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Data Analytics Engineer Jobs in British Columbia

... analytics judgment, strong SQL/Python capability, software engineering discipline, and practical ... Proactively mine for data drive insights to support PSET's platform outcomes, focusing on ...

The Data & Analytics team is moving from a legacy reporting model to a modern data platform ... About the Role: The Senior Data Engineer will design, build, and improve the data platform ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Senior Data Engineer

Victoria, BC · On-site

CA$8.2K - CA$9.9K/mo

Build the data foundation that powers reporting, analytics, operational decision-making, and ... You'll help shape the future of the organization's data engineering practice by introducing best ...

Deliver - A written brief for engineering: where labs hit friction during mapping, what's causing ... Proficiency in Python for data analysis and workflow automation. * Experience with ETL/ELT ...

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 ...

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 ...

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 ...

Advance your analytics career with Pantheon as a Senior Data Modeler, shaping how data transforms ... in analytics engineering. You'll guide the modeling lifecycle and collaborate with various ...

Showing results 21-40

Data Analytics Engineer information

See British Columbia salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics engineer in British Columbia is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are popular job titles related to Data Analytics Engineer jobs in British Columbia?

For Data Analytics Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in British Columbia look for?

The top searched job categories for Data Analytics Engineer jobs in British Columbia are:

Infographic showing various Data Analytics Engineer job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Senior Cybersecurity Engineer - Data & AI Security

lululemon

Vancouver, BC

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 26 days ago


Lululemon Athletica rating

7.3

Company rating: 7.3 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

11th of 104 rated fashion retailers


Job description

Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.

As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Data & AI Security team is responsible for protecting the organization's most critical data and AI assets while enabling responsible, scalable innovation.

We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross-functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction.

The Senior Cybersecurity Engineer is responsible for securing the organization's AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment. Core responsibilities As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale.

You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing. Select responsibilities include: Build enterprise security systems implementing centralized authentication, security platforms, and organization-wide controls Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle Own end-to-end response for complex security incidents, driving deep root cause analysis and delivering coordinated long-term improvements to detection, prevention, and security monitoring capabilities Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs Establish security code standards defining secure coding practices, code review requirements, and implementation quality Qualifications Bachelor's degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred 6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent.

Experience with Data Security Posture Management (DSPM), Data Loss Prevention (DLP), AI Security Posture Management (AISPM), or related data security technologies, including data discovery, classification, run time monitoring, and policy enforcement across enterprise and cloud environments. Experience owning, operating, or maturing enterprise security platforms and capabilities, including operationalization, roadmap execution, adoption, and continuous improvement. Strong systems engineering mindset with experience designing scalable solutions, integrations, automation, and operational processes.

Experience translating security findings into prioritized remediation plans and measurable risk reduction outcomes. Experience identifying and mitigating risks associated with sensitive data exposure, AI-enabled solutions, cloud data platforms, and emerging technologies. Proven ability to lead enterprise-scale security capabilities and initiatives, driving alignment, adoption, and measurable outcomes across technical and business teams Experience defining metrics, reporting, operational processes, and service models that support sustainable security capabilities at enterprise scale.

Strong communication and collaboration skills, with the ability to explain complex technical concepts and influence decisions across engineering, cybersecurity, data, privacy, legal, and business teams. Experience mentoring engineers and contributing to technical direction, best practices, and capability maturity within a security engineering organization. Must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life.

Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.

Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. Please Note: Authorization to work in Canada is required for this role.

Compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this positionis from$132,600 - $174,400 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well.

Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series(to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. Workplace arrangement This role is classified asIn-Personunder our SSC Workplace Policy: In-person collaboration and/or office-based work is necessary or important for the role.

Work is mainly performed onsite, 4-5 days per week depending on role requirements.


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