Data Engineer Role at Top AI Firm - dbt & GCP

Addepto; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Flexible remote work arrangements

Language classes

Psychotherapy / coaching support

Well-being and medical packages

Integration budget

Job summary

Addepto is seeking an experienced Data Engineer to join a remote, international team focused on AI-enabled data solutions for global clients. You will build scalable pipelines, modernize data warehouses, and enable data-driven decisions across enterprises.

The role emphasizes GCP, Snowflake, dbt, Python, SQL and BI tooling expertise, with opportunities to work on Looker, Omni, Power BI, and Tableau integrations. A strong English working environment and flexible remote options are provided.

Qualifications

• 3+ years in Data Engineering or Analytics Engineering.
• Strong hands-on with GCP (BigQuery) and Snowflake.
• Advanced Python and SQL with complex transforms.
• DBT proficiency for modelling and testing.
• Experience with data warehousing and ETL/ELT best practices.
• BI and reporting tools experience (Looker, Omni, Power BI, Tableau).
• Git, CI/CD, code reviews and automated testing.
• Knowledge of data quality, monitoring, and governance.

Responsibilities

• Design, develop, and optimize data pipelines and models.
• Build dbt models and data transformations with Python/SQL.
• Support warehouse modernization and BI migrations.
• Create analytical datasets and reporting solutions.
• Ensure data quality, testing, monitoring, and documentation.
• Collaborate with engineers, analysts, and stakeholders.

Skills

Data Engineering

Analytics Engineering

GCP BigQuery

Snowflake

Python

SQL

dbt

BI Tools

Looker

LookML

Omni

Power BI

Tableau

Airflow

Git CI/CD

Data Governance

Tools

Looker LookML Omni Looker Studio

Power BI

Tableau

Apache Airflow

Job description

Data Engineer Role at Top AI Firm - dbt & GCP — Remote

Career Trajectory & Skill Value: This role sits at the intersection of Data Engineering and Analytics Engineering — one of the fastest-growing specializations in the data industry. Proficiency in dbt + Snowflake + BigQuery is a highly marketable stack in 2024–2025, commanding $110,000–$150,000+ annually in the US market and €60,000–€90,000 in Western Europe. Working across multiple enterprise clients accelerates skill diversification beyond what a single-company role offers.

Green Flags:

• Partnerships with Databricks and Anthropic for certifications — directly boosts market value.
• Autonomous culture with a dedicated onboarding buddy signals low micromanagement.
• Exposure to AI-ready data solutions positions you well for the LLM/AI pipeline wave.

Areas to Probe in Interview:

• No salary range is disclosed — research Polish/remote market rates and negotiate firmly.
• Consulting roles can mean context-switching between multiple projects simultaneously; clarify typical project load.
• Ask about work-life balance during peak client delivery phases.

Work-Life Balance Signals: Flexible remote arrangements, language classes, psychotherapy/coaching support, and an autonomous culture are strong indicators of a mature, employee-conscious company. The well-being package (psychotherapy, sports, medical) suggests awareness of burnout risks common in consulting environments.

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. 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.

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.

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.
• 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 coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Is this Data Engineer position fully remote? Yes, Addepto offers flexible work arrangements that allow you to work remotely or from modern offices and coworking spaces. The posting does not restrict specific countries, though European timezone overlap is likely expected for client collaboration. What is the minimum experience required for this role? The role requires 3+ years of commercial experience in Data Engineering or Analytics Engineering, with strong hands‑on skills in GCP (BigQuery), Snowflake, dbt, Python, and SQL. Does Addepto provide training and certifications? Yes, Addepto sponsors training and conference attendance, and has partnerships with Databricks and Anthropic that provide industry‑leading training materials and certifications. What BI tools experience is required or preferred? The role requires hands‑on experience with at least one BI/reporting tool such as Looker, LookML, Omni, Power BI, or Tableau. Experience with BI migrations is a nice-to‑have. What is the English language requirement for this position? A minimum C1 level of English communication skills is required, as the role involves working with international clients and cross‑functional stakeholders.

Remote work & career advice that actually works.