Senior Data Analytics Developer

Montreal, QCOnsiteFull TimeSeniorPosted 22 hours ago

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Required skills

data foundation
data platform
data models
shared datasets
product reporting
customer-facing insights
machine learning
AI agents
data quality
pipeline reliability

Nice to have

PySpark
structured streaming
product development environment
Airflow
Dagster
Prefect

Role summary

Coveo is seeking a Senior Data Analytics Developer to build and scale the data platform powering its product innovation. This role involves designing core data models and shared datasets for reporting, insights, ML, and AI agents, while strengthening data quality and pipeline reliability. Responsibilities include processing millions of events daily using Python, dbt, Snowflake, and Databricks, designing batch and streaming transformations, and taking ownership of complex data engineering initiatives. The ideal candidate has 5 years of experience in data pipelines, data models, and analytics for large-scale distributed systems, with strong engineering background in Python, dbt, Snowflake, and Databricks, and in-depth knowledge of SQL, ETL, data warehousing, and Data Lake architecture. Experience with automated testing and cloud providers like AWS is also required.

Build the data foundation powering Coveo's next generation of product innovation.

Are you passionate about building the data foundations that power innovative products? As a Senior Data Developer, you’ll help build and scale the data platform behind Coveo’s product. You’ll design the core data models and shared datasets that power product reporting, customer-facing insights, machine learning, and AI agents.

You’ll also strengthen data quality and pipeline reliability, working with dbt, Snowflake, Databricks, and Python to process hundreds of millions of events daily. Your work will directly support the development of data-driven product features, helping our teams turn complex data into meaningful product improvements.

Here is a glimpse of your responsibilities:

Work with product engineering to turn questions about how users interact with Coveo into well-defined data models.

Build and maintain pipelines that process hundreds of millions of events a day, with tests and monitoring to keep them reliable.

Design batch and streaming transformations, from incremental dbt models in Snowflake to PySpark Structured Streaming jobs in Databricks, and choose the right one for each use case based on latency, cost and data volume.

Take ownership of complex data engineering initiatives, proactively improving data reliability, performance and maintainability while sharing your expertise with teammates

Build AI agents that query our data models directly, and improve their answers by refining the models and definitions they rely on.

Here is what will qualify you for the role:

You have 5 years of experience in a similar role, with expertise in building data pipelines, data models, and analytics for large-scale distributed systems.

You possess a strong engineering background, with hands-on experience in Python, dbt, Snowflake and Databricks.

You have in-depth knowledge of SQL, ETL processes, data warehousing, and Data Lake architecture.

You have experience with automated testing frameworks and a commitment to code quality, including unit testing, integration testing, and code coverage metrics.

You excel at working collaboratively with cross-functional teams and possess exceptional written and verbal communication skills on both technical and non-technical subjects.

You have experience with cloud providers, ideally AWS.

What would make you stand out:

Experience with PySpark and structured streaming, particularly in a product development environment.

Experience with orchestrating complex workflows using tools such as Airflow, Dagster or Prefect.

Familiarity with infrastructure as code and with CI/CD tools such as Jenkins, Github Actions, etc to automate testing, deployment, and integration processes.

Hands-on experience with containerizing applications and managing them at scale using orchestration platforms.

Do you think you can bring this role to life? Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

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