We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We continuously meet talented engineers to support upcoming client projects.

While there may not be an immediate opening, qualified candidates may be considered for future engagements. Join the team as a senior-level Data Engineer with strong ownership of data pipelines and architecture Design, build, and maintain reliable ETL pipelines from the ground up Work with large, complex datasets using Python or Java and advanced SQL Build scalable and efficient data flows and transformations across multiple systems Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data Ensure data quality, consistency, performance, and reliability across the data platform 7+ years of experience as a Data Engineer ~ Strong skills in Python or Java for data processing ~ Proficient in SQL, especially for querying large datasets ~ Experience with batch and/or stream data processing pipelines ~ AWS S3, EC2, Lambda,



GCP Cloud Storage, etc.) ~ Knowledge of data modeling, normalization, and performance optimization ~ Comfortable working in agile, collaborative, and fully remote environments ~ Fluent in English (spoken and written) Exposure to basic data governance or privacy standards Unit testing and CI/CD pipelines for data workflows This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location. This is a fully remote position ; In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: ~ Flexible working hours in a remote setting. ~ Health insurance (medical and dental) for T4 Employees. ~ This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday .

As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals. #

📌 Data Modellers (Montreal)
🏢 Lumenalta
📍 Montreal