GenAI Data Engineer

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure. You will collaborate with data scientists and analysts to ensure efficient data flow and support data-driven decision making.

The role requires expertise in Dataiku and experience with Snowflake and GCP. You will need to design robust data pipelines and integrate AI tools to transform unstructured data into structured insights.

• Career Development Opportunities

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Dataiku
• Data Pipelines
• Data Integration
• Cloud-Native ETL
• BigQuery
• Cloud Storage
• Dataflow
• SQL
• Python
• Machine Learning
• AI
• NLP
• OCR
• Document AI
• Snowflake

• Data & Analytics
• Technology
• Consulting
• Software

Minimum experience

5+ years

Apply by

Nov 10, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Mid-Senior level

Application method

Direct apply is available