Data Engineer - Multiple Teams

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) 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. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

We are looking for an experienced Data Engineer with strong skills in GCP, Snowflake, dbt, Python, SQL, and Data Analytics to join our team. You will work on international data engineering and analytics projects, focusing on building scalable data solutions, modernizing data warehouses, and supporting data-driven business decisions.

Project areas include:

• Data Warehouse & BI Modernization – refactoring data models and supporting migrations between BI platforms (e.g., Looker to Omni).

• CRM Data Integration – developing and optimizing data models to support CRM migrations and integrations (e.g., HubSpot).

• Commercial & Growth Analytics – building analytical solutions for customer acquisition, retention, churn, revenue, and business performance.

• Data Quality & Self-Service Analytics – improving data reliability, implementing semantic layers, and enabling accessible analytics and AI-ready datasets.

🚀 Your main responsibilities:

• Design, develop, and optimize data pipelines and data models using modern cloud technologies.

• Build and maintain dbt models and complex data transformations using Python and SQL.

• Support data warehouse modernization, BI migrations, and integration of multiple data sources.

• Develop analytical datasets and reporting solutions to support business decisions.

• Ensure data quality, testing, monitoring, and documentation.

• Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions.