Data Engineer

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, Streaming)

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, from building real-time Kafka pipelines and distributed systems to optimizing large-scale workflows 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

PySpark

, and

SQL

Design and optimize

real-time data pipelines

using

Kafka

,

Java Spring

, and

streaming APIs

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

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 software or data engineering roles

Strong programming skills in

Java

and

Python

Deep understanding of

Kafka

,

event-driven architectures

, and

streaming frameworks

Deep experience with

Spark/PySpark

, and large-scale production data systems

Strong SQL and experience working with both structured and unstructured data

Hands-on experience with

cloud infrastructure

(preferably

Azure

) and

CI/CD pipelines

Familiarity with data orchestration tools (e.g.,

Airflow

,

dbt

) and containerized environments

Bonus Points For

Experience with full-stack development (e.g.,

React

) and building data-driven frontends

Prior work in

finance

,

trading

, or other

regulated/high-performance

environments

Strong documentation, collaboration, and knowledge-sharing mindset

Experience with

Databricks

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: Competitive and flexible, based on experience and fit for the role.

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

Ready to Build the Next Generation of Data Infrastructure?

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