25 meilleures offres (data engineer, caledon, on) (à pourvoir)

Data Engineer
Tactable —Toronto, ON
- De 140 000 $ à 190 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
- Assurance Dentaire
- Congés payés
Postuler rapidement
Data Engineer
KUBRA —Mississauga, ON
- De 100 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Ingénierie
- Maîtrise
- Bourses d'Études
Postuler rapidement
Senior Data Engineer
Agilus by Synergie —Toronto, ON
- De 140 000 $ à 160 000 $ par an
- Télétravail
- SQL
- Expérience en entrepôt
- Python
- Assurance Dentaire
- Congés payés
Postuler rapidement
il y a 5 jours
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Big Data Engineer
ISG Search Inc —Toronto, ON
- Jusqu’à 120 000 $ par an
- Temps plein
- Informatique
- Informatique
- Java
Postuler rapidement
il y a 6 jours
Data Platform Engineer Analyst
Sanofi EU —Toronto, ON
- De 94 700,00 $ à 136 766,66 $ par an
- Travail hybride
- Informatique
- Ingénierie
- Java
il y a 6 jours
Sr. Data Engineer-IICS/IDMC , AWS
APPTOZA INC. —Toronto, ON
- De 45 $ à 50 $ de l’heure
- Fins de semaine au besoin
- Travail hybride
- Oracle
- SQL
- AWS
Postuler rapidement
il y a 14 jours
Sr. Data Engineer - Data Factory, Databricks, Azure SQL, Spark SQL, ETL, ELT
APPTOZA INC. —Toronto, ON
- De 55 $ à 59 $ de l’heure
- Travail hybride
- Azure
- DevOps
- SQL
Postuler rapidement
il y a 12 jours
Senior Data Engineer ( Snowflake/ AWS)
Talent To Hire Inc. —Toronto, ON
- De 120 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- Azure
- SQL
- AWS
Postuler rapidement
Data Engineer
Tata Consultancy Services —Toronto, ON
- De 90 000 $ à 110 000 $ par an
- Azure
- Oracle
- Bases de données
Data Engineer
HAVI Logistics GmbH —Toronto, ON
- De 95 000 $ à 110 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- DevOps
- Régimes de participation aux bénéfices
- Jours fériés payés
Data Engineer
Havi Supply Chain —Toronto, ON
- De 95 000 $ à 110 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- DevOps
- Régimes de participation aux bénéfices
- Jours fériés payés
Data Engineer
GEI Consultants —Markham, ON
- De 90 000 $ à 150 000 $ par an
- Temps plein
- Travail hybride
- Azure
- DevOps
- SQL
- Régimes de participation aux bénéfices
- Aide au Transport Quotidien
Postuler rapidement
Data Engineer
Leap Tools —Toronto, ON
- De 65 000 $ à 115 000 $ par an
- Temps plein
- Télétravail
- Informatique
- Informatique
- DevOps
Data Engineer
Zurich Insurance —Toronto, ON
- De 65 000 $ à 100 000 $ par an
- Travail hybride
- Azure
- Informatique
- Ingénierie
Data Engineer, Platform
Spotify —Toronto, ON
- De 103 321 $ à 147 602 $ par an
- Ingénierie
- Intelligence artificielle
- Python
- Jours fériés payés
- Assurance Dentaire
Data Engineer
OMERS —Toronto, ON
- De 72 000 $ à 108 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Expérience en entrepôt
- Analytique
Staff Data Engineer
Loblaw Digital —Toronto, ON
- De 145 000 $ à 195 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Java
Data Engineer (GCP)
Stacktics —Toronto, ON
- Temps plein
- DevOps
- SQL
- Capacités de présentation
Data Engineer
ShyftLabs —Toronto, ON
- De 100 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- DevOps
- Assurance Dentaire
- Assurance Vision
Postuler rapidement
Data Engineer
Maplesoft Group —Toronto, ON
- De 60 $ à 100 $ de l’heure
- Travail hybride
- Azure
- Anglais
- SQL
Sr. IFRS17 Data Engineer
Tata Consultancy Services —Mississauga, ON
- De 90 000 $ à 120 000 $ par an
- DevOps
- Analyse de données
- SQL
Data Engineer
Ample Insight Inc. —Toronto, ON
- Temps plein
- Doctorat
- Informatique
- Schémas
Postuler rapidement
Data Engineer Co-op (8-12 Months)
Rakuten Global —Toronto, ON
- 45 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Anglais
- Maîtrise
Big Data Engineer
TMX Group Limited —Toronto, ON
- De 100 000 $ à 120 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Informatique
- CAD

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data engineer (caledon, on)

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Data Engineer

Tactable
Toronto, ON

Postuler rapidement

Détails du poste

Temps plein

Avantages

Assurance Dentaire
Congés payés

Compétences

CI/CD
Infrastructure infonuagique
Azure
Kubernetes
Anglais
SQL
Docker
Développement logiciel
APIs
Python

Description complète du poste

Our Mission at Tactable

What if you could build software that didn’t just scale, but transformed entire organizations?

At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.

We don’t just consult. We build.

Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.

From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.

Take a look at to learn more about our work and what sets us apart.

The Role: Data Engineer (Cloud, Python)

This is a hands-on, hybrid role designed for data engineers who thrive at the intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building robust, cloud-native data platforms, optimizing large-scale workflows, and delivering reliable data systems in production environments.

You’ll have the opportunity to own architectural decisions, drive platform migrations, and mentor others across data and software engineering domains. Whether you're scaling a trading system or modernizing a legacy data warehouse, your work will be high-impact and highly visible.

If you care about clean pipelines, scalable architecture, and building systems that power real users, you’ll thrive at Tactable.

What You’ll Do

End-to-End Data Engineering

Build scalable, reliable ETL/ELT pipelines using Python, and SQL
Design and maintain batch and near–real-time data workflows using Python-based frameworks
Integrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systems
Migrate legacy data architectures into modern, cloud-native environments
Optimize workloads for performance, cost, and fault tolerance
Ensure data quality, observability, and reliability across pipelines

Technical Leadership

Own critical components of infrastructure across batch and streaming systems
Break down complex technical challenges into executable components
Mentor junior engineers through code reviews, architectural guidance, and technical pairing
Automate and standardize pipelines to reduce overhead and increase velocity
Contribute to internal tooling, documentation, and engineering best practices

Client & Project Exposure

Work directly with client engineering teams in finance, trading, and enterprise tech
Rotate across domains and industries every 6–12 months, gaining broad exposure to systems and technologies
Tackle greenfield builds, system migrations, and enterprise-scale data transformations
Engage as a true partner, not a vendor, in shaping data product strategy

What You Bring

Must-Have Experience

Extensive experience in data engineering or software engineering roles
Strong programming skills in Python
Deep experience building and maintaining production-grade data pipelines
Strong SQL skills and experience working with both structured and unstructured data
Hands-on experience with cloud infrastructure (preferably Azure)
Experience with CI/CD pipelines and infrastructure-as-code practices
Familiarity with data orchestration tools (e.g., Airflow, dbt)
Experience working in containerized environments (Docker, Kubernetes)

Bonus Points For

Experience working in finance, trading, or other regulated / high-performance environments
Experience with Databricks or similar managed data platforms
Strong documentation, collaboration, and knowledge-sharing mindset
Comfort working across the full data lifecycle, from ingestion to analytics and reporting

Why You’ll Love This Role

Growth-First Culture: From custom career paths to project rotation, we design roles around your goals, not just business needs.
Full Ownership & Impact: You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
Tight-Knit Team: We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
Real Work, Real Users: We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
Flexibility with Structure: We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.

Why This Might Not Be a Fit

You’re looking for narrowly scoped responsibilities or long-term focus on a single domain
You prefer a rigid hierarchy with formal titles and isolated workstreams
You’re more comfortable in a vendor-style delivery model than deep technical partnerships

Compensation, Benefits & Perks

Salary Range: $100,000 – $140,000 CAD, based on experience and role fit
Comprehensive health and dental plan
Generous PTO and holidays
Laptop & home office equipment provided
Career coaching and personalized development plans
Regular social events, team outings, and wellness activities

Hiring Process & Transparency

This role is for an active vacancy on our engineering team, not a future talent pool position.
As part of our hiring process, we use AI-assisted screening tools. Candidates who move forward complete an initial screening interview via an AI-based platform, with results reviewed by Human Resources. Selected candidates then proceed to interviews with our engineering team.

Ready to Build the Next Generation of Cloud & Data Infrastructure?

No cover letter required. Just apply, and let’s start building.

Job Type: Full-time

Pay: $140,000.00-$190,000.00 per year

Experience:

Software development: 7 years (required)

Language:

English (required)

Location:

Toronto, ON M5A 1E1 (required)

Work Location: Hybrid remote in Toronto, ON M5A 1E1

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data engineer (caledon, on)

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