DE

Data Elephant

Verified Job Source

A more human approach to modern Data, Analytics & AI services.

Vancouver, BC

Data Infrastructure and Analytics
11–50 people

About

Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm. Our founders bring technology services experience from boutique and global consulting firms resulting in a unique engagement model and value proposition for our clients. Our approach is to bring the deep technical expertise, flexibility, and drive to prove value quickly of a boutique firm, and combine it with the strategic thinking, proven methodology, and cross-industry experience of a global firm. Our goal is to be our client's go-to Canadian partner for driving value and impact across the whole data stack.

Open positions

Oracle Data Analyst

Remote · Calgary, Alberta, Canada

The role focuses on analyzing and resolving millions of data discrepancies between a legacy Oracle application and its modernized replacement. Responsibilities include performing root-cause analysis, reviewing PL/SQL logic, and documenting business rules to ensure data accuracy.

Oracle Data Analyst

Remote · Calgary, Alberta, Canada

The role involves reconciling large datasets between legacy and new Oracle databases to resolve millions of data discrepancies. You will perform root-cause analysis, review SQL/PL/SQL logic, and collaborate with stakeholders to implement data remediation strategies.

Databricks Engineer - Contract

Remote · Canada

Design, build, and optimize modern data platforms on Azure Databricks, focusing on ETL pipelines and workload migrations. Implement governance models using Unity Catalog and collaborate with clients to scale their data workloads.

Databricks Engineer (Contract)

On-site · Calgary

Design, build, and optimize modern data platforms on Azure Databricks while migrating legacy workloads. Collaborate with client stakeholders to implement data governance, security frameworks, and reusable engineering accelerators.

Senior Power BI Developer

Remote · Canada

Lead the development of scalable Power BI semantic models and complex dashboards while establishing technical best practices. Act as a bridge between business intelligence and data engineering to ensure reporting requirements are translated into robust data solutions.

Senior Databricks Engineer

Remote · ["Calgary, Alberta, Canada"]

About Us We're a boutique Data, Analytics & AI consulting firm based in Vancouver, BC, helping Canadian organizations develop data strategies, modernize their data platforms and unlock the power of data, analytics, ML and GenAI. As a certified partner with leading cloud platforms, including AWS, Azure and Databricks, we deliver strategic solutions that create real business impact. Our team thrives on solving complex challenges, working closely with clients, and staying at the forefront of emerging technologies. About the Role We are seeking a Senior Databricks Engineer to join our growing te…

Sales Executive

On-site

Data Elephant is a Canadian data, analytics, and AI consulting firm helping organizations modernize their data platforms, unlock business value from analytics, and accelerate AI adoption. We partner with leading technology providers including AWS, Databricks, and Microsoft to deliver practical, outcome-focused solutions for organizations across Canada. Our team combines deep technical expertise with strategic business consulting to help clients build modern data foundations, develop AI roadmaps, and implement scalable analytics solutions that drive measurable business impact. As we continue…

Business Analyst

Remote · Calgary, Alberta, Canada

Lead discovery workshops and stakeholder interviews to translate complex business needs into actionable requirements for data and AI solutions. Document current and future state business processes while defining KPIs and supporting data platform modernization initiatives.

Senior DBX AI/ML Engineer

Remote · Calgary, Alberta, Canada

Design, build, and deploy end-to-end AI/ML solutions in production environments while developing robust backend systems and APIs. Maintain data pipelines, operationalize machine learning models, and collaborate with clients to translate business problems into technical solutions.