Senior Data Engineer (AWS) - SAP Pipelines & DataOps

DCG; Województwo mazowieckie; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consul­t

Employee referral program

Job summary

DCG is seeking a Senior Data Engineer (AWS) to design and build ingestion pipelines for SP-API and Data Kiosk sources, and to integrate SAP data into the target data architecture.

You will develop and maintain ETL processes using AWS Glue, implement DataOps quality gates, monitor pipeline performance, and collaborate with architects and analytics engineers to ensure outputs align with downstream data models.

Qualifications

• AWS Certified Data Engineer-Associate
• Hands-on experience building data ingestion pipelines in AWS
• Experience with AWS Glue for ETL development
• Understanding of data quality frameworks and DataOps practices
• Experience integrating and mapping SAP data
• Professional-level English enabling smooth business communication

Responsibilities

• Design and build ingestion pipelines for SP-API and Data Kiosk sources
• Integrate and map data from SAP systems into the target data architecture
• Develop and maintain ETL processes using AWS Glue
• Implement and maintain DataOps quality gates to ensure data reliability and consistency
• Collaborate with architects and analytics engineers to align pipeline outputs with downstream data models
• Monitor, troubleshoot, and optimize data pipeline performance

Skills

AWS data engineering

Data quality

DataOps practices

Education

AWS Certified Data Engineer-Associate

Tools

AWS Glue

SP-API

SAP data integration

Data Kiosk data sources

CI/CD for data pipelines

Data quality tools

Job description

DCG is seeking a Senior Data Engineer (AWS) to design and build ingestion pipelines for SP-API and Data Kiosk sources, and to integrate SAP data into the target data architecture.

You will develop and maintain ETL processes using AWS Glue, implement DataOps quality gates, monitor pipeline performance, and collaborate with architects and analytics engineers to ensure outputs align with downstream data models.