Senior Data Engineering Developer

JOB DESCRIPTION

Who needs insurance? Everybody. That keeps us busy. Very busy. At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

Join our team and get ready to explore, take risks, make mistakes, and learn all day, every day. We’ll support your goals with tools, opportunities, and flexibility.

It’s our employee promise.

Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions.

Ready to make your mark?

About the role

We are looking for someone with strong data engineering, analysis and technical leadership backgrounds for our teams.

Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them.

Will you join us? Here’s a sneak peak.

On a day-to-day basis, we primarily use cloud Databricks, Amazon Web Services, and Snowflake. Python is our favorite language! We are responsible for ingesting data from many difference sources, but also for the sometimes complex transformation of this data, to provide our scientists with quality data that is ready for machine learning.

In this mission, you will be supported by quality analysts, business analysts, application architects, and data architects.

We use Agile as our organizational methodology, with the support of our product owners and our scrum masters.

What you'll do here :

• With your team, you will participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines.
• Building on your experience, you will have the opportunity to participate in the implementation of industry best practices.
• Through your leadership, you will be an agent of change who will grow our data engineering practice to make our lab an industry benchmark.

What you bring to the table :

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics or any equivalent combination of training and experience.
• 6+ years experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.
• Experience in Big Data and Cloud technologies for processing large volumes of data.
• Understanding of data management, security and data classification.
• Understanding of machine learning and artificial intelligence.
• Strong proficiency in the Python programming language and the PySpark Framework.
• For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country
• No Canadian work experience required however must be eligible to work in Canada.

LI-Hybrid

What we offer

Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a permanent member of our team :

A financial rewards program that recognizes your success

An industry leading Employee Share Purchase Plan; we match 50% of net shares purchased

An extensive flex pension and benefits package, with access to virtual healthcare

Flexible work arrangements

Possibility to purchase up to 5 extra days off per year

An annual wellness account that promotes an active and healthy lifestyle

Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues

A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs

Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities

Inspiring leaders and colleagues who will lift you up and help you grow

A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique