer (SQL, AWS) - SPVL
Design and optimize high-performance data pipelines and platforms using SQL, Python, AWS, and Spark to power analytics, dashboards, and AI models.
Data Architect (AI)
Design and optimize a high-performance data platform to power analytics, dashboards, and AI models, leveraging AWS tools like Redshift, Glue, and SageMaker.
AI Software Engineer
Builds full-stack cloud-native apps that integrate GenAI models into healthcare systems, using Java/Spring Boot, Python, React, and AWS/Azure.
Data Scientist (AI & Machine Learning)
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Data Scientist - AI,ML
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
AI Software Engineer
Build and deploy AI-powered systems using Python, TensorFlow/PyTorch, Docker/Kubernetes, and cloud services; integrate models via REST/gRPC APIs and monitor performance in production.
Data Engineer (3 Year Contract)
Design and build cloud-native data platforms, ETL pipelines, and Data Lakehouse architectures using Python, Spark, Kafka, and AWS services to power enterprise analytics and AI initiatives.
Data Science and AI Engineer
Design and deploy ML, GenAI, and predictive models using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experiences.
Chanel Data Science and AI Engineer, SEAA
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.