Sr. Data Engineer

Peoples Trust; Toronto; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

A leading financial institution is seeking a Senior Data Engineer in Toronto. The successful candidate will design exceptional data solutions in a hybrid work environment, collaborate on complex data projects, and uphold high standards of data quality and security. Join a company that values creativity and inclusivity in the workplace.

Benefits

Flexible work environment

Inclusive workplace culture

Qualifications

• 7+ years in Data Engineering, with a focus on building data workflows.
• Expertise in relational and non-relational databases.
• 3+ years with cloud-native infrastructure (AWS, Azure, GCP) preferred.

Responsibilities

• Design and support data systems with relational and non-relational models.
• Participate in agile ceremonies and solution design.
• Conduct code and security reviews to ensure best practices.

Skills

Data Engineering

Cloud-Native Infrastructure

Python

Data Warehousing

ETL

Security Best Practices

Education

Bachelor’s or master’s degree in computer science, Engineering, or related field

Tools

PostgreSQL

MySQL

Redis

MongoDB

Airflow

Terraform

PowerBI

Tableau

Job description

Peoples Group is a boutique Financial Institution with offices located in Vancouver, Calgary, Toronto and Montreal that has been in the Canadian marketplace for over 30 years. Our mission is to exceed our customers' expectations by providing exceptional customer service backed by extensive product knowledge and experience. Our culture here at Peoples Group is formed by our values; Strength-Based, Relationship Focused and Passionate Execution. We believe people don't choose a company to work for, they choose a company to join. We also believe that people come first and each day we strive to be willing, trustworthy and creative.

About the work environment :

Peoples Group offers a flexible and hybrid work environment. In this role you will work a combination of in-office and remotely from home. Typically, you'll be working regular business hours, Monday to Friday between 8 : 00am and 4 : 30pm with flexibility around start / end times.We are hiring for this position out of our Toronto offices. Successful candidates who apply outside of this area will be expected to relocate and reside in location that is within a commutable distance.

About you :

You are an experienced data engineer, passionate about designing best in class data solutions for the projects you work on. With your experience and expertise, you strive for high standards of quality when building data engineering workflows and their supporting infrastructure in a cloud-native environment.

About the Qualifications :

• 7+ years of experience working in the Data Engineering space.
• Proficiency data engineering concepts, such as data warehouses, ETLs, etc.
• Expert knowledge with Relational databases (PostgreSQL, MySQL, etc.)In-memory databases (Redis, etc.)Non-relational databases (MongoDB, etc.).
• Mastery in Python, Spark, DBT, Orchestration tools (Airflow, Dagster), Data visualization tools (PowerBI,Tableau, etc.), Data processing solutions (Talend, Monarch).
• 3+ years of hands-on development and designing experience building an enterprise data warehouse or data mesh.
• 3+ years of experience working in Cloud-Native infrastructure, AWS, Azure or GCP (AWS certification an asset).
• Experienced leveraging cloud native tools, such as object-storage, serverless processes, RDBMS, data processing platforms andcollaborating with security teams to build cloud-based data systems that are secure by design.
• Strong understanding of IT security best practices and data protection regulations.
• 2+ years of experience working defining standards and guidelines around development (design, implementation) and tools (Jenkins, GitHub Action CI, CircleCI, etc.).
• Experience automating integration and deployment processesand analyzing and fixing issues in systems that are cloud-based.
• Experiencedeveloping infrastructure as code (Terraform, Ansible) an asset.
• Expert knowledge of Logging, monitoring & alerting tools (CloudWatch, DataDog, etc.)
• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

About the day-to-day :

• Conceptualize, design, build and support data systems withRelational and non-relation data models, Data structuring and queriability (indexing, partitioning, etc.)
• Responsible for Readiness for data streaming application consumption, Scalability, reliability, and fault tolerance.
• Support data development lifecycle by participating in agile ceremonies, including planning, grooming, retrospective and daily stand ups, and participate in solution design for project.
• Solve technical challenges with the teams, whether it’s a challenging new feature, or solving an issue integrating a new technology, you’re hands on and able to work with the team to solve technical issues.
• Code review, security review and ensure best practices are followed (unit tests, code formatting, logic and flows, documentation, etc.).

NOTE : This job posting is for an existing vacancy. Peoples Group is an Equal Employment Opportunity employer. Please accept our utmost appreciation for your interest; however, only those applicants under consideration will be contacted.

We value and celebrate individuality while fostering an inclusive workplace for everyone. If there's any way we can support or accommodate you during the selection process, please don't hesitate to let us know.

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Sr Data Engineer • Toronto, Ontario, CAN