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Senior Data Engineer builds and maintains data pipelines and models in AWS/Snowflake to power analytics and AI use cases for a large Canadian insurer.
Senior data engineer builds and maintains scalable data pipelines using Snowflake, DBT, Glue, and Python to deliver analytics and reporting solutions for enterprise clients.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
Build production-grade AI agents and retrieval systems using Microsoft Foundry, Azure AI Search, and MCP for enterprise clients in the Middle East and Africa.
Builds and maintains ETL/ELT pipelines in Snowflake, cleans and models data, and writes SQL and Python code to transform raw information into analytics-ready datasets.
Builds internal Streamlit libraries and maintains BI dashboards using Python, while collaborating on data pipelines with dbt and cloud/AI integrations.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Build and maintain data pipelines, ETL processes, and cloud-based data platforms to transform raw data into clean, business-ready datasets for analytics and reporting.
Design and build enterprise-scale data platforms using SQL, Python, Snowflake, and dbt to power analytics, AI-enabled apps, and secure data products for a global cybersecurity leader.
Build and maintain Snowflake data warehouses, automate pipelines with Python, and support AI/ML projects for a global consultancy using AWS and Streamlit.
Build and maintain scalable Python services and high-performance SQL on Snowflake/Databricks, designing secure, observable data applications with Streamlit and modern data architecture.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and reporting, using SQL, Snowpark, and Airflow.
Builds and refines user-facing interfaces and backend services for Neo4j’s graph analytics cloud platform, focusing on React-based UIs, TypeScript, and Go/Java/Python APIs.
Build a new enterprise data platform using Data Vault, DBT Core, Snowflake, Python and Streamlit for a climate-focused product company.
Build and maintain Snowflake-based data pipelines and analytics for scientific clients in mining, energy, agriculture, healthcare and infrastructure.
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