Data Engineer

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.

🎯

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.

• Excellent

  English communication skills (C1 minimum)

  .

➕ 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.
  

🎁 Discover our perks & benefits:

• 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.

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