DCG
Data Engineer – Recovery Data Management SQL, Python, Snowflake Warszawa, Gdańsk, Gdynia
A data engineer role (recruited by agency DCG for a partner) building and maintaining scalable data models, pipelines, and integrations in the Recovery data domain. Core stack: SQL, Python, Snowflake, dbt, and Airflow, with end-to-end ownership from requirements through CI/CD-driven production deployment.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 4 years of professional experience in Data Engineering and Data Warehousing
- Strong hands-on experience with SQL and Python
- Practical experience working with Snowflake, dbt, and Airflow
- Strong understanding of data modelling and experience designing scalable and resilient data pipelines
- Experience with API integrations and modern data architecture principles
- Good understanding of software engineering practices, including Git, CI/CD, automated testing, and DevOps ways of working
- Ability to work independently and take ownership of solutions from concept to production
- Fluency in English (both written and spoken)
Full description
As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:
Responsibilities:
- Gather, analyse, and translate business requirements into effective data solutions
- Design, develop, and maintain scalable data models and resilient data pipelines
- Take end-to-end ownership of deliveries, from initial requirements through implementation, testing, and production deployment
- Build and enhance data solutions using SQL, Python, Snowflake, dbt, and Airflow
- Integrate data from enterprise APIs and other internal and external data sources
- Drive automation and apply modern engineering practices, including CI/CD and automated testing
- Ensure high standards of stability, reliability, performance, and long-term maintainability of delivered solutions
- Work independently, proactively identify improvements, and quickly build domain knowledge within the Recovery data area
Requirements:
- Minimum 4 years of professional experience in Data Engineering and Data Warehousing
- Strong hands-on experience with SQL and Python
- Practical experience working with Snowflake, dbt, and Airflow
- Strong understanding of data modelling and experience designing scalable and resilient data pipelines
- Experience with API integrations and modern data architecture principles
- Good understanding of software engineering practices, including Git, CI/CD, automated testing, and DevOps ways of working
- Ability to work independently and take ownership of solutions from concept to production
- Fluency in English (both written and spoken)
Offer:
- Private medical care
- Co-financing for the sports card
- Constant support of dedicated consultant
Personal Consulting Agency (License No. 4642)