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Senior Data Engineer, Core Banking Migrations
Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Senior Data Engineer
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Senior Data Engineer
Builds and optimizes enterprise-scale data pipelines and platforms for a fintech company, specializing in Hadoop/Spark ecosystems to ingest, transform, and distribute data across distributed systems like Teradata and RDBMS.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML, collaborating with data scientists and BI teams.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Azure Synapse, Databricks, and PySpark to power analytics and ML workloads.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Azure Data Lake, Synapse, and Databricks to power analytics and real-time insights for enterprise clients.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Data Engineer
Build and lead Snowflake-based data pipelines and analytics solutions for clients, mentoring teams and enabling AI-driven applications in a hybrid consultancy role.
Data Engineer
Designs and builds end-to-end data pipelines and cloud data lakes for a Big 4 bank, using Python, Spark and Azure to create reusable data assets and support analytics.
Analytics Engineer
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
Data Platform Technical Lead
Lead the modernization of a large organization’s data platform, migrating legacy systems to cloud-based analytics using Databricks, Spark, and Delta Lake while overseeing delivery teams and governance.
AI Data Engineer: Build AI-Ready Pipelines & RAG Systems
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Senior Data Engineer - Databricks on Azure | Hybrid Role
Designs and optimizes Databricks Lakehouse and Azure-based data pipelines using Delta Lake, Spark, and Fabric, with Python/SQL and CI/CD practices.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Data Engineer (DataX)
Build and maintain robust data pipelines and curated datasets for Westpac’s Economics and DataX teams, enabling AI-driven research and insights using Spark, Azure, and Databricks.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
AI Data Engineer
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Senior Data Engineer
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.