Amazon warehouse Jobs in Saanich, BC

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. Life at Buyerlink: Take part in our Service Days program - where you'll be rewarded with paid time off for volunteering and making a positive impact in your community.

Join forces with our diverse Global Community and connect with team members from all over the world.

We offer a comprehensive extended health benefits package to ensure your total well-being.

We're dedicated to your professional growth and will support you every step of the way on your career path with ongoing Professional Development opportunities.

Enjoy delectable, complimentary lunches, and participate in exciting team events in-office Who we are: Buyerlink perfectly matches businesses to consumers at the moment of intent, delivering performance-based marketing across any industry.

From leading the market in new car sales to powering demand for home services nationwide, Buyerlink scales with what businesses need.

As a One Planet Group company, Buyerlink proves that business success and the betterment of humanity advance together.

Privacy: The types of Personal Information we may collect (directly from you or from Third Party-sources) and our privacy practices depend on the nature of the relationship you have with Buyerlink and the requirements of applicable law.

We endeavor to collect information only relevant for the purposes of processing.

As part of our recruitment process, certain roles at Buyerlink may include a technical or skills-based assessment administered through an approved third-party provider.

In some cases, and only with your explicit consent at the time of testing, AI-based proctoring or monitoring (such as webcam, screen activity, or behavioral signals) may be used to help maintain assessment integrity.

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