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.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: Senior 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 Senior 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 DoEnd-to-End Data EngineeringBuild scalable, reliable ETL/ELT pipelines using Python,



and SQLDesign and maintain batch and near-real-time data workflows using Python-based frameworksIntegrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systemsMigrate legacy data architectures into modern, cloud-native environmentsOptimize workloads for performance, cost, and fault toleranceEnsure data quality, observability, and reliability across pipelinesTechnical LeadershipOwn critical components of infrastructure across batch and streaming systemsBreak down complex technical challenges into executable componentsMentor junior engineers through code reviews, architectural guidance, and technical pairingAutomate and standardize pipelines to reduce overhead and increase velocityContribute to internal tooling, documentation, and engineering best practicesClient & Project ExposureWork directly with client engineering teams in finance, trading, and enterprise techRotate across domains and industries every 6-12 months, gaining broad exposure to systems and technologiesTackle greenfield builds, system migrations, and enterprise-scale data transformationsEngage as a true partner, not a vendor, in shaping data product strategyWhat You BringMust-Have Experience8+ years of extensive experience in data engineering or software engineering rolesStrong programming skills in PythonDeep experience building and maintaining production-grade data pipelinesStrong SQL skills and experience working with both structured and unstructured dataHands‑on experience with cloud infrastructure (preferably Azure)Experience with CI/CD pipelines and infrastructure-as-code practicesFamiliarity with data orchestration tools (e.G., Airflow, dbt)Experience working in containerized environments (Docker, Kubernetes)Bonus Points ForExperience working in finance, trading,



or other regulated / high-performance environmentsExperience with Databricks or similar managed data platformsStrong documentation, collaboration, and knowledge-sharing mindsetComfort working across the full data lifecycle, from ingestion to analytics and reportingWhy You'll Love This RoleGrowth-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 robust 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 FitYou’re looking for narrowly scoped responsibilities or long-term focus on a single domainYou prefer a rigid hierarchy with formal titles and isolated workstreamsYou’re more comfortable in a vendor-style delivery model than deep technical partnershipsSalary Range: $140,000 - $190,000 CAD, based on experience and role fitComprehensive health and dental planGenerous PTO and holidaysLaptop & home office equipment providedCareer coaching and personalized development plansRegular social events, team outings, and wellness activitiesHiring Process & TransparencyThis 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.#J-18808-Ljbffr

📌 Senior Data Engineer (Toronto)
🏢 Tactable
📍 Toronto