Must have

• Python

• dbt

• ETL

• English (C1)

Nice to have

• Snowflake

Requirements description

Your Profile:

• 4+ years of experience as a Data Engineer
• Practical experience with DBT – creating models, tests, and documentation (must have) Good knowledge of Python (must have)
• Understanding of ETL/ELT processes
• Experience integrating data from multiple sources
• Strong English communication skills (technical and business) (at least B2) Ability to work independently with large datasets and complex regulatory requirements

Nice to have:

• Experience with Snowflake

Offer description

About company:

At Idego Group, you’ll work with people who find pleasure in programming and have deep knowledge about a variety of technologies. You’ll work for our clients worldwide and provide support in great software development, including IoT, machine learning, and blockchain-related projects. You will work in a relaxed atmosphere using the latest technology, software, and Agile methodology of project management. At Idego, we are trying to provide the perfect conditions for work and personal development.

About project:

We are looking for Mid+ Data Engineers to join our team and work on a variety of projects built on modern data-processing technologies. We offer opportunities across different industries and project durations, depending on the candidate’s experience and preferences.

Our perks:

• Work environment with zero micromanagement - we cherish autonomy
• Remote work (unless you want to work from our HQ Gdynia), recruitment & onboarding ->People from the Tri-City are welcome to join us for lunch and play table football.
• Experienced team from 4 to 15+ years in commercial projects
• Unique memes channel
• Private medical insurance and Medicover Sport
• We want you to join our team. We are neither the agency giving you projects from time to time, nor a huge corporation where you are a "dev XYZ". At Idego - you matter!

Your responsibilities

1. Design and implement data models in DBT following regulatory standards Process data from multiple sources, standardize it.
2. Collaborate with analysts and data architects to develop business logic
3. Integrate data with external systems (e.g., S3, provider APIs)
4. Work closely with an international team (DevOps, Data Engineers, Product Owner, Scrum Master)
5. Actively participate in project meetings – daily standups, data modeling sessions