Data Engineer

Free resume; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Addepto is seeking an experienced Data Engineer to join our AI-focused data teams. You will design and optimize data pipelines, build dbt models, and work with GCP and Snowflake to support analytics across international client projects.

You will collaborate with data scientists, analysts, and engineers to modernize data warehouses, enable BI migrations, and deliver scalable, AI-ready data solutions for business decisions.

Qualifications

• Experience building scalable data pipelines and analytics solutions.
• Hands-on with cloud data warehouses, modeling, and ETL/ELT processes.
• Proficient in Python and SQL with data transformation optimization.

Responsibilities

• Design, develop, and optimize data pipelines and models in cloud environments.
• Build and maintain dbt models and complex data transformations.
• Support data warehouse modernization and BI migrations, integrating multiple data sources.

Skills

Data pipelines

Cloud data engineering

GCP (BigQuery)

Snowflake

Python

SQL

dbt

Data analytics

Looker/Power BI/Tableau

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Looker

LookML

Omni

Power BI

Tableau

Apache Airflow

Git

CI/CD

Job description

Job Description

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.

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.

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.

What you'll need to succeed in this role:

• 3+ years of commercial experience in Data Engineering or Analytics Engineering.
• Strong hands-on experience with GCP (BigQuery) and Snowflake.
• Advanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization.
• Strong practical experience with dbt, including developing, testing, and optimizing data models.
• Solid understanding of data warehousing, data modelling, ETL/ELT processes , and data architecture best practices.
• Hands-on experience with BI and reporting tools, such as Looker, LookML, Omni, Power BI, or Tableau.
• Experience with workflow orchestration tools, such as Apache Airflow or equivalent solutions.
• Experience with Git, CI/CD pipelines, code reviews , and automated testing.
• Good understanding of data quality, monitoring, and data governance practices.
• Strong analytical and problem-solving skills, with the ability to work independently and collaborate with business stakeholders.

Nice to have:

• Knowledge of CRM systems, such as HubSpot or Salesforce.
• Experience with semantic layers, BI migrations, or data warehouse refactoring.
• Background in fintech, SaaS, or commercial analytics.
• Familiarity with A/B testing, product analytics, or AI-ready data solutions.
  

Work in a supportive team of passionate enthusiasts of AI & Big Data.

Engage with top-tier global enterprises and cutting-edge startups on international projects.

Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.Â

Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including partnerships with Databricks and Anthropic, which offer industry-leading training materials and certifications.

Participate in team-building events and utilize the integration budget.

Celebrate work anniversaries, birthdays, and milestones.

Access medical and sports packages, eye care, and well-being support services, including psychotherapy and co