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 tactable.io 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.
