Data Engineer (GCP)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company focuses exclusively on Artificial Intelligence and Big Data, helping organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Addepto has developed its own product, ContextClue, and contributes open-source solutions to the AI community. It is recognized by Forbes as one of the top 10 AI consulting companies worldwide. Addepto is part of KMS Technology, a US-based global technology group, combining deep AI specialization with enterprise-scale delivery capabilities.

• 3+ years of experience in a Data Engineer or similar role.
• Proficiency in Python for data processing and scripting.
• Strong experience with Google Cloud Platform, especially BigQuery, Compute Instances, and IAM (Identity and Access Management).
• Experience with Terraform and Terragrunt for infrastructure automation.
• Hands-on experience with Dagster or similar orchestration frameworks.
• Advanced knowledge of Looker and Looker Studio.
• Familiarity with Docker and GitHub Actions for containerization and automation.
• Solid understanding of DBT and SQL.
• Experience with Airbyte or other ETL/ELT platforms.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Excellent written and verbal communication skills in English.
• Previous experience in a consulting or client-facing role.

Nice to have:

• Knowledge of data modeling best practices (e.g., Kimball, Data Vault).
• Familiarity with data quality frameworks and data observability tools.

• Design, develop, and maintain scalable data pipelines and ETL processes in Google Cloud Platform (GCP).
• Collaborate with BI teams to develop semantic models and visualizations in Looker and Looker Studio.
• Work with infrastructure as code using Terraform and Terragrunt.
• Build orchestrated workflows with Dagster for reliable and repeatable data processing.
• Integrate and manage data sources via Airbyte or similar ETL tools.
• Optimize and maintain BigQuery datasets and compute resources.
• Ensure high-quality data through testing, monitoring, and CI/CD using GitHub Actions.
• Contribute to overall data architecture, best practices, and documentation.
• Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions that align with reporting and strategic goals.

Candidates must be eligible to work in the EU.