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Cybersecurity Data Engineer Jobs in Calgary, AB (NOW HIRING)

Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk). * AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R ...

Collaborate across Systems Operations, Control Centre, SCADA, Cybersecurity, Telecommunications ... Experience using data analytics, dashboards, Power BI, or automation monitoring and reporting tools.

... data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security ... The Opportunity As aSenior Automation Developer,unlock your potential and embrace the chance to ...

Cybersecurity Incident Manager

Calgary, AB · Hybrid

CA$112K - CA$162K/yr

... sensitive data. In cybersecurity incident management at PwC, you will focus on effectively ... Computer Engineering. * Industry certifications (CISSP/GIAC suite/EC-Council) are an asset.

SCADA Engineer

Calgary, AB · Hybrid

CA$100K - CA$137K/yr

Assess cybersecurity requirements and provide input to meet Client's cybersecurity policies ... We connect people, data and technology to transform the world's infrastructure and energy systems.

... Cybersecurity department. They are responsible for developing and implementing comprehensive ... Direct and motivate a team of network engineer professionals, ensuring they are equipped with the ...

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Cybersecurity Data Engineer information

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

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

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Calgary, AB? For Cybersecurity Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Calgary, AB look for? The top searched job categories for Cybersecurity Data Engineer jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Cybersecurity Data Engineer jobs? Cities near Calgary, AB with the most Cybersecurity Data Engineer job openings:

Senior Manager Cyber Cloud Security and AI

PwC

Calgary, AB

CA$168K - CA$218K/yr

Full-time

Re-posted 11 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.
As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively.

The Opportunity:

AsaSeniorManagerCyber Cloud Security and AI,unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevateyourcareer. Your role will include, butisn'tlimited to:

  • Project management and delivery, as required by the scope of specific client engagements, includes Assessment/Strategythrough tothe Design, Implementation and Optimization of AI Security governance,processesand technology.

  • Engagement management, including project planning, budget and resource management, and the successful completion of engagement work streams.

  • Business development activities throughout the entire opportunity lifecycle, including lead generation, opportunity tracking, pre-sales presentations, technical demos, client & engagement risk assessments, bid management, proposalwritingand contract management.

  • Working with other Cybersecurity & Privacy teams on non-AI Security projects asrequired.

  • Strategic Leadership:Develop and implement a comprehensive cybersecurity strategy focused on AI security and data protection to mitigate risks and enhance security posture. Drive initiatives to integrate security practices into AI models and data usage across the organization.

  • Innovation & Research:Stay ahead of industry trends and advancements in AI security and data protection, contributing to thought leadership and innovation within PwC. Engage with external stakeholders, such as industry consortia and research organizations, to enhance service offerings.

  • Risk Management:Conduct risk assessments toidentifyvulnerabilities in AI systems and data management practices. Design and implement plans to address cybersecurity risks related to AI applications and data processing.

  • Policy Development:Establishpolicies and standards for AI security and data operations. Ensure compliance with applicable regulations, standards (e.g., GDPR, CCPA), and best practices in cyber resilience.

  • Team Leadership:Lead and mentor a team of cybersecurity professionals,fostering a culture of continuous improvement and knowledge sharing. Collaborate with cross-functional teams to create awareness of cybersecurity risks and instill a security-minded culture.

  • Threat Intelligence & Response:Monitoremerging AI threats and vulnerabilities, providing guidanceon incidentresponse and remediation. Coordinate with the security incident response

  • Stakeholder Engagement:Liaise with senior leadership, clients, and partners to understand their AI security and data concerns, providing expert advice and solutions. Present findings, strategies, and recommendations to executive management and clients.

What You'll Bring:
Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:

  • Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk).

  • AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch)

  • Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894).

  • Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch)

  • Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894).

  • Relevant degree in Computer Science orother applicable degree.

  • Excellent written and verbal skills with proven ability to explain complex technical and security concepts to a non-technical audience. Specific relevant experience should include writing and present security assessment reports and proposals.

  • Ability to handle high pressure situations with key stakeholders.

  • Demonstrates proven problem-solving, critical thinking and interpersonal skills and deep curiosity and growth mindset.

  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $168,000 - $218,000. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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