Data Pipeline Engineering Specialist (Cybersecurity) (Hybrid)

Reposted 4 Hours Ago
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Montréal, QC, CAN
Hybrid
Senior level
Fintech • Financial Services
The Role
Design, build, and operate data pipelines ingesting cyber event data for security analytics. Collaborate with security stakeholders to onboard sources, map and transform data, integrate cloud and on-prem systems, automate configuration, monitor and optimize pipeline performance, troubleshoot escalations, and maintain architecture and operational documentation.
Summary Generated by Built In

We’re seeking someone to join our team as a Data Pipeline Engineering Specialist to design, build, and operate critical data pipelines that ingest and process cyber event data for security analytics and monitoring platforms. 

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cyber Security Engineering III position at Director level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. 

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. 

What you’ll do in the role:

  • Collaborate with cyber security stakeholders (security response, investigations, insider threat) to onboard and integrate new data sources 

  • Design and implement data mapping, transformation, and routing processes aligned to analytics and monitoring needs 

  • Build and maintain integrations across cloud and on-premises cyber systems 

  • Develop automation tools leveraging internal configuration management frameworks and APIs 

  • Monitor, maintain, and optimize the performance, reliability, and scalability of data pipeline infrastructure 

  • Act as a senior escalation point for complex troubleshooting, partnering with infrastructure teams to resolve issues 

  • Produce and maintain detailed documentation for architecture, integrations, and operational processes 

What you’ll bring to the role:

  • Hands-on experience with large-scale dataflow platforms (Cribl, Logstash, Apache NiFi) and integrating data pipelines across cloud platforms (AWS, Azure, Google Cloud) and on-prem systems 

  • Strong experience in field extraction, validation, and data parsing/normalization (regular expressions, Elasticsearch, Elastic Common Schema – ECS) 

  • Solid understanding of operating systems and networking (Linux/Unix, HTTP, encryption) 

  • Experience with distributed event streaming platforms (Apache Kafka, AWS Kinesis, Google Pub/Sub, MQ) 

  • DevOps experience with tools such as Git, Jenkins, and Jira 

  • Automation and infrastructure scripting using Python and Ansible 

  • Understanding of cybersecurity data, event types, and monitoring requirements 

  • Familiarity with Agile methodologies, particularly Kanban 

  • Strong analytical thinking, advanced troubleshooting capabilities, and excellent verbal and written communication skills 

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required. 

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • Hands-on experience with large-scale dataflow platforms (Cribl, Logstash, Apache NiFi)
  • Experience integrating data pipelines across cloud platforms (AWS, Azure, Google Cloud) and on-premises systems
  • Field extraction, validation, and data parsing/normalization skills (regular expressions, Elasticsearch, Elastic Common Schema - ECS)
  • Solid understanding of operating systems and networking (Linux/Unix, HTTP, encryption)
  • Experience with distributed event streaming platforms (Apache Kafka, AWS Kinesis, Google Pub/Sub, MQ)
  • DevOps experience with tools such as Git, Jenkins, and Jira
  • Automation and infrastructure scripting using Python and Ansible
  • Understanding of cybersecurity data, event types, and monitoring requirements
  • Familiarity with Agile methodologies, particularly Kanban
  • Fluency in French and English

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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