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Senior Data Engineer
Senior Data Engineer builds and migrates a data platform to Microsoft Fabric, owning ingestion, pipelines, modeling, and Power BI semantic layers for reporting and AI use cases.
Architect, Data and AI Engineering
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Senior Data Engineer - Hybrid, DW & Cloud Analytics
Senior Data Engineer builds and optimizes ETL pipelines, tunes SQL queries, and maintains an enterprise data warehouse and cloud analytics platform for daily operations and reporting.
Machine Learning Engineer
Build and automate ML pipelines for marketing tech, collaborating with data science and marketing teams using Python, TensorFlow/PyTorch, and cloud platforms.
Data Engineer (Financial Analytics focus)
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Data Engineer: Pipeline ETL/ELT, Dati Sicuri e Cloud
Build and maintain secure, scalable ETL/ELT pipelines and cloud data infrastructure to integrate diverse sources and power analytics.
Data Engineer (On-Prem) - Daily Rate Contract
Build and maintain on-premise data pipelines and warehouses for a bank, using ETL tools, SQL, and Microsoft BI stack to deliver analytics-ready data.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Data Engineer: Build Scalable ETL Pipelines & BI
Designs and maintains scalable ETL pipelines and BI infrastructure to integrate Shopify, ERP, CRM, and logistics data for analytics and reporting.
AI & Data Architect (Enterprise AI & Data Platforms)
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
GCP Data Engineer — Streaming ETL & BigQuery Expert
Design and implement scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to build batch and streaming ETL/ELT solutions for real-time analytics in fintech.
Data Engineering Lead
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Data Engineer
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Staff Data Engineer (Data Platform & Modernisation)
Lead the design and modernization of a cloud-native data platform for a major bank, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while building scalable pipelines and ensuring regulatory compliance.
Senior Data Engineer (AWS & Snowflake)
Build cloud-native data pipelines on AWS and Snowflake to power financial crime monitoring and reporting at Australia’s largest bank.
Senior Data Lead / Data Engineer
Designs and maintains scalable data pipelines using Azure Data Factory, Databricks, and Power BI to support analytics and reporting for a logistics-focused company.
Senior Data Engineer, Business Intelligence
Design and build scalable data pipelines and BI solutions using Azure tools to power analytics across a university, turning data into dashboards and insights for smarter decisions.
Data Engineer: Renewable Energy Pipelines & ETL (Contract)
Designs and builds data pipelines to track renewable energy production and consumption for Victoria’s energy initiatives using Python, SQL, and cloud ETL tools.
AWS Data Engineer: Big Data Pipelines & Cloud Analytics
Design and build cloud-based big data pipelines and data warehouse integrations using AWS, Spark, Python, and SQL for enterprise clients.