Senior Data Engineer

Senior Data Engineer at Loopio

Join to apply for the Senior Data Engineer role at Loopio.

Take your career to new heights with Loopio! 🚀✨

Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.

We are looking for an experienced Data Engineer to join the Applied Science team within Engineering, building and supporting data that drives analytics for both internal teams and Loopio’s customers. This role focuses on empowering teams with valuable data assets to improve decision‑making productivity, and acts as a reliable foundation for any research and analysis activities. You'll play a key role in shaping Loopio’s data strategy in a dynamic and evolving technology landscape.

You will partner closely with ML Engineers, Software Developers, Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

This role requires close collaboration with teams across Canada, the UK, and India.

Note:

This is an existing vacancy on the team.

• Ownership and Leadership:
  Act as a glue between stakeholders, engineering teams, and researchers to drive progress on complex, shared initiatives. Be an expert in your area and a go‑to person for data‑related requests and enquiries.
• Scalable Data Platforms & ETL Pipelines:
  Design, build, and optimize data pipelines to support high‑scale data ingestion, transformation, and storage. Develop efficient ETL workflows using Databricks, Redshift, and various AWS cloud technologies.
• Data Engineering for ML & Analytics:
  Develop and maintain a feature store to support predictive models, AI‑driven insights, and data science applications. Enable seamless integration of structured (RDS, MySQL) and unstructured (clickstream, logs) data into the data lake / data warehouse / data mart layers.
• Automation & Orchestration:
  Build robust automation tooling for data orchestration, testing, monitoring, and administration. Leverage workflow orchestration tools (Airflow, Databricks Workflows) to streamline data operations.
• Cloud & Big Data Infrastructure:
  Architect scalable data solutions leveraging AWS services (S3, Redshift, Lambda, RDS, DMS) and distributed computing frameworks (PySpark, Lambda fleets, etc). Optimize query performance and ensure reliability in high‑volume environments.
• Cross‑Functional
  
  Collaboration:
  
  Partner with Data Scientists, ML Engineers, and business stakeholders to create AI‑powered insights, drive product improvements, and enable data‑driven decision‑making.

• Data Engineering & Cloud Expertise: 5+ years of experience in data engineering, with hands‑on experience in ETL, data architecture, and cloud‑based data platforms. Strong proficiency in AWS (S3, RDS, Redshift, Glue, IAM, Dynamo
  
  DB).
• Advanced DB engines expertise & Data Processing:
  Deep understanding of database design, query optimization, and data modelling. Expertise in distributed data processing frameworks (Spark, Databricks, Presto).
• Software Development & Orchestration:
  Strong Python and PySpark development skills. Experience with CI/CD pipelines (Jenkins) and data workflow automation (Airflow, Databricks Jobs).
• Scalable Systems & Performance Tuning:
  Proven ability to build and optimize large‑scale data infrastructure, ensuring low‑latency access, efficient storage, and high reliability.
• Leadership &
  
  Collaboration:
  
  Strong problem‑solving skills, ability to work in fast‑paced environments, and experience mentoring engineers or driving technical initiatives.

• Loopio is a remote‑first workplace. HQ is in Canada, with established hub regions around the world.
• Employees live in Canada (British Columbia and Ontario), London, and India (Gujarat, Maharashtra, Bengaluru).
• Most team members are based in ON and BC, working remotely within a 300 km radius of Toronto and Vancouver. Flexible…