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Offer summary
(Summary generated by AI based on the full job description)
The project involves designing scalable ETL/ELT pipelines and data infrastructure supporting analytical products. Required skills include Python, PostgreSQL, AWS (S3, EKS, Glue, Athena) experience, along with distributed data processing, orchestration tools (AWS Step Functions, Prefect) and data quality monitoring. Responsibilities cover designing, optimizing and maintaining data systems, query performance enhancement and cloud infrastructure integration on AWS.
Data Engineer (AWS / PostgreSQL / AWS / AI)
Company: SQUARE ONE RESOURCES sp. z o.o.
from: 25 May 2026
to: 24 June 2026
100 - 140 złnet (+ VAT)/ hr.B2B contract (full-time)
Offer parameters
level:mid • senior
working mode:remote
Warszawa, Mokotów
Requirements
Expected technologies
AWS
Python
Athena
EKS
PostgreSQL
ETL
ELT
LLM
Our requirements
- Minimum 3 years of commercial experience in Data Engineering roles.
- Strong hands-on experience with Python for building data pipelines, data validation, and orchestration frameworks.
- Advanced knowledge of PostgreSQL: schema design, indexing strategies, query optimization, and performance tuning.
- Proven experience in ETL/ELT pipeline design and production-grade implementations.
- Practical experience with distributed data processing and storage technologies (e.g., AWS Athena, Apache Spark or similar).
- Strong experience with AWS services: S3, EKS, Glue, Athena.
- Experience with modern data architectures including data lakehouse patterns and ELT approaches.
- Knowledge of data warehousing modeling techniques, including dimensional modeling and reusable transformation patterns.
- Strong understanding of Git workflows, code review processes, testing strategies, and CI/CD pipelines.
- Experience with workflow orchestration tools (e.g., AWS Step Functions, Prefect, Dagster or similar).
- Experience with data quality frameworks and data observability solutions.
- Exposure to streaming or near real-time data processing (e.g., Kafka, Spark Streaming, Pub/Sub).
- Ability to use LLM-based AI agents effectively to improve engineering productivity.
- Strong systems thinking with focus on scalability, reliability, and correctness.
- Ability to balance delivery speed with maintainability, cost efficiency, and data quality.
- Strong written and verbal communication skills in collaboration with both technical and business stakeholders.
- Ability to independently own end-to-end data products, from architecture to production support.
Your responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines for ingestion, transformation, and delivery of data across the organization.
- Develop and optimize distributed data processing workflows in Python for large-scale data transformation and aggregation.
- Design, manage, and optimize PostgreSQL schemas, tables, indexes, and query performance for analytics and reporting use cases.
- Build and maintain Python-based data workflows for orchestration, validation, and reliable cross-environment data delivery.
- Implement monitoring, validation, and observability mechanisms to ensure data quality, timeliness, and completeness.
- Design and manage cloud-based data infrastructure on AWS.
- Collaborate with data analysts and business stakeholders to translate requirements into scalable and maintainable data products.
- Maintain technical documentation covering data pipelines, data models, lineage, and infrastructure components.
- Troubleshoot data pipeline issues, perform root cause analysis, and implement corrective actions.
About the project
We are looking for a Senior Data Engineer with strong expertise in Python and distributed data processing technologies. The role focuses on designing, building, and maintaining scalable data pipelines and data infrastructure supporting analytical products within the organization.
The objective is to deliver reliable, high-performance data systems by developing robust ETL/ELT processes, optimizing data storage and processing layers, and ensuring high data quality, availability, and scalability across the organization.
Start date: 01.06.2026
Contract duration: 4 months with possible extension
This is how we organize our work
This is how we work
at the client's site
SQUARE ONE RESOURCES sp. z o.o.
At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.
This is how we work
Data Engineer (AWS / PostgreSQL / AWS / AI)
100–140 zł / hr. (B2B)
I apply to:
SQUARE ONE RESOURCES sp. z o.o.
Warszawa, Mokotów
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