Junior Data Engineer

Mave; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A progressive tech company in Toronto is seeking a Jr. Data Engineer to work on designing data pipelines for AI agents. This entry-level role involves automating data processes and ensuring data integrity while contributing to team best practices. The ideal candidate should have some experience in data engineering or relevant projects and proficiency in Python. Mave is committed to fostering a diverse and inclusive work environment.

Qualifications

• 1-2 years of experience in data engineering, analytics engineering, or a related field.
• Proficient in Python with libraries like Pandas, NumPy.
• Familiar with SQL and relational databases such as PostgreSQL or MySQL.

Responsibilities

• Support the design and development of reliable data pipelines.
• Automate data collection, cleaning, and validation.
• Monitor data quality and integrity across systems.

Skills

Data engineering

Analytics engineering

Python

SQL

Data pipelines

ETL/ELT workflows

Cloud platforms

APIs

Detail-oriented

Problem-solving

Education

1-2 years experience or equivalent project experience

Job description

Mave’s mission is to help agents and brokers deliver exceptional client service and scale their business through automation.

We’re building the next generation of our platform: AI agents with memory - smart, persistent, and built for the real world. That’s where you come in.

As a Jr. Data Engineer at Mave, you’ll play a key role in designing and maintaining the data pipelines that power our AI agents. You’ll work alongside senior engineers and product managers to collect, clean, and organize data that fuels our models, insights, and customer experiences. This is an exciting opportunity to grow your data engineering skills in a fast-paced AI startup environment.

About You

• 1 - 2 years of experience in data engineering, analytics engineering, or a related field (or equivalent academic project experience).
• Proficient in Python (Pandas, NumPy, or similar libraries).
• Familiar with SQL and relational databases such as PostgreSQL or MySQL.
• Understanding of data pipelines, ETL/ELT workflows, and data modeling concepts.
• Exposure to cloud platforms (AWS, GCP, or Azure) and data storage tools like BigQuery or S3.
• Curious about AI technologies, LLMs, and how structured data supports intelligent systems.
• Comfortable working with APIs and integrating third-party data sources.
• Detail-oriented, collaborative, and eager to learn new tools and concepts quickly.
• Strong communicator who enjoys solving problems and improving processes.

Outcomes

• Support the design and development of reliable data pipelines to feed Mave’s AI models and analytics systems.
• Work closely with senior engineers to automate data collection, cleaning, and validation.
• Help monitor data quality and integrity across systems.
• Build and maintain internal dashboards and metrics to support product and business decisions.
• Contribute to improving documentation, reproducibility, and team data best practices.
• Continuously learn and grow — this is a role designed for skill development and mentorship.

About Us

Mave is a lean, driven team dedicated to delivering high-quality, practical products. Our product development teams create innovative solutions for our customers by leveraging cutting-edge technology and best practices. We collaborate closely with our clients, thriving on feedback and iterating on our products daily. Each team member is trusted to do their best work, and we all take ownership of the products we build.

We believe that unchecked biases disproportionately impact the most marginalized people in society- including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Mave, we don’t stand for tokenism. We stand for representation.

Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development