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MOO is all about making great design available to everyone. We do that by producing premium print and branded merchandise. But it’s as much about how we do it, leading with design, technology and sustainability.…
Senior technical role overseeing WestJet's enterprise data platforms (Power BI, Fabric, Snowflake, Tableau, Alteryx, Dagster, Azure), focusing on capacity management, governance, optimization, and enablement through a Center of Excellence.
Builds and maintains scalable ETL/ELT pipelines to transform raw data into actionable insights for analytics and business teams, focusing on SQL optimization, data quality, and cloud-based data infrastructure.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a performance-marketing agency, ensuring reliability, cost-efficiency, and integration with AI tools like LLMs.
About Elemynt ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance…
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Build and maintain Samsara’s petabyte-scale data lake and distributed compute platform, designing ingestion pipelines, lakehouse infrastructure, and internal tooling to power analytics and AI across the company.
Atmoz is seeking a Staff Software Engineer to build an agentic carbon accounting platform using Go, Python, and AI-assisted development tools. The role involves end-to-end product ownership, from backend architecture and calculation logic to shipping features in a hybrid, Stockholm-based environment.
As a Senior Data Engineer, you will design and build modern Snowflake data platforms, develop efficient data pipelines, and consult with clients on cloud-native data architectures. You will work with technologies like Airflow, dbt, and Infrastructure as Code to deliver scalable data solutions.
Data Engineer consultant designing and implementing cloud-based data integration projects using Python, SQL, Spark, Snowflake, dbt, Airflow, and Databricks for clients in a hybrid Quebec office role.
Designs and builds data models, pipelines, and analytics foundations for Relay’s Last Mile logistics AI systems, ensuring real-time operational decisions and strategic insights while collaborating with cross-functional teams.
Senior Analytics Engineer designing, building, and scaling the PlayStation Partners Platform analytics layer using dbt, advanced SQL, cloud data warehouses, and BI tools to deliver trusted, well-governed data products.
The Data Analytics Engineer will build and maintain data pipelines and visualisations using Python, SQL, AWS, and Thoughtspot to support business decision-making at easyJet holidays. This role involves collaborating with stakeholders to develop data products and mentoring team members within a hybrid work environment.
The Data Engineer will design and maintain production-grade data pipelines and reporting systems using GCP, BigQuery, and Tableau to support middle and back-office operations. The role involves collaborating with cross-functional teams to build robust data models and infrastructure within an algorithmic insurance environment.
Job Description Build the future with us Data Science Team Overview The Data Science function within iA Global Asset Management (iAGAM) is a key driver of strategic transformation across Investments, contributing to…
Build and maintain analytical data products and ETL/ELT pipelines supporting investment workflows using Python, dbt, BigQuery, and Power BI on Google Cloud Platform.
Design and implement enterprise data platforms spanning ingestion, storage, transformation, and serving, with hands-on data engineering, governance (PDPA), and pipeline development to support analytics and AI/ML workloads.
Data Engineer designing and industrializing robust data pipelines and modern cloud data platforms (lakehouse, Snowflake, BigQuery, Databricks) to feed AI/agent systems and BI dashboards, using SQL, Python, Spark, Airflow, dbt, and vector databases.
The Data Engineer at Keyrus designs and industrializes robust data pipelines and modern data platforms to support AI systems and analytics. The role involves preparing data for generative AI, ensuring data quality, and collaborating with AI engineers to build scalable, production-ready data solutions.
The Snowflake Architect will design and implement scalable cloud data solutions while providing consulting services to clients. The role requires expertise in the Snowflake ecosystem, including AI/ML capabilities like Cortex, alongside data engineering tools such as dbt, Azure, and Python.
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