Data Engineer (GCP, Snowflake, dbt) in Warsaw

Home » Data Engineer (GCP, Snowflake, dbt) Department: Warsaw · Cracow · Wroclaw · Bialystok · Remote 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. Discover our perks and 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. In this position, you will:

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. What impressed me when I joined Addepto is the positive atmosphere, open culture, and professionalism that’s everywhere around here. It is a place where everyone can freely exchange insights, test out ideas, and discuss them with experts from different backgrounds. On top of that, you can feel the dedication to constantly learning, developing, and keeping an eye on the latest technology and trends in the data realm. In my view, it’s this mix of qualities that makes Addepto a great place for anyone wanting to deepen their knowledge, and grow, both personally and professionally. Jakub Bzdęga

Senior Data Engineer – Addepto Meet us Discover our values and learn about the experiences of our team members! We are recognized as one of the best AI, BI, and Big Data consultants

We helped multiple companies achieve their goals, but - instead of making hollow marketing claims here - we encourage you to check our Clutch scoring.