Senior Data Engineer

Confluence Technologies

$100K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Solid Python experience in a data engineering environment
  • Advanced SQL skills with hands-on experience using Snowflake
  • Experience designing and operating production-grade ETL pipelines at scale
  • Exposure to cloud platforms like AWS, Azure, or GCP
  • Ability to take ownership from design to deployment and monitoring
  • Experience with financial or regulated data environments
  • Familiarity with orchestration tools such as Airflow or AWS Step Functions

Responsibilities

  • Design and implement scalable data solutions
  • Build and maintain reliable, high-quality data pipelines
  • Collaborate with cross-functional teams to address data challenges
  • Contribute to technical discussions around architecture and standards
  • Mentor junior engineers and share knowledge
  • Own projects from conception through completion
  • Ensure clean and maintainable code practices are followed

Benefits

  • Generous Time Off packages including additional half days with each public holiday
  • Global career development opportunities
  • Social events for team bonding
  • Referral bonus scheme up to $3,000 for successful referrals
  • Flexible working options available
Full Job Description
Senior Data Engineer

Department: Development - Software Development

Employment Type: Permanent - Full Time

Location: Toronto

Reporting To: Andrew Rawnsley

Description

Location - Pittsburgh, Boston, Toronto or Montreal

More about the role & team

We're looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you'll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.

You'll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.

  • Work on meaningful data challenges that have real business impact
  • Collaborate with a supportive and knowledgeable team
  • Opportunity to influence architecture and engineering standards
  • Grow your leadership skills through mentoring and project ownership


What skills and experience do I need to succeed?
  • Solid Python experience in a data engineering environment
  • Advanced SQL skills and hands-on experience with Snowflake
  • Experience designing and running production-grade ETL pipelines at scale
  • Exposure to cloud platforms such as AWS, Azure, or GCP
  • Ability to take ownership of work end-to-end, from design through to deployment and monitoring
  • Experience working with financial or regulated data environments
  • Familiarity with orchestration tools such as Airflow or AWS Step Functions
  • Exposure to streaming or near real-time data pipelines


What do we offer?

Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:

🕚 Generous Time Off packages including additional half days with each public holiday in your location.

🌎 Global Career Development opportunities

🎊 Social Events

💵 Referral Bonus scheme - Upto $3,000 per successful referral

Plus many more!

More about the Location

We offer flexible working options for all employees.

#LI-Hybrid

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