Data Engineer: End-to-End Recovery Data Pipelines

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

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.