Data Engineer
Core
Design and build modern data platforms, lead delivery across diverse industries, and help clients become data-driven businesses.
Role type
Client-facing data engineer (consulting)
Builds
Scalable data platforms, data pipelines, and cloud-native/Lakehouse architectures
Domain
Consulting / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, data pipeline development, cloud platform experience (Azure/AWS/GCP), data modeling, lakehouse architectures, dbt, Git/CI/CD
Preferred skills
Infrastructure-as-code (Terraform, Bicep, AWS CDK, Pulumi), data mesh patterns, mentoring
Technologies
Azure Data Factory, AWS Glue, Google Cloud Dataflow, Databricks, dbt, Microsoft Fabric, Azure Synapse Analytics, AWS Redshift, Google BigQuery, Snowflake, Delta Lake, PySpark
Responsibilities
Design scalable data platforms, develop and optimize data pipelines, modernize legacy data environments, engage with clients to conceptualize data solutions, support pre-sales activities, provide technical guidance and mentorship, lead technical reviews, identify automation opportunities, work with stakeholders to address data infrastructure needs
Seniority
Intermediate (3–5 years) to Senior (6–8+ years)