Data Engineer: Scalable Pipelines & Training +Benefits

Winnipeg Richardson International Airport; Winnipeg; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading airport authority in Winnipeg is seeking a Data Engineer to build and manage data pipelines supporting analytics initiatives. This role emphasizes optimizing data pipelines and collaboration with internal and external stakeholders. Candidates should have a background in Computer Science, extensive experience in Python and SQL, and a strong focus on data quality and automation. Benefits include a competitive salary and comprehensive health coverage.

Benefits

Highly competitive salary

Full Benefits package of Health, Dental & Vision

DC Pension Plan

Healthcare Spending Account

Lifestyle Spending Account

Employee Assistance Program

Training & Development opportunities

Qualifications

• 5+ years of Python, R, or similar development experience.
• 5+ years of SQL experience.
• 5+ years experience with schema design and dimensional data modeling.
• Strong customer service orientation.
• Ability to manage and communicate data plans.

Responsibilities

• Design and implement scalable data pipelines for data management.
• Collaborate on compliance and data governance.
• Develop systems to monitor data quality.
• Automate data processes to enhance efficiency.
• Train users in data pipelining and preparation methods.

Skills

Python

SQL

Data modeling

APIs

Data quality monitoring

Collaboration

Troubleshooting

Communication

Cloud platforms

Education

Post-secondary education in Computer Science or related discipline

Tools

Boomi

MuleSoft

Informatica

Microsoft Data Fabric

Databricks

Snowflake

Job description

A leading airport authority in Winnipeg is seeking a Data Engineer to build and manage data pipelines supporting analytics initiatives. This role emphasizes optimizing data pipelines and collaboration with internal and external stakeholders. Candidates should have a background in Computer Science, extensive experience in Python and SQL, and a strong focus on data quality and automation. Benefits include a competitive salary and comprehensive health coverage.