Data Engineering - Data Ingestion & Infrastructure

Join our team and what we'll accomplish together

Data Foundation is the managed ingestion service for TELUS — the team that gets data into the platform, keeps it flowing, and guarantees its quality before anyone downstream feels a problem. We operate multiple deployments across TELUS, Health, Digital, and Agriculture under one operating model, and we own everything from source to trusted raw data.

In this role, you will design, develop, and support data pipelines and the platform they run on. You'll build ingestion flows, contribute to the onboarding tooling every team at TELUS uses to bring data into the platform, and play an active role in the SRE practice that keeps everything running. You'll work across greenfield deployments, legacy system migrations, and the standards that define how data moves across TELUS.

You'll also mentor junior team members and lead resolution of critical operational issues. This is a role for someone who takes ownership and brings others along.

What you will do

Pipeline & Ingestion Engineering

• 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

Site Reliability & Data Quality

• 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 

Onboarding Tooling & Standards

• 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

Platform & Infrastructure

• 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

What you bring

• 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)

Great-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