Data Engineer, Rzeczpospolita Polska

Data Engineer
Here is a complete and polished Job Description (JD) for the Data Engineer role based on your requirements:

Job Title: Data Engineer
Job Location: Poland (Remote)
Employment Type: B2B Contract

About the Role
We are looking for a skilled Data Engineer to join our team on a B2B contract basis for an exciting opportunity with our client, Coforge.

This role is fully remote with potential occasional travel on a need basis.

The ideal candidate will be based in Poland and have a strong background in data engineering, cloud technologies, and infrastructure automation.



As a Data Engineer, you will work closely with cross-functional teams to design, build, and maintain scalable data pipelines and platforms.

You ll play a critical role in enabling data-driven decision-making across the organization by ensuring data is accurate, accessible, and well-structured.Key

Responsibilities
Design, develop, and maintain scalable and reliable data pipelines on AWS.

Build and automate data workflows and ETL processes using Python and AWS services.

Collaborate with data scientists, analysts, and other engineers to understand data requirements and implement effective data solutions.

Use AWS CDK to provision and manage cloud infrastructure following best practices.

Implement CI/CD pipelines to streamline development and deployment workflows.

Ensure data quality, integrity, and governance across all systems.

Monitor data pipeline performance and troubleshoot issues proactively.

Participate in code reviews and contribute to continuous improvement efforts.

Must-Have Skills Strong experience as a Data Engineer working on cloud-based data solutions.

Proficiency in AWS services (e.g., S3, Glue, Lambda, Redshift, etc.).

Advanced Python programming skills for data processing and automation.

Hands-on experience with CI/CD tools and practices (e.g., GitLab CI, Jenkins).

Experience with AWS CDK (Cloud Development Kit) for infrastructure as code.

Solid understanding of software engineering best practices, including version control, testing, and documentation.



Preferred Qualifications Familiarity with data modeling and data warehousing concepts.

Experience with containerization (Docker, ECS/EKS) is a plus.

Knowledge of data security and compliance requirements.

Prior experience working in an Agile environment.


Python, ETL, AWS