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.
- 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.
- 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 [email protected] to discuss your needs.
Skills Required
- 5 years of experience in a similar role
- Experience building data pipelines, data models, and analytics for large-scale distributed systems
- Hands-on experience with Python, dbt, Snowflake, and Databricks
- In-depth knowledge of SQL, ETL processes, data warehousing, and data lake architecture
- Experience with automated testing frameworks, including unit testing, integration testing, and code coverage metrics
- Strong collaboration and written and verbal communication skills with technical and non-technical audiences
- Experience with cloud providers, ideally AWS
- Experience with PySpark and structured streaming in a product development environment
- Experience orchestrating complex workflows with Airflow, Dagster, or Prefect
- Familiarity with infrastructure as code and CI/CD tools such as Jenkins or GitHub Actions
- Experience containerizing applications and managing them with orchestration platforms
Coveo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coveo and has not been reviewed or approved by Coveo.
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Healthcare Strength — Healthcare is considered comprehensive and good value, spanning medical, dental, vision, disability, mental‑health support, telemedicine, and an EAP. This breadth and perceived affordability stand out across locations.
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Leave & Time Off Breadth — Paid holidays, PTO/sick leave, volunteer time off, and work‑from‑home flexibility are commonly available. Flexible working hours and solid vacation policies in Canada further support work‑life balance.
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Parental & Family Support — Parental‑leave top‑ups, options to extend leave, and on‑site daycare in Quebec City indicate robust family support. These provisions complement caregiver‑friendly flexibility in day‑to‑day scheduling.
Coveo Insights
What We Do
Coveo powers the digital experiences of the world’s most innovative brands serving millions of people and billions of interactions across every digital experience. After a decade of enriching our market-leading platform with forward-thinking global enterprises, we know what it takes to gain a trusted AI-experience advantage. We strongly believe that the future is business-to-person, that experience is today’s competitive front line, a make or break for every business. For enterprises to achieve this AI-experience advantage at scale, it is imperative to have an Enterprise Spinal and composable ability to deliver AI semantic search and generative experiences at each customer and employee interaction.
