Slalom’s consulting teams need data engineers skilled in client delivery and cloud modernization. The hybrid arrangement requires proximity to a Slalom location. This Data Engineer role partners with clients, architects, and multidisciplinary teams to deliver maintainable solutions. You will translate business and technical requirements into development tasks and reusable engineering patterns. Technologies may include Spark, Kafka, Airflow, dbt, Terraform, Kubernetes, and cloud platforms. Key Responsibilities:

Collaborate with clients during technical discovery and demonstrations Translate business requirements into actionable development tasks Modernize data environments and migrate cloud workloads Contribute reusable patterns, accelerators,



and technical communities Document, test, monitor, and secure engineering solutions Requirements:

Consulting or client-facing delivery experience may help Experience with cloud, Databricks, or Snowflake platforms Proficiency in SQL, Python, Java, or Scala Experience with data modeling, ETL/ELT, or distributed processing Ability to explain technical concepts to wide-ranging audiences Use cloud modernization, software engineering, and consulting skills to deliver trusted data solutions with Slalom clients.

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📌 Consulting Data Engineer Cloud Modernization (Vancouver)
🏢 Slalom
📍 Vancouver