Data Engineer – Recovery Data Management SQL, Python, Snowflake Warszawa, Gdańsk, Gdynia

DCG

Polska

Hybrid

PLN 140,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Private medical care
Co-financing for sports card
Dedicated consultant support

Job summary

DCG is seeking an experienced Data Engineer to gather and translate business requirements into scalable data solutions. You will design data models and pipelines using SQL, Python, Snowflake, dbt, and Airflow, while integrating APIs from various sources and ensuring robust production deployments.

The role requires at least four years in data engineering, strong coding skills, and a solid understanding of modern data architectures. Independent work and English fluency are essential.

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.
  • Strong understanding of data modelling and scalable data pipelines.
  • Experience with API integrations and modern data architecture principles.
  • Knowledge of software engineering practices (Git, CI/CD, automated testing, DevOps).
  • Ability to work independently and take ownership from concept to production.
  • 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 requirements to production deployment.
  • Build and enhance data solutions using SQL, Python, Snowflake, dbt, and Airflow.
  • Integrate data from enterprise APIs and other data sources.
  • Drive automation and apply modern engineering practices, including CI/CD and automated testing.
  • Ensure high standards of stability, reliability, performance, and maintainability of solutions.
  • Work independently, build domain knowledge in Recovery data area.

Skills

SQL
Python
Data modelling
Data pipelines
API integrations
DevOps
English fluency
Independence

Tools

Snowflake
dbt
Airflow
Git
CI/CD

Job 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

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