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Data Engineer Data Analyst Jobs in British Columbia

Senior Data Analyst

Vancouver, BC ยท On-site

$60 - $70/hr

Our Vancouver client is seeking a Senior Data Analyst to join their team, must be available to work ... Data Engineering: Strong grasp of data warehousing concepts, data modeling, and experience with ETL ...

Data Analyst

Vancouver, BC

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Data Analyst utilizes their quantitative analytical skills and scientific thought process to ... Experience working for a social or mobile game developer. * Understanding of game design concepts ...

Senior Data Analyst, Compliance

Burnaby, BC ยท On-site

CA$120K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role The Sr. Data Analyst, Compliance, is a high-performing individual contributor within ... Writing the "How" for the Data Engineers. * Validation : Testing the "Truth" of the data through ...

Ledcor is hiring a Senior Data Engineer to join our Data & Analytics Platform team. In this role, you will design, build, and maintain enterprise-scale data solutions that support reporting ...

Hydraulic Data Analyst

Vancouver, BC

CA$63K - CA$95K/yr

  • Medical

  • Retirement

  • PTO

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... The Hydraulic Data Analyst (HDA) will work remotely to analyze hydraulic information which may ...

New

Hydraulic Data Analyst

Delta, BC

CA$63K - CA$95K/yr

  • Medical

  • Retirement

  • PTO

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... The Hydraulic Data Analyst (HDA) will work remotely to analyze hydraulic information which may ...

New

... analytics. You will be the authority on data physics: defining how we ingest massive bursts of ... You will set the standard for data engineering excellence, mentoring Senior engineers and defining ...

Staff Data Engineer

Vancouver, BC ยท On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

... analytics. You will be the authority on data physics: defining how we ingest massive bursts of ... You will set the standard for data engineering excellence, mentoring Senior engineers and defining ...

Data Analyst - Burnaby, BC

Burnaby, BC ยท Hybrid

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • PTO

What You'll Do The Data Analyst delivers Power BI visualizations and dashboards that tell a story ... Work with engineers to model, reshape and prepare data to optimize dashboard performance

Jr Data Analyst

Kelowna, BC ยท On-site

  • PTO

You will work closely with data scientists, engineers, and utility partners to help understand what ... Analyze lab and field data from sensor systems deployed on high-voltage infrastructure * Support ...

Jr Data Analyst

Kelowna, BC ยท On-site

  • PTO

You will work closely with data scientists, engineers, and utility partners to help understand what ... Analyze lab and field data from sensor systems deployed on high-voltage infrastructure * Support ...

Jr Data Analyst

Kelowna, BC ยท On-site +1

  • PTO

You will work closely with data scientists, engineers, and utility partners to help understand what ... Analyze lab and field data from sensor systems deployed on high-voltage infrastructure * Support ...

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Showing results 1-20

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in British Columbia? For Data Engineer Data Analyst jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in British Columbia look for? The top searched job categories for Data Engineer Data Analyst jobs in British Columbia are:
What cities in British Columbia are hiring for Data Engineer Data Analyst jobs? Cities in British Columbia with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in British Columbia as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Senior Data Engineer - Data Governance & DataOps

Pattison Food Group

Langley, BC โ€ข On-site, Remote

CA$108K - CA$135K/yr

Full-time

Retirement

Re-posted 18 days ago


Job description

Come join Pattison Food Group Ltd., aJim Pattisonbusiness, 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.