Data Engineering - Data Ingestion & Infrastructure
About The Position
Data Foundation is the managed ingestion service for TELUS. This team is responsible for getting data into the platform, ensuring it flows smoothly, and guaranteeing its quality before any downstream issues arise. They manage multiple deployments across TELUS, Health, Digital, and Agriculture under a single operating model, owning the entire process from source to trusted raw data. In this role, you will design, develop, and support data pipelines and the platform they run on. You will build ingestion flows, contribute to the onboarding tooling used by all TELUS teams to bring data into the platform, and actively participate in the SRE practice that maintains system operations. You will work on greenfield deployments, legacy system migrations, and the standards that govern data movement across TELUS. Additionally, you will mentor junior team members and lead the resolution of critical operational issues. This is a role for an individual who takes ownership and collaborates effectively with others.
Requirements
- 4+ years of data engineering experience
- 2+ years working on data solution architecture and design
- Intermediate proficiency in Python or Java, including pipeline development
- SQL and database proficiency
- Familiarity with quality assurance and site reliability engineering practices for data solutions
- Working knowledge of infrastructure-as-code (Terraform, Ansible, Pulumi, or equivalent)
- Data modeling experience
- Bachelor's degree in Software Engineering, Computer Science, Mathematics, or a related field (or equivalent experience)
Nice To Haves
- Data Engineering certification
- Experience with Kafka or streaming data movement patterns
- GCP and BigQuery experience
- Familiarity with Kubernetes/GKE
- Background in a regulated industry (healthcare, telecommunications) or compliance-driven data environments
- Experience contributing to or maintaining a shared internal platform used by multiple teams
Responsibilities
- Design and build data extraction, ingestion, and pipeline flows across deployments (TELUS, Health, Digital, Agriculture), both cloud and on-prem where applicable
- Implement data contracts at the ingestion layer ensuring data arrives, flows on schedule, and meets quality standards before it becomes available as raw data
- Contribute to the inner-source codebase; participate in solution reviews and code reviews for pipelines contributed by Health, Digital, and other teams
- Develop test strategies and site reliability engineering measures for data pipelines and solutions, build automated assurance in, not manual checks after
- Lead resolution of critical operations issues including post-implementation reviews and blameless post-mortems
- Participate in on-call rotation
- Build and maintain the self-serve onboarding tooling that source teams and business units use to bring new data sources into the platform
- Perform application impact assessments, requirements reviews, and develop work estimates for onboarding requests
- Contribute to the onboarding standard, ensuring it stays consistent and usable across all deployments
- Apply working knowledge of infrastructure-as-code to contribute to the shared GKE cluster and deployment pipelines
- Participate in agile development scrums and solution reviews
- Mentor L1 and L2 Data Engineering Specialists on the team
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
