Data Engineer AWS @ apreel Sp. z o.o.

Data Engineer AWS

We are seeking a skilled and proactive Data Engineer (Mid or Senior) to join our growing data team. In this role, you will design, build, and maintain modern data pipelines and architecture in a cloud-native environment using AWS, Databricks, Python, and dbt. You’ll work closely with analysts, data scientists, and business stakeholders to ensure clean, scalable, and reliable data delivery across the organization.

Offer :

• Location : Poland / REMOTE
• Employment : B2B contract with apreel
• Rate : up to 170 zł / h

Required Skills & Experience :

Nice to Have :

Data Engineer AWS

We are seeking a skilled and proactive Data Engineer (Mid or Senior) to join our growing data team. In this role, you will design, build, and maintain modern data pipelines and architecture in a cloud-native environment using AWS, Databricks, Python, and dbt. You’ll work closely with analysts, data scientists, and business stakeholders to ensure clean, scalable, and reliable data delivery across the organization.

Offer :

Design, develop, and optimize ETL / ELT pipelines using Databricks and dbt  , Build and manage data models, data lakes, and data warehouses on AWS  , Write efficient and scalable code in Python to process large datasets  , Collaborate with cross-functional teams to understand data needs and deliver solutions  , Ensure data quality, observability, and performance across the entire pipeline  , Support continuous integration and deployment of data workflows  , Implement data governance, security, and compliance best practices  ] Requirements : AWS, Data pipelines, Databricks, Python, dbt, ETL, Data models, Data warehouses, Continuous integration, Security, AWS S3, Glue, Redshift, AWS Lambda, Data engineering, Spark, Git, GitHub, Jenkins, Airflow, Infrastructure as Code, Terraform, CloudFormation Tools : GIT, Jenkins.