20 meilleures offres (data systems, toronto, on) (à pourvoir)

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Tactable —Toronto, ON
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QMC Metering Solutions —North York, ON
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Canadian Armed Forces —Ontario
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Canadian Armed Forces —Ontario
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Junior Data Analyst
Releady —Toronto, ON
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- Microsoft Powerpoint
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City of Toronto —Toronto, ON
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Clerk, Training
Toronto Transit Commission —Toronto, ON
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- Microsoft Powerpoint
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il y a 4 jours
Développeur senior / Analyste en systèmes d'affaires - Senior Developer / Business Systems Analyst
Ciot Inc. —Toronto, ON
- À partir de 105 000 $ par an
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Senior Systems Administrator (Storage Services)
Moneris Solutions —Toronto, ON
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Director of Finance (Finance Controller)
Confidential —Vaughan, ON
- De 120 000 $ à 140 000 $ par an
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- Hospitalité
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Electrical Estimator
Smith and Long Limited —Etobicoke, ON
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il y a 5 jours
Outbound B2B Sales Representative
TP Canada —Toronto, ON
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CIPP CCTV & Cutter Operator - Michels Canada
Michels Corporation —Toronto, ON
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- Mathématiques de base
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Sr. Zendesk Platform Engineer
Ingram Micro —Mississauga, ON
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Senior Business Systems Consultant
IFDS Group —Toronto, ON
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il y a 8 jours
Assistant Director of Care - Full Time - Lakeside
Extendicare —Toronto, ON
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3 h
Scale up Supervisor -Chemist
SV labs —Brampton, ON
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- Ingénierie
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Verafin Developer / Integration Engineer
Allevar —Toronto, ON
- De 90 $ à 95 $ de l’heure
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- Azure
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Director of Sales
Allied Technical Services Inc —Scarborough, ON
- De 100 000 $ à 230 000 $ par an
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- Développement commercial
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Engineering Technologist, Rail Cars and Shops
Toronto Transit Commission —Toronto, ON
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- Microsoft Office
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il y a 3 jours

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

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Data Engineer

Tactable
Toronto, ON

Postuler rapidement

Détails du poste

Temps plein
De 140 000 $ à 190 000 $ par an

Profil recherché

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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data systems emplois - toronto, on

Data Engineer

Software Engineer (QA)

Aerospace Telecommunications and Information Systems Technician

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Director of Finance (Finance Controller)

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CIPP CCTV & Cutter Operator - Michels Canada

Sr. Zendesk Platform Engineer

Senior Business Systems Consultant

Assistant Director of Care - Full Time - Lakeside

Scale up Supervisor -Chemist

Verafin Developer / Integration Engineer

Director of Sales

Engineering Technologist, Rail Cars and Shops

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

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