Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
About the role
- Senior Data Engineer with a strong background in Google Cloud services at Valtech. Leading data engineering projects and developing highly available data pipelines.
Responsibilities
- Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
- Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
- Provide consultation and lead the implementation of complex programs
- Develop and maintain documentation relating to all assigned systems and projects
- Tune queries running over billions of rows of data running in a distributed query engine
- Perform root cause analysis to identify permanent resolutions to software or business process issues
- Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
- Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs.
- Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy.
- Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation.
Requirements
- Strong expertise in: Python - for building data pipelines, processing tasks, and automation
- SQL - Advanced SQL capabilities (nested fields, analytic functions).
- Hands-on experience with Core GCP Data Stack:
- BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery for advanced SQL, performance tuning, partitioning and clustering strategy, and production-grade curated marts and feature tables; working knowledge of BQML for scoring and evaluation in analytics workflows.
- Dataflow (Apache Beam)
- Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns (windowing/watermarks/triggers) used when near-real-time alerting is required.
- Pub/Sub: Experience with event-driven architecture and message queuing.
- Hands-on experience with Visualization & BI:
- Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax.
- Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization.
- Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (paid search performance monitoring, anomaly triage, and optimization workflows) and Executives (ROAS, conversion efficiency, budget pacing, and channel contribution reporting).
- Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery.
- Advanced English skills.
Benefits
- A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage.
- Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program.
- A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech.
- A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.
- Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year.
- Personal Technology Reimbursement – $30/month for every employee-offered on day 1.
- We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.
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