Data Engineer with AWS Python, SQL, AWS, ETL/ELT, CI/CD

DCG Poland; Warszawa; On-site; PLN 111,600 - 167,400; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consultant

Job summary

DCG Poland is seeking a Data Engineer with AWS expertise to design scalable data pipelines and optimize data transformations. You will engage directly with business to understand requirements and ensure data quality in complex environments.

The ideal candidate has 4–6 years of experience, strong SQL and Python skills, and a solid understanding of data governance principles. The role includes benefits like private medical care and sports card co-financing.

Qualifications

• 4–6 years of experience as Data Engineer.
• Strong SQL and Python skills (production-grade code).
• Hands-on experience with AWS (Glue/S3/Lambda/Redshift).
• Knowledge of data governance and data quality principles.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Fluent in English (C1 level).

Responsibilities

• Design and implement scalable data pipelines on AWS.
• Develop data transformations using Apache Spark and SQL.
• Ensure data quality and performance in distributed environments.
• Engage with business for data engineering solutions.
• Maintain effective communication with stakeholders.

Skills

SQL

Python

AWS (Glue/S3/Lambda/Redshift)

Apache Spark

Data Management Principles

Agile

CI/CD Pipelines (GitLab)

Infrastructure as Code (Terraform)

PowerBI

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:

Data Engineer with AWS

Responsibilities:

• Design and implement scalable batch data pipelines on AWS using AWS Glue
• Develop and optimize data transformations using Apache Spark and SQL, ensuring performance and maintainability
• Design efficient data models for analytical and reporting use cases (data lakes, data warehouses)
• Ensure data reliability, quality, monitoring, and performance in distributed environments
• Engage directly with business to understand requirements and translate them into data engineering solutions
• Work independently while maintaining effective communication with stakeholders

Requirements:

• 4–6 years of experience as Data Engineer
• Strong SQL and Python skills (production-grade code)
• Hands‑on experience with AWS (Glue/S3/Lambda/Redshift)
• Knowledge of data management principles and best practices, including data governance, data quality, and data integration
• Practical experience in managing CI/CD pipelines (GitLab) and IaC (Terraform)
• Excellent problem‑solving and analytical skills, with the ability to identify and resolve complex data engineering issues
• Experience working in Agile environment
• Knowledge of English C1

Nice to have:

• Experience with using PowerBI

Offer:

• Private medical care
• Co‑financing for the sports card
• Constant support of dedicated consultant

Personal Consulting Agency (License No. 4642)