Senior Data Engineer to build and maintain multiple data pipelines and help architect modern data storage and processing

Our travel client is seeking a Senior Data Engineer to build and maintain multiple data pipelines and help architect modern data storage and processing

Calgary-based client. Candidates will be working in-office 4 days/week in downtown Calgary.

Must haves:

• 5+ years of experience as a Data Engineer with a focus on building and maintaining multiple Data pipelines
• Experience architecting modern data storage and processing, including SQL, NoSQL (Cosmos DB, PostgreSQL), Data Lakes (Azure Data Lake, Delta Lake, Apache Iceberg).
• Experience with Apache and/or Azure data platforms or similar, e.g. Fabric, Databricks, Snowflake, and Apache Hudi.
• Strong API development skills using GraphQL, REST, and/or gRPC for enabling data as a product.

Nice to Have

• Knowledge of ML, AI, and LLMs, including data engineering for model training and inference with Azure Machine Learning, Databricks ML, and MLflow.
• Hands-on experience in Notebooks (e.g. Jupyter, Databricks, Azure Synapse) for data workflows.
• Experience in real-time data streaming architectures.
• Exposure to data monetization strategies and analytics frameworks.
• Familiarity with federated data governance and self-serve data platforms.