Senior Data Engineer

Talent To Hire Inc.; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading recruitment firm is looking for a Senior Data Engineer for a hybrid role in Toronto. You will design, build, and maintain data pipelines, ensuring data quality and governance. Ideal candidates have over 8 years of experience in data engineering, strong skills in SQL, Python, and cloud technologies, and prior financial services experience. This is an excellent opportunity to influence data innovation in the wealth tech space.

Qualifications

• 8+ years of data engineering experience required.
• Experience with financial services is a must.
• Strong skills in SQL, Python, and modern data stack tools.

Responsibilities

• Design, build, and maintain robust ETL / ELT data pipelines.
• Collaborate with analysts to translate needs into technical solutions.
• Recommend scalable data architectures using AWS and other tools.
• Ensure data quality, observability, and governance.
• Mentor junior engineers and promote engineering best practices.

Skills

SQL

Python

Airflow

Snowflake

AWS Glue

S3

Lambda

Terraform

Tools

CI/CD tools

Monitoring tools

Job description

Overview

SENIOR DATA ENGINEER- Toronto ( 3 days downtown / Hybrid)

Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group. We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

Responsibilities

• Design, build, and maintain robust ETL / ELT data pipelines.

• Collaborate with analysts and business teams to translate needs into technical solutions.

• Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.

• Ensure data quality, observability, and governance across systems.

• Lead or support migration projects to cloud-based platforms.

• Mentor junior engineers and promote engineering best practices.

What You’ll Bring

• 8+ years of data engineering experience.

• Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform.

• Experience with CI / CD, data lineage, and monitoring tools.

• Financial services experience is a MUST.

Screening Questions

1. How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?

2. Can you describe your experience designing, building, and maintaining ETL / ELT pipelines? Which tools and technologies did you use?

3. Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?

4. What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?

5. How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?

6. Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?

7. Describe a time when you mentored junior engineers or promoted engineering best practices within a team.

8. How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?

9. Have you worked with CI / CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?

10. Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to :

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