Jobs in Pitt Meadows, BC and nearby

Jobs within 25 km of Pitt Meadows, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

15,365 listings · 3,574 employers Counted Oct 25, 2026. How we count

About these jobs

Employers hiring include Fraser Health (793 listings), Health Match BC (790 listings), Fraser Health Authority (473 listings).

Common roles: Family physician, Registered nurse, Retail sales associate.

4,286 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	36.00	3,277
CAD / year	78,000.00	775
USD / hour	20.00	98
USD / year	82,000.00	49

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 10% hybrid, 89% on-site, 1% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Pitt Meadows, BC and nearby

Within 25 km

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Added 3 days ago
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Added 3 days ago
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Pattison Food Group

Senior Data Engineer - Data Governance & DataOps

Langley (District), BC, Canada
Langley Office - Langley BC, Canada

$108,405.00 - $135,506.00 · Full-time

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Job details

Pay: $108,405.00 - $135,506.00
Job type: Full-time
Posting language: English
Posted: Oct 21, 2026

Original job description

Come join Pattison Food Group Ltd., a Jim Pattison business, and Canada’s largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work® and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Senior Data Engineer – Data Governance & DataOps to join our IT team in Langley, BC.

Reporting to the Director, Enterprise Architecture, you’ll be the technical lead responsible for designing, implementing, and operationalizing enterprise-wide data quality measurement and monitoring. This role sits at the intersection of data engineering, governance, and analytics, with hands on ownership of frameworks, pipelines, and standards across Databricks, Delta Lake, Power BI, and Informatica.

In this role you will work closely with a Business Analyst, Product Owner, and rotating Business Data Stewards to define data quality expectations, build reusable frameworks, and surface trustworthy insights for business partners. If you enjoy improving reliability, reducing chaos, and building scalable solutions that move business outcomes.

You will be responsible for:

Designing and implementing an end-to-end data quality framework across enterprise data sources, including rules, measures, monitoring, and automated detection.
Building reusable data quality results models, Power BI dashboards, and scorecards that clearly surface issues to business teams and drive measurable improvements.
Establishing and evolving standards for rules as code, data observability, data contracts, and governance automation.
Performing targeted data analysis to identify data quality issues, quantify business impact, and recommend actionable fixes that improve reliability and operational outcomes.
Leading the architecture and development of scalable data pipelines using Databricks, Delta Lake, and modern lakehouse patterns.
Partnering with cross functional engineering and business teams to ensure solutions are robust, performant, and aligned with data domain needs.
Mentoring junior technical team members and contributing to define best practices for CI/CD, version control, testing, and code quality.

You have:

An undergraduate or master’s degree in computer science/engineering, or an equivalent combination of education and experience, preferably in a large and complex retail organization.
7+ years of data engineering or analytics engineering with recent experience using modern lakehouse technologies (Databricks/Delta preferred).
Strong SQL and Python; hands on experience with Spark (PySpark) and Databricks Jobs/Workflows.
Experience with metadata and governance platforms such as Microsoft Purview or Unity Catalog.
Proven experience with data modeling, performance tuning, and reusable pipeline frameworks.
Experience implementing data quality as code (e.g., Great Expectations, Databricks Expectations, Deequ, or similar testing frameworks).
Experience with semantic models and BI layer design (Power BI strongly preferred).
Strong engineering fundamentals: version control, CI/CD, automated testing, release management.
You have a clear, concise communication style and can translate complex data and engineering concepts into simple, business‑relevant language for non‑technical stakeholders.
Background in retail/grocery or other high volume transactional domains (considered an asset).
Experience establishing enterprise data domains and data products (considered an asset).
Orchestration experience with tools such as Databricks Workflows, Airflow, Informatica, and ADF/Fabric Data Factory(considered an asset).

You are:

Able to translate business needs into technical architecture capabilities.
Able to quickly comprehend the functions and capabilities of new technologies.
A curious learner who stays informed on emerging technologies and is motivated by long-term results and achieving targeted business outcomes.
A proactive relationship builder who creates partnerships and maintains a high level of trust with stakeholders to drive outcomes.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you’re looking to join a team that puts people first, you’re in the right place. Apply online today!

IND6

Compensation Details:

$108,405.00 - $135,506.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

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More about this job

Responsibilities

Lead the design and implementation of enterprise data quality frameworks, monitoring, reusable results models, dashboards, and governance standards. Architect scalable Databricks and Delta Lake pipelines, partner with business and engineering teams to improve data reliability, and mentor junior team members on engineering best practices.

Requirements

Requires a bachelor's or master's degree in computer science or engineering, or equivalent education and experience, and 7+ years in data or analytics engineering. Candidates should have strong SQL, Python, Spark, and Databricks experience, along with expertise in data quality frameworks, governance, data modeling, BI, and engineering practices such as CI/CD and automated testing.

Skills

Data Engineering
Data Governance
Data Quality
DataOps
SQL
Python
Apache Spark
PySpark
Databricks
Delta Lake
Power BI
Informatica
Microsoft Purview
Unity Catalog
Data Modeling
CI/CD

Benefits

Competitive Salary
Company Pension Plan
Free Parking
Exclusive Team Member Offers
Development Opportunities
Career Progression

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Governance
DataOps
Data Quality Frameworks
Data Observability
Data Contracts
Rules As Code
Databricks
Delta Lake
Lakehouse Architecture
Apache Spark
PySpark
SQL
Python
Power BI
Informatica
Microsoft Purview
Unity Catalog
Data Modeling
Performance Tuning
Reusable Pipeline Frameworks
Great Expectations
Databricks Expectations
Deequ
Semantic Models
CI/CD
Version Control
Automated Testing
Databricks Workflows
Airflow

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