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Principal Data Solution Engineer
Principal Data Solution Engineer designs and delivers scalable AI and data solutions for Vodafone NZ, leading technical strategy and engineering practices to uplift team capability and accelerate outcomes.
Senior Data Engineer: Flexible Cloud Data Solutions
Senior Data Engineer builds cloud data pipelines and products for analytics using Snowflake, Python, Airflow, AWS, Git, CI/CD and automated testing to support Kiwibank’s reporting and data solutions.
Senior Data Engineer
Design and build scalable cloud data platforms on AWS, Azure, and GCP using Snowflake, Databricks, and streaming tools to deliver real-time analytics and automated decision-making for enterprise clients.
Senior Data Engineer
Design and build scalable cloud data platforms on AWS, Azure, and GCP using Snowflake, Databricks, and streaming tools to deliver real-time analytics and automated decision-making for enterprise clients.
Principal Data Platform Engineer
Lead and scale StarHub’s cloud data platform (AWS, Snowflake, SageMaker) by designing, automating, and hardening infrastructure for reliability, security, and cost efficiency to support enterprise data and AI workloads.
Data Engineer
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Data Engineer: Azure Spark Pipelines, Flexible Hours
Design and build scalable data pipelines on Azure using PySpark, SQL, Airflow, and Kafka to deliver high-quality data products for Bosch’s large-scale platform.
Data Engineer III
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Test Automation Engineer- Cloud and data platforms
Build and maintain automated test frameworks for AWS data services using Python, pytest, and boto3 to validate functionality and performance of cloud platforms like S3, Redshift, and Glue.
Engineering Manager - Data Platform
Lead a team building and running Cover Genius’s cloud data platform (BigQuery, Airflow, dbt, Dataflow) to ingest, process, and serve insurance-protection data for global e-commerce partners.
Software Engineer – Data & Analytics - Equity Derivatives and Trading
Build data pipelines, analytics tools, and automation for equity derivatives trading using Python, SQL, and cloud tools to support decision-making and trading strategies.
Software Engineer – Data & Analytics - Equity Derivatives and Trading
Build analytics tools and data pipelines for equity derivatives trading, partnering with traders and quants to automate workflows and support decision-making using Python, SQL, and cloud tools.
Senior Test Automation Engineer- Cloud & Data Platforms
Build and maintain automated test frameworks for AWS data services using Python, pytest, and boto3 to validate functionality and performance of cloud platforms.
Data - Site Reliability Engineer
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research systems.
Senior Engineer Data Science
Build and deploy ML models for lending, credit risk, and portfolio performance on Azure/AWS, turning financial data into actionable insights for MA Financial Group.
Data - Site Reliability Engineer
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research operations.
Cloud Data Platform Engineer: AWS, Kubernetes & Airflow
Build and operate Macquarie’s AWS-based data platform, deploying scalable cloud infrastructure and ETL pipelines with Kubernetes, Airflow and Terraform.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Data & Analytics Engineer
Build and maintain data pipelines, warehouses, and models for sports/entertainment clients using Python, SQL, and cloud platforms like GCP/Azure to deliver actionable insights and commercial outcomes.
Cloud Data Platform Engineer
Build and maintain a secure, scalable AWS-based data platform using Kubernetes, Airflow, and infrastructure-as-code to enable data ingestion, ETL, and analytics for internal teams.