Jobs Companies Save-On-Foods Senior Data Engineer - Data Governance & DataOps

Über diese Senior Data Engineer - Data Governance & DataOps Stelle bei Save-On-Foods

Save-On-Foods · Vor Ort · Langley Office - Langley BC

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, businessrelevant language for nontechnical 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.

Bereit, sich bei Save-On-Foods zu bewerben?
Bei Save-On-Foods bewerben

Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $121,956/yrunter der üblichen Spanne für Data Engineer Stellen.

$101,102 dem Median $160,950 $242,504

Übliche Spanne $127,488–$195,000/yr, aus 1,711 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über Save-On-Foods

As a community-focused retailer, we offer great career opportunities in a fast-paced, exciting environment, while providing ongoing training to invest in our team members so they can develop and achieve their goals. If you are a positive, customer-focused individual, we would love to hear from you.

Alle Jobs bei Save-On-Foods ansehen →

Ähnliche Jobs

NO
Scientific Computing Engineer - Drug Product Process Modeling & Data Science
Novartis
⚡ Früh bewerben Hyderabad (Office) Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Min.
XTM International
Forward Deployed AI & Data (FDAID) Engineer
XTM International
⚡ Früh bewerben Athens, Attica, Greece Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Euromonitor
Associate Data Engineer/Data Engineer
Euromonitor
⚡ Früh bewerben Vilnius, Vilnius City Municipa... Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Mercari, inc.
Product Engineer, Backend (Product Data) - Mercari
Mercari, inc.
⚡ Früh bewerben Minato, Japan Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Xero
Senior Data Engineer - Modelling
Xero
⚡ Früh bewerben AU: Melbourne: (260 Burwood Rd... Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Technimove
Data Centre Field Engineer
Technimove
⚡ Früh bewerben Croydon Office Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Lavendo
Forward Deployed Engineer, AI Training Data (San Mateo, CA)
Lavendo
⚡ Früh bewerben San Mateo Hybrid $230,000–$300,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
42dot
Machine Learning & Data Engineer, Vehicle Modeling
42dot
⚡ Früh bewerben Sunnyvale, United States Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.
Sfeir
Lead Data Engineer GCP
Sfeir
⚡ Früh bewerben Paris Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 1 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Save-On-Foods

Alle Jobs bei Save-On-Foods ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos