Data Engineer

Buyerlink, Inc.; Victoria; On-site; CAD 90,000 - 120,000; Full time

Job summary

Buyerlink, Inc. is hiring a Data Engineer to design and own scalable data pipelines, cloud-native platforms, and AI-assisted workflows. You will optimize data warehouses (Snowflake, Redshift) and enable self-serve analytics with Tableau/Power BI.

The role focuses on data infrastructure, governance, and performance in a fast-moving environment. This full-time, in-person position is based in Victoria, Canada, with collaboration across stakeholders to ensure data availability, quality, and security

Qualifications

• At least four years' experience preferred.
• Knowledge of ETL techniques and data integration.
• Strong background in data modeling, data access, and storage techniques.
• Proficiency with Python, C#, R or Java in data-oriented applications.

Responsibilities

• Build and maintain data pipelines and data acquisition processes.
• Develop data integration scripts and run analytical queries for business insights.
• Maintain and test data pipelines and data quality.
• Support data cleansing, enrichment, and accessibility for analytics.

Skills

ETL techniques

Data modeling

Data warehousing

Python

C#

R

Java

Cloud platforms

BI visualization

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake Cortex

Snowflake

Redshift

Tableau

Power BI

Python

Azure

AWS

GCP

Job description

We're looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you'll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder's mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape.

This is a full-time, in-person role at our Victoria office.

What you'll do:

• Support the building of data acquisition and preparation processes
• Creating data integration scripts and executing analytical queries that transform and utilize data for business insights
• Data pipeline maintenance/testing
• Facilitate data cleansing and data enrichment
• Identify ways to improve data reliability, efficiency, and quality
• Prepare data for predictive and prescriptive modeling
• Support machine learning operations (MLOps)
• Enable searching, data visualization, and advanced analytics - including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the business
• Design, build, and maintain a semantic layer of data - a governed, business-ready data foundation that serves as the trusted source for BI, reporting, and AI data agents
• Work with stakeholders to understand needs for data structure, availability, and accessibility
• Selecting and integrating any data tools and frameworks required to provide requested capabilities
• Implement data security and protection practices
• Designing and developing databases
• Create technical documentation, such as user manuals, process flow diagrams, system architecture diagrams, etc.
• Responsible for ensuring the accuracy and quality of data

What you bring:

EXPERIENCE/TRAINING/EDUCATION:

• At least four years' experience is preferred.

COMMUNICATION SKILLS:

• Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
• Ability to write reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
• Problem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial.

REASONING ABILITY:

High Skills:

• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

MATHEMATICAL SKILLS:

High Skills:

• Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry.
• Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

SKILLS/ABILITIES:

• Knowledge of various ETL techniques and frameworks
• Strong background with data modeling, data access, and data storage techniques
• Proficiency in Application Development code like Python, C#, R or Java
• Strong background to manage the entire back-end development life cycle of a data warehouse
• Proficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those
• Knowledge of cloud infrastructure and services like Azure, AWS, or GCP
• Experience with integration of data from multiple data sources
• Being able to set up and manage ETL tools and pipelines that support these projects
• Proficiency understanding of distributed computing principles
• Proficiency in BI and data visualization tools including Tableau and Power BI
• Experience with Amazon Redshift and cloud data warehouse technologies
• Experience with Snowflake, including Snowflake Cortex for AI-powered analytics and data processing
• Experience applying AI tools and agentic development practices to data engineering workflows - including LLM-assisted pipeline development, AI-powered code generation, and autonomous agent orchestration

Compensation: $90,000-$120,000 CAD

Compensation will be determined by factors including knowledge and skills, role-specific qualifications, market location, and experience.