Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms, and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting for all levels of IT positions for our clients.

We are currently seeking competent individuals to fulfill the role of Data Engineer to join our dynamic team for our client, one of t he major banks

Location Address: 2 days/week – Hybrid.

Contract Duration: 7 months

Possibility of extension beyond 12 months & no possibility of conversion to FTE

Typical Day in Role:

Support operational excellence through monitoring, incident management, and continuous process improvement

Own user requests and data inquiries while actively experimenting, learning, and driving continuous improvement in day-to-day operations .

Proactively identify gaps and implement scalable improvements, including new analytical patterns and automation to optimize workflows

Support analysts and data scientists with reliable, timely, and accessible data, while using AI/agent-based solutions to automate and optimize time-consuming processes

Partner with business teams to understand data needs and deliver actionable insights to management and stakeholders





Build and maintain scalable data models and ETL/ELT pipelines

Maintain data quality through automated testing, monitoring, and proactive issue resolution

Apply data governance, security, and documentation standards across pipelines and architecture

Candidate Requirements/Must Have Skills:

5-7 years of experience in SQL (advanced to expert level)

3-4 years of experience with workflow orchestration tools such as Apache Airflow

3-4 years of experience working with Python for pipeline development.

3-4 years of experience with cloud platforms (GCP, AWS, or Azure).

Experience with up-to-date data stack tools (including dbt)

Nice-To-Have Skills:

Solid understanding of data warehousing concepts and dimensional modeling

Knowledge of the banking/finance domain and data governance practices is an asset

Soft skills:

Strong analytical and decision-making abilities.

Excellent communication and interpersonal skills A high-performing, detail-oriented, and proactive mindset with strong ownership in handling user requests and troubleshooting issues, and driving continuous improvement initiatives

Education

Bachelor’s or Graduate degree in Computer Science, Engineering, or related field (or equivalent experience)

📌 Data Engineer (Toronto)
🏢 Dawn InfoTek
📍 Toronto