Senior Data Engineer

Insight Global; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading staffing firm is seeking a Senior Data Engineer in Toronto to design and maintain data solutions for B2B marketing. The role requires hands-on experience with Databricks and Python, along with strong data governance knowledge. If you're passionate about data engineering and want to drive business impact, this is an excellent opportunity.

Qualifications

• Deep hands-on experience with Databricks and data architectures.
• Strong understanding of data governance and privacy standards.
• Proficiency in Python for data pipeline development.

Responsibilities

• Build and propagate data objects for B2B marketing.
• Ingest data from SaaS platforms into Databricks.
• Develop and maintain feature stores and analytical datasets.

Skills

Databricks

Python

Apache Airflow

Data governance

Data privacy

Cloud experience (AWS preferred)

Tools

Databricks

Power BI

Tableau

Job description

Overview

Insight Global is seeking a Senior Data Engineer to design, develop, and maintain data and analytics solutions that support our large FinTech client's B2B marketing initiatives. This role is critical in building the data environment and integrations that will power advanced omnichannel marketing campaigns. As part of a small, collaborative team, you will work with large-scale datasets to unlock the value of big data for the global marketing team. The ideal candidate is a hands-on engineer with a strong background in data engineering, a passion for building scalable solutions, and a commitment to driving business impact.

Responsibilities

• Build and propagate data objects tailored for B2B marketing use cases
• Ingest data from various SaaS platforms into Databricks for reporting and AI enablement
• Design scalable ingestion architectures and move data through medallion layers
• Develop and maintain feature stores, analytical stores, and curated datasets
• Ensure compliance with data governance, security, and privacy standards
• Collaborate with marketing and tech teams to solve high-priority data challenges
• Support deployment and optimization of data applications and analytical models
• Experiment with new tools to streamline pipeline development and operations
• Establish and enforce data engineering best practices across the team

Qualifications

• Deep hands-on experience with Databricks, including building scalable data architectures using medallion architecture (bronze, silver, gold layers)
• Strong understanding of data engineering fundamentals: governance, privacy, sanitization, and scalability
• Proven ability to build and optimize custom and out-of-the-box connectors (e.g., Lakehouse Connect, Apache NiFi, Airflow)
• Proficiency in Python for data ingestion and pipeline development
• Experience with orchestration tools like Apache NiFi, Apache Airflow, and Spark
• Exposure to Unity Catalog, Delta tables, and Lakeview connectors
• Cloud experience (AWS preferred, but Azure/GCP also welcome)
• Familiarity with BI tools like Power BI or Tableau for downstream reporting

Equal Opportunity

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail].

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