Jobs in Canada

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Added 2 months ago
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Intermediate / Senior EIC Project Engineer / Manager
Englobe
Calgary, AB
- Full-time
Degree or diploma from a recognized technical institute in one or more of the following disciplines: Electrical Engineering/Design, Control Systems Engineering, Instrumentation Engineering,…
Added 2 months ago
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Intermediate & Senior Electrical Engineer
Englobe
Calgary, AB
- Full-time
Specify and procure electrical equipment such as Switchgear, MCC’s, VFD’s, UPS Systems, Generators, Heat Trace Controllers, Harmonic Filters, Electrical Buildings and induction motors.
Added 2 months ago
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Intermediate Controls Technologist / Engineer
Englobe
Calgary, AB
- Full-time
Design, programming and commissioning of industrial control and HMI systems (DCS/PLC/SCADA/RTU).
Added 2 months ago
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Analyst, Business Intelligence (BI)
Bombardier
Montreal, QC
- Full-time
Collect, structure, and analyze data from multiple sources (ERP systems, operations, quality, etc.).
Added 2 months ago
IC
Systems Engineering, Senior Specialist
Interac Corp.
Toronto, ON
- Full-time
The vacant Systems Engineering, Senior Specialist role will report to the Leader, Infrastructure Operations. The Systems Engineering, Senior Specialist is responsible for the reliability,…
Added 2 months ago
B
Professional Engineering, Systems Installation Integrator
Bombardier
Montreal, QC
- Full-time
Job Professional Engineering, Systems Installation Integrator
Added 2 months ago
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Project Controls Director
AtkinsRéalis
Kincardine, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 2 months ago
A
Project Controls Director
AtkinsRéalis
Kincardine, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 2 months ago
A
HR Coordinator - DNNP
AtkinsRéalis
Oshawa, ON
- Full-time
Coordinate employee status changes and maintain accurate records within Workday and assignment management systems.
Added 2 months ago
A
HR Coordinator - DNNP
AtkinsRéalis
Oshawa, ON
- Full-time
Coordinate employee status changes and maintain accurate records within Workday and assignment management systems.
Added 2 months ago
B
Methods Agent, Natural Team (Preflight)
Bombardier
Dorval, QC
- Full-time
You must have a strong sense of responsibility, integrity, initiative and a good technical judgment
Added 2 months ago
CG
System Functional Safety Manager – Automotive Systems
CS GROUP - Canada
Montreal, QC
- Full-time
10+ years’ experience in system safety engineering, with a focus on automotive systems.
Added 2 months ago
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UX Specialist
Rodeo FX
Montreal, QC
- Full-time
Partner with Pipeline, Systems, Production, and Creative teams to translate user research and feedback into actionable product and workflow requirements.
Added 2 months ago
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M-U Electrical Technician
ROHL Global Networks Inc.
Headingley, MB
- $26 to $30 CAD / hour
- Full-time
…grown into real estate development and management, solar energy systems, and power infrastructure, serving enterprise, government, and wholesale…
Added 2 months ago
QI
Purchaser
Quarterhill Inc.
Saskatoon, SK
- Full-time
Collaborating with Finance, Sales, Engineering, Project Management, and other departments the Purchaser understands requirements, evaluates suppliers, and ensures purchasing activities…
Added 2 months ago
AI
Shop Coordinator Manager
Applied Industrial Technologies - Canada
Saskatoon, SK
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 2 months ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
…forecasting, causal analysis, and large language model and agentic…
Added 2 months ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
This position suits an engineer who thinks in terms of failure modes and who expects their systems to be inherited, debugged, and extended by other people.
Added 2 months ago
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Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
…deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and fine-tune large language models (LLMs) and other deep learning…
Added 2 months ago
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Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
Working with MacOS/Unix/Linux operating systems working as a software developer;
Added 2 months ago
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Director-Technology Delivery-AI&Data
Accenture
Toronto, ON
- Full-time
…work across data migration, data modernization, and knowledge engineering, turning legacy data estates into intelligence-first platforms. Want to shape and lead the engagements - and the…
Added 2 months ago
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Senior Autonomous Vehicle Technician
TSMG
Toronto, ON
- Full-time
- Contract
You will work closely with AV Operations Leads, Depot Specialists, Safety Operators, SDS Specialists, engineering teams, and fleet operations teams to minimize vehicle downtime and keep the…
Added 2 months ago
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Senior Autonomous Vehicle Technician
TSMG
Montreal, QC
- Full-time
- Contract
You will work closely with AV Operations Leads, Depot Specialists, Safety Operators, SDS Specialists, engineering teams, and fleet operations teams to minimize vehicle downtime and keep the…
Added 2 months ago
T
Autonomous Vehicle Operations Lead
TSMG
Toronto, ON
- Full-time
- Contract
Coordinate daily activities with engineering, product, technical, and fleet management teams.
Added 2 months ago
T
Autonomous Vehicle Operations Lead
TSMG
Vancouver, BC
- Full-time
- Contract
Coordinate daily activities with engineering, product, technical, and fleet management teams.

Arcurve Inc.

Intermediate Data Engineer

Calgary, AB, Canada

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 9, 2026

Original job description

Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have completed more than 1000 projects for clients ranging from start-ups to Fortune 500 companies. From our office in Calgary and hubs in Halifax, Houston, and Vancouver we deliver exceptional results for our clients in a diverse range of industries including telecommunications, oil and gas, transportation, private equity, gaming, infrastructure, software, finance, and hospitality.

At Arcurve, we believe that work should be an enjoyable experience and that the best “aha” moments come through team learning and continuous motivation. We know the key to success is collaboration, and that you can’t put a value on accountable, transparent, and authentic interactions. We strive to deliver exceptional service while creating lasting relationships with our employees, our students, our clients, and our community.

We’re looking for an authentic, collaborative, and accountable Data Engineer to join the Arcurve team.

YOU ARE

Passionate about technology
An authentic and creative human
Driven to succeed
A believer in the importance of teamwork
Community-minded
An expert problem solver
Someone who thrives on challenge
Motivated by exceptional results
Someone who cares about your clients

THE GOAL

To deliver best-in-class technical solutions across a broad array of clients in different industries utilizing the tech stack best suited to solving the problem with a focus on delivering business value for our clients.

THE ROLE

Arcurve delivers applied machine learning for clients operating in complex technical environments. The value of that work depends on whether it runs reliably against real operational data, which is rarely clean, complete, or timely.

As a Data Engineer, you will build and operate the pipelines and platform that carry data from source to model to decision, across batch and streaming workloads. You will also take a hands-on role in productionizing machine learning models, working alongside a Data Scientist who owns the analytical design.

This position suits an engineer who thinks in terms of failure modes and who expects their systems to be inherited, debugged, and extended by other people.

THE RESPONSIBILITIES

Design, build, and maintain production data pipelines, including ingestion, transformation, orchestration, and data quality validation.
Develop streaming and near-real-time pipelines where operational decisions depend on low latency.
Own MLOps infrastructure, including CI/CD for models, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining.
Implement validated machine learning approaches as production services that perform reliably under enterprise load.
Build data models and semantic layers that support both analyst querying and reliable reasoning by large language models.
Provision and maintain cloud infrastructure, and establish the observability, alerting, and recovery procedures that keep it dependable.
Collaborate with data scientists, client engineering teams, and business stakeholders on requirements and delivery.

THE REQUIREMENTS

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Demonstrated experience building and operating production data platforms.
Expert-level SQL and strong Python.
Deep experience with Databricks and/or Snowflake. Experience with BigQuery and Microsoft Fabric is also highly valued.
Spark, including performance tuning on production workloads.
Pipeline orchestration and workflow tooling such as Airflow, Databricks Workflows, Azure Data Factory, or dbt.
MLOps tooling such as MLflow, Databricks Asset Bundles, or Azure ML, with practical experience deploying and monitoring models.
Experience delivering in a major cloud environment, with Azure preferred and AWS a strong second.
Working proficiency with Docker and Kubernetes, including containerizing and deploying services.
CI/CD and infrastructure-as-code practice.
Data modelling experience across dimensional, normalized, or graph approaches, with the judgment to select appropriately.
Established software engineering habits, including version control, code review, automated testing, structured logging, and error handling.
Excellent written and verbal communication with both technical and non-technical audiences.

PREFERRED QUALIFICATIONS

Streaming platforms such as Kafka, Event Hubs, Kinesis, or Spark Structured Streaming.
Deploying machine learning models at scale, including real-time inference and GPU workloads.
Graph databases and graph data modelling.
Handling unstructured data at volume, including images, documents, and audio.
Data governance, lineage, and cataloguing.
Domain exposure to industrial, energy, or engineering-led sectors.

THE PERKS

A fun work atmosphere that values equity, diversity and inclusion.
Competitive contractor rates.
Hybrid work environment and flexible scheduling.
Contract or Employment opportunities

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

Design, build, and maintain production data pipelines and MLOps infrastructure to support reliable machine learning models. Collaborate with data scientists and stakeholders to ensure data quality and system observability across cloud environments.

Requirements

Requires a bachelor's degree in a technical field and demonstrated experience building production data platforms. Candidates must possess expert-level SQL, strong Python skills, and proficiency with cloud-based data tools like Databricks or Snowflake.

Skills

SQL
Python
Databricks
Snowflake
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling

Benefits

Competitive contractor rates
Hybrid work environment
Flexible scheduling
Fun work atmosphere

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
SQL
Python
Databricks
Snowflake
BigQuery
Microsoft Fabric
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling
Streaming
Kafka
Event Hubs
Kinesis
GPU
Data governance
Cloud infrastructure
Observability
Machine learning
Data pipelines
Semantic layers

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Work requirements

Jobs in Canada