Senior Data Engineer

Who Can Apply

Candidates must be legally authorized to work in Canada

Job Description

Insight Global is on the lookout for a seasoned Senior Data Engineer to join the data organization of one of Canadas largest insurance companies.

This pivotal role involves providing hands-on engineering leadership, focusing on the design and construction of data products and platforms that manage and store extensive datasets.

Note : This role is fully remote across Canada, but requires work to be done in EST.

Key Responsibilities :

• Lead the design and development of resilient data products and platforms.
• Ensure data products are secure, accessible, and compliant with governance policies.
• Implement robust security measures to protect sensitive information.
• Upskill team members in data tools and technologies.
• Oversee the implementation of new data tools.
• Take end-to-end ownership of building, deploying, and maintaining data products.

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 .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy : .

Required Skills & Experience

• 5+ years of experience as Senior / Lead Data Engineer with a focus on Azure and Databricks
• 5+ years of experience in coding with terraform, python and pyspark
• 3+ years of experience designing and implementing scalable data solutions in Azure
• Hands-on experience with Azure PaaS : Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, APIM, Azure Key Vault, Azure SQL
• Understanding of the backup, disaster recovery, and data recovery strategy and execution with the above services
• Experience with Azure infrastructure such as cloud security and networking and experience in implementing best practices

Nice to Have Skills & Experience

• Experience in building a 360 view of a customer
• Good to have knowledge / experience with Microsoft Fabric (SaaS) and Gen AI-related technology including Azure ML, Azure OpenAI
• Experience with Purview
• Financial or insurance industry experience

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.

Employees in this role are also entitled to paid sick leave and / or other paid time off as provided by applicable law.