Posted 5 months ago
Senior Data Engineer (Streaming + AI Systems)
@ Calliere
Toronto, Ontario
Overview
Calliere is hiring a Senior Data Engineer to lead real-time data systems and scalable architecture for operational intelligence and predictive modelling at a capital-backed industrial and infrastructure operator. The role is a senior individual contributor with end-to-end ownership of pipelines, platform design and production ML. The posting states full-time employment and no location, salary or schedule.
Responsibilities:
- Architect and operate real-time and batch data pipelines
- Lead lakehouse architecture evolution for analytics and ML
- Design and productionize end-to-end ML pipelines
- Apply statistical methods to business problems
- Own infrastructure design using Terraform
Requirements summary:
- Proven experience scaling production data platforms
- Deep expertise in streaming and distributed processing
- Experience owning ML and data pipelines end-to-end
- Solid statistical modelling grounding
- Strong system design skills
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-06-18
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Calliere
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
The Callière Group is a boutique organization that provides tailored executive search, talent acquisition, and advisory services to meet the unique challenges our clients face. We pride ourselves on a collaborative approach. We partner with our clients to solve their most challenging talent acquisition and management needs. The Callière Group has a dependable foundation of recruiting Management Consulting, IT professionals and Management Executives from across industries with particular expertise helping organizations within the Professional Services; Financial Services; Retail and, Technology sectors. Our outcome based approach is built on ensuring alignment of stakeholder needs. Our job is to provide our clients with the right candidates for their strategic talent requirements as well as to provide top tier advisory services. The Callière Group approach is one that is built to minimize organizational disruption; collaboratively defines and articulates an organization’s specific talent needs; and, best positions organizations and candidates for success. The commitment to delivering results that organizations, employers and candidates demand and deserve is best achieved with Callière Group consultants. Consultants who have gained wisdom and foresight that can only come from direct Professional Services experience at all levels, ongoing training, and have significantly accrued time-tested experience in both successful and even unsuccessful project execution.
- LinkedIn followers
- 2,806
- People associated on LinkedIn
- 3
- Reported office locations
- 54, rue Le Royer Ouest, Montreal, Quebec H2Y 1W7, CA
- 500 King Street West, Toronto, Ontario M5V 1L9, CA
- 8 Faneuil Hall Marketplace, Boston, Massachusetts 02109, US
- Other recorded names
- Calliere
- Calliere Group
- Specialties
- Recruiting
- Technical Recruiting
- Consulting
- Headhunting
- Executive
- Infrastructure
- Development
- Automated Testing
- Mobile
- Security
- Big Data
- Artificial Intelligence
- Machine Learning
- DevOps
- Architecture
- Bioengineering
- Bioinformatics
- Digital Health
- Computational Biology
- Biostatistics
- LLM
- NLP
- Cryptography
- Fintech
- Ultra Low Latency Development
- Web3
- and Blockchain
- Profile identifies a recruitment agency
- Yes
The Callière Group is a boutique organization that provides tailored executive search, talent acquisition, and advisory services to meet the unique challenges our clients face. We pride ourselves on a collaborative approach. We partner with our clients to solve their most challenging talent acquisition and management needs. The Callière Group has a dependable foundation of recruiting Management Consulting, IT…
| Field | Value |
|---|---|
| Industry | Information Technology & Services |
| Company size | 2-10 employees |
| Headquarters | Montreal, Quebec |
| Organization type | Privately Held |
| Year founded | 2008 |
| Specialties | RecruitingTechnical RecruitingConsultingHeadhuntingExecutiveInfrastructureDevelopmentAutomated TestingMobileSecurity |
| Open jobs on Jobsy | 14 |
| View page |
We’re partnered with a capital-backed operator in the industrial / infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational intelligence and predictive modelling.
This is a high-ownership role at the intersection of data engineering, applied statistics, and production AI. You’ll operate as a senior individual contributor with end-to-end responsibility across pipelines, platform design, and ML enablement.
Why This Role Is Compelling
True ownership of the data platform: architecture, pipelines, and production ML systems.
Direct impact on operational performance and financial strategy, not just analytics.
Senior-level autonomy with influence over technical direction and tooling choices.
Lean, execution-focused team where senior engineers build and ship complete systems.
Long-term stability paired with a builder environment and modern stack.
Scope and Responsibilities
Architect and operate real-time and batch data pipelines (Kafka, Spark, AWS ecosystem).
Lead the evolution of a scalable lakehouse architecture for analytics and ML workloads.
Design and productionize end-to-end ML pipelines, including feature engineering and real-time inference.
Apply statistical methods (time-series, regression, anomaly detection) to high-impact business problems.
Partner with stakeholders across operations, finance, and product to translate complex requirements into robust systems.
Own infrastructure design using IaC (Terraform or equivalent) to ensure reproducibility and scale.
Drive performance, reliability, and observability across data systems.
Evaluate and introduce new tools and patterns across data engineering and applied AI.
Requirements
Tech Environment
AWS (Glue, Lambda, ECS, S3, and related services)
Apache Spark + lakehouse frameworks (Delta or equivalent)
Kafka / streaming architectures
Terraform (Infrastructure as Code)
What They’re Looking For
Proven experience building and scaling data platforms in production environments.
Deep expertise in streaming systems and distributed data processing.
Strong system design skills with the ability to operate at both architecture and implementation levels.
Experience owning ML/data pipelines end-to-end, including production deployment.
Solid grounding in statistical modelling and real-world applications.
A bias toward ownership, pragmatism, and building systems that actually get used.
Journal
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