Airswift is seeking a Data Engineer to work a 12-month contract with one of our major clients in Calgary, AB.

Key Responsibilities
Design, build, and optimize ETL/ELT workflows using KNIME Analytics Platform
Integrate data from relational databases, APIs, and cloud storage
Automate and productionize workflows using KNIME Business Hub
Develop and scale data pipelines using Databricks (Apache Spark)
Implement data quality checks, anonymization, and governance controls
Document workflows, data pipelines, and operational processes
Lead the design and delivery of scalable Databricks data pipelines using Spark, Delta Lake, and PySpark
Drive Lakehouse architecture across ingestion, transformation, and curated data layers
Define technical standards and best practices for batch and streaming data engineering
Optimize performance and cost efficiency of Spark workloads
Implement enterprise-grade data governance, security, and monitoring (e.g., access controls, catalogs)
Act as a senior technical leader and mentor within the data engineering team

What You Bring




Post-secondary degree in Computer Science, Software Engineering, or equivalent experience
7+ years of hands-on experience in data engineering
Robust experience with Databricks, Spark, and Lakehouse architectures
Advanced proficiency in PySpark, Python, and SQL
Advanced experience with KNIME Analytics Platform (nodes, components, workflow control)
Solid understanding of data modeling and ETL/ELT best practices
Experience building and supporting production-grade data pipelines at scale
Exposure to cloud platforms (Azure preferred, AWS acceptable)
Familiarity with DevOps / CI/CD practices for data workloads

Nice to Have
Experience with MLOps and deploying machine learning workloads in Databricks
Familiarity with data integration tools (e.g., Azure Data Factory, HVR, or similar)
Experience working in regulated or large enterprise settings
Exposure to streaming data architectures (Kafka, Structured Streaming)

📌 Data Engineer Calgary
🏢 Airswift
📍 Calgary