Senior data engineer

Xplore Inc.; Markham; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading broadband provider in Canada seeks a Senior Data Engineer to design and optimize their data lakehouse platform. The candidate will lead data pipeline engineering efforts, mentor junior engineers, and ensure data governance. The role requires proficiency in Python and SQL, along with experience in cloud platforms like Databricks and Azure. Applications are encouraged from individuals who can contribute to enhancing data services for rural living.

Qualifications

• 5-7 years of experience in data engineering.
• Extensive experience with modern platforms.
• Strong expertise with lakehouse/data warehouse and streaming frameworks.

Responsibilities

• Architect and implement data pipelines from on-prem and cloud systems.
• Model and optimize data flows across medallion lakehouse layers.
• Implement and enforce governance, lineage, and data quality frameworks.

Skills

Python

SQL

Data governance

CI/CD

Data observability

Mentorship

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Databricks

Azure

SQL Server

Oracle

Salesforce APIs

Job description

As a Senior Data Engineer, you will play a key role in designing, building, and optimizing Xplore’s enterprise data lakehouse platform. You’ll lead delivery of ingestion pipelines, implement data governance and observability, and act as a subject matter expert across data engineering best practices. You will mentor intermediate and junior engineers, contribute to platform standards, and partner with analytics and AI teams to deliver high-quality, trusted datasets.

Key responsibilities include:

• Architect and implement data pipelines (batch & streaming) from on-prem and cloud systems (e.g., SQL Server, Oracle, Salesforce APIs, telemetry).
• Model and optimize data flows across medallion lakehouse layers (bronze/silver/gold).
• Implement and enforce governance, lineage, cataloging, and data quality frameworks.
• Optimize ELT processes and distributed compute performance (e.g., Spark, Databricks).
• Contribute to CI/CD, infrastructure‑as‑code, observability, and cost governance practices.
• Mentor engineers, conduct code reviews, and drive knowledge‑sharing.
• Partner with data science, BI, and AI teams to provision clean and well‑documented data products.
• Translate business requirements into scalable data engineering solutions.

The ideal candidate will possess:

• 5-7 years of experience in data engineering.
• Proficiency in Python and SQL, and performance tuning at scale.
• Extensive experience with modern platforms (e.g., Databricks, Azure, cloud storage).
• Strong expertise with lakehouse/data warehouse, distributed compute, and streaming frameworks with ingestion from APIs, Salesforce, and on‑prem databases.
• Experience with governance and metadata management tools.
• Familiarity with Canadian privacy and compliance frameworks (PIPEDA/CPPA, Law 25).
• Knowledge of CI/CD, infrastructure‑as‑code, and data observability solutions.
• Strong communication skills and demonstrated mentorship experience.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Company Overview:

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world‑class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.