
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Build and maintain ingestion and orchestration pipelines using Fabric Data Factory and Azure Data Factory • Integrate databases, APIs, files, and enterprise applications • Develop ETL/ELT transformations using SQL, Python, PySpark, Fabric notebooks, and Dataflow Gen2 • Implement OneLake, Lakehouse, Warehouse, and Delta Lake solutions using medallion architecture where appropriate • Develop full and incremental load patterns, change data capture, parameterized pipelines, and reusable ingestion frameworks • Build dimensional models and curated datasets with analysts and business stakeholders • Implement business rules, historical tracking, and source-to-target mappings • Implement data quality checks, automated tests, reconciliation, and validation • Handle schema changes, duplicate records, missing values, and late-arriving data • Improve pipeline reliability through logging, monitoring, alerts, retries, dependency management, and safe reruns • Troubleshoot failures and document operational runbooks • Use Git and CI/CD to promote changes across environments • Optimize SQL, Spark, and pipeline performance • Implement agreed access controls • Participate in code reviews and mentoring • Work closely with architects, analysts, and clients from source analysis and development through testing, deployment, and production support
• Strong experience building and operating production data pipelines, owning complex engineering work through deployment and support • Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse or Warehouse, Fabric Data Factory pipelines, and notebooks • Strong SQL, Python, and PySpark skills • Practical experience processing data in Apache Spark and Delta Lake • Azure experience with Azure Data Factory, ADLS Gen2, and Azure SQL • Experience integrating Azure services with Fabric • Understanding of ETL/ELT, orchestration, incremental processing, data modeling, and structured and semi-structured data • Experience with Git, deployment automation, testing, data quality, monitoring, and performance tuning in production environments • Ability to work directly with clients to clarify requirements, explain issues, and manage dependencies • Ability to work independently and collaborate across delivery teams • Dataflow Gen2 and Power Query experience valued • OneLake shortcuts or mirroring experience valued • Power BI semantic model integration experience valued • Azure Databricks, Azure Synapse, Microsoft Purview, or ERP and SaaS integration experience valued • Streaming workloads, Fabric Real-Time Intelligence, KQL, or Eventstreams experience valued • Microsoft Certified Fabric Data Engineer Associate or other relevant Azure or Microsoft data certifications valued
• Opportunities to take ownership and deepen expertise • Learning alongside experienced colleagues • Opportunities to contribute to how the company delivers • Opportunities to help shape a growing consulting practice • Direct client work on meaningful challenges
Apply Now🔥 8 hours ago
Data Migration Consultant managing CRM data imports, validation, and onboarding for Neon One, a nonprofit software company. Coordinating clients, engineers, and cross-functional teams.
🕒 Yesterday
Senior Software Engineer owning Azure production systems and data/ML infrastructure. Powering GoMaterials’ B2B marketplace that simplifies landscaping material procurement.
🕒 6 days ago
Software engineer building scalable data services and ETL pipelines for TRM’s blockchain intelligence platform. Designing high-availability infrastructure that helps agencies investigate and disrupt crime.
🕒 6 days ago
Senior Data Engineer building scalable data models and pipelines for Ground News, a news-comparison platform. Supporting trusted KPIs, experimentation, and self-service analytics.
🕒 6 days ago
Senior Data Engineer building Dandy’s data infrastructure for its technology-powered dental operating system. Developing pipelines, governed data products, and AI-ready platform capabilities.