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GCP Data Engineer - Data Modelling
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
Senior Data Engineer - 12 month FTC
Senior Data Engineer builds and maintains ETL/ELT pipelines and MLOps workflows on a modern data/AI platform to create reusable, single-source datasets for AI/ML use cases in a large telco.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
GCP Data Engineer (Google)
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
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: Property Data & APIs Mentor
Designs and builds property data pipelines and APIs, mentors teammates, and improves data governance using Airflow, BigQuery, TypeScript/Node.js, and Python.
Financial Analytics Data Engineer | ELT Pipelines & Airflow
Builds and maintains ELT pipelines and Airflow workflows for a multi-jurisdiction financial data platform, ensuring data quality and automating reporting delivery.
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.
Senior Data & AI Engineer: Build Production ML in the Cloud
Senior AI & Data Engineer designs scalable AI solutions and builds cloud-based data pipelines using AWS/Azure/Snowflake/dbt/Airflow to deploy production-grade ML models.
Senior Data Engineer, Core Banking Migrations
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
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.
Senior Data Engineer: Property Data & APIs | Hybrid
Designs, builds, and operates scalable data pipelines, models, and APIs to power property data solutions for internal and external users using modern cloud stack.
Staff Machine Learning Engineer
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Position: Senior Data Engineer New
Build and maintain property data pipelines, models, and APIs using BigQuery, Airflow, Kafka, and TypeScript/Python to power REA’s Prime platform and external data solutions.
Machine Learning Engineer
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
Chief Data Engineer
Lead a team of data engineers to build and maintain AI-ready data platforms, writing production-grade Python/SQL code and coaching teams on data science principles.
Machine Learning Engineer - AI Team
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Principal Data Engineer
Lead data architecture and engineering for REA’s property platforms, designing scalable ETL/ELT workflows and cloud data warehouses to power analytics and user experiences.