Data Engineer – Recovery Data Management

DCG; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Dedicated consultant support

Job summary

DCG is seeking a Data Engineer – Recovery Data Management to gather and translate business requirements into scalable data solutions. You will design data models and resilient pipelines, owning end-to-end deliveries from concept to production, while leveraging SQL, Python, Snowflake, dbt, and Airflow.

You will integrate diverse data sources, drive automation, and uphold robust engineering practices, including CI/CD and automated testing, ensuring long-term maintainability and performance.

Qualifications

• Minimum 4 years of professional experience in Data Engineering and Data Warehousing.
• Strong hands-on experience with SQL and Python.
• Practical experience with Snowflake, dbt and Airflow.
• Fluency in English (written and spoken).

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.

Skills

SQL

Python

Data modeling

Data pipelines

CI/CD

APIs integration

Tools

Snowflake

dbt

Airflow

Job description

Stanówko: Data Engineer – Recovery Data Management

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