Senior ETL Engineer - AWS Cloud & Data Platform

Sii Poland; Województwo pomorskie; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Internal trainings

Team events

Job summary

Sii Poland is seeking a Senior ETL Developer to drive the cloud transformation of a data-intensive analytics platform. Design scalable architectures, modernize legacy components, and optimize ETL processes in AWS to ensure performance, reliability, and cost-efficiency.

Collaborate with software engineers, analysts, and QA to deliver high-quality solutions, implement AWS Glue and Lambda ETL pipelines, and promote best practices in SQL, data modeling, and monitoring in an English-speaking team.

Qualifications

• 5+ years of experience in ETL development.
• Strong Microsoft SQL Server skills with advanced querying and data modeling.
• Hands-on SSIS experience for ETL design and optimization.
• Practical experience building ETL processes in AWS, including Glue and Lambda.
• Proven ability to optimize stored procedures and monitor data flows.
• Advanced level of English.

Responsibilities

• Contributing to the cloud transformation of a data-intensive analytical platform by designing scalable architectures and modernizing legacy components.
• Leading continuous technological evolution by proposing and implementing modern frameworks and architectural improvements.
• Expanding analytical and predictive capabilities by developing and integrating advanced statistical methods and machine learning models.
• Working closely with a team of software engineers and analysts to design and build software solutions that meet business needs.
• Ensuring adherence to team design and coding procedures and standards.

Skills

ETL development

SQL Server

SSIS

AWS Glue

AWS Lambda

Data modeling

SQL best practices

English

Tools

AWS

SSIS

SQL Server

Job description

Sii Poland is seeking a Senior ETL Developer to drive the cloud transformation of a data-intensive analytics platform. Design scalable architectures, modernize legacy components, and optimize ETL processes in AWS to ensure performance, reliability, and cost-efficiency.

Collaborate with software engineers, analysts, and QA to deliver high-quality solutions, implement AWS Glue and Lambda ETL pipelines, and promote best practices in SQL, data modeling, and monitoring in an English-speaking team.