
11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Data Elephant is a Vancouver-based data and analytics consultancy founded in 2022 that helps organizations modernize data infrastructure and platforms to enable self-service reporting, advanced analytics, AI, and machine learning. They offer end-to-end services including data strategy, cloud migration, data engineering (warehouses, lakes, lakehouses), governance, BI, MLOps, and GenAI proof-of-concept and training, partnering with cloud and analytics providers like AWS, Databricks, and Microsoft. Data Elephant serves enterprise clients across industries (energy, mining, finance, transportation, retail, sports, public sector) and positions itself as a trusted advisor delivering measurable business outcomes through collaboration and long-term partnerships.
🔥 12 hours ago
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11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Data Elephant is a Vancouver-based data and analytics consultancy founded in 2022 that helps organizations modernize data infrastructure and platforms to enable self-service reporting, advanced analytics, AI, and machine learning. They offer end-to-end services including data strategy, cloud migration, data engineering (warehouses, lakes, lakehouses), governance, BI, MLOps, and GenAI proof-of-concept and training, partnering with cloud and analytics providers like AWS, Databricks, and Microsoft. Data Elephant serves enterprise clients across industries (energy, mining, finance, transportation, retail, sports, public sector) and positions itself as a trusted advisor delivering measurable business outcomes through collaboration and long-term partnerships.
• Design and build an executive-ready application on Databricks Apps • Translate stakeholder needs into a working product • Build BI-style visualizations and reporting components for an executive audience • Contribute product thinking to a prioritized use case backlog • Help scope future implementation phases • Participate in client workshops and weekly status reviews • Communicate technical progress to technical and non-technical stakeholders • Apply AI/ML capabilities where relevant to enhance the application
• 4+ years of software engineering experience, with some exposure to data engineering or data products • Experience in full-stack development including APIs, CI/CD, and front-end tools such as React, NextJS or Typescript • Experience building internal tools, dashboards, or applications on top of data platforms • Databricks Apps experience is a strong plus • Experience with low-code/no-code app frameworks such as Retool, Streamlit, or Power Apps is valuable • Comfort working with BI tools; Power BI preferred • Familiarity with AI/ML concepts and applying them in applied, product-oriented contexts • Strong communication skills for a client-facing consulting role • Applicants must be based in Canada • Experience in energy, mining, or other industrial/resource sectors is a bonus
• Remote work in Canada
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