ETL Data Engineering Practitioner

SQUARE ONE RESOURCES sp. z o.o.; Warszawa; On-site; PLN 200,000 - 340,000; Full time

Job summary

SQUARE ONE RESOURCES sp. z o.o. in Warszawa is seeking an experienced Data Engineer to design and implement scalable data pipelines and cloud-based platforms on AWS.

You will own data architectures, work on ETL/ELT workflows, and mentor teammates while collaborating with business stakeholders to translate requirements into robust data solutions.

Strong Python and SQL skills, Big Data technologies, and a focus on performance, security and reliability are essential for success in this role.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Hands-on experience with AWS and cloud-based data platforms.
• Excellent knowledge of Python and SQL.
• Solid ETL/ELT and data integration experience.
• Experience with Big Data technologies and distributed systems.
• Experience designing scalable Data Warehouses and/or Data Lakes.
• Strong database knowledge and performance optimization.
• Experience designing and implementing complex data engineering solutions.
• Understanding of data architecture, scalability, resilience and security.
• Ability to troubleshoot complex performance-related issues.
• Experience taking technical ownership and influencing architectural decisions.
• Good communication and collaboration with technical and business stakeholders.

Responsibilities

• Design and implement scalable data engineering solutions and architectures.
• Develop and optimize advanced ETL/ELT pipelines and data workflows.
• Work with large-scale data processing using AWS and Big Data technologies.
• Design and maintain Data Warehouses and Data Lakes and data processing frameworks.
• Troubleshoot performance and scalability issues across data platforms.
• Work with relational databases and optimize database performance.
• Ensure data platforms are scalable, secure, resilient and reliable.
• Contribute to data architecture standards, best practices and technical decisions.
• Collaborate with other teams and stakeholders to translate requirements into data solutions.
• Contribute to data governance and knowledge sharing.
• Participate in architectural discussions and help shape the long-term data platform direction.

Skills

AWS

Python

SQL

ETL/ELT

Big Data

Data Warehouses

Data Lakes

DB performance

Data architecture

Technical ownership

Stakeholder comms

Job description

Nasze wymagania:

• 5+ years of professional experience in Data Engineering.
• Strong hands-on experience with AWS and cloud-based data platforms.
• Excellent knowledge of Python and SQL.
• Solid experience with ETL/ELT processes and data integration.
• Experience with Big Data technologies and distributed systems.
• Experience designing scalable Data Warehouses and/or Data Lakes.
• Strong database knowledge and experience with database performance optimization.
• Experience designing and implementing complex data engineering solutions.
• Understanding of data architecture, scalability, resilience and security.
• Ability to troubleshoot complex technical and performance-related issues.
• Experience taking technical ownership and influencing architectural decisions.
• Good communication skills and the ability to collaborate with both technical and business stakeholders.

Mile widziane:

• Experience mentoring other engineers or acting as a technical lead.
• Experience with Scrum Master responsibilities.

O projekcie:

We are looking for an experienced Data Engineer to join an international project focused on designing and developing scalable data engineering solutions and cloud-based data platforms. You will work on complex data processing and integration solutions, with a strong focus on AWS, ETL/ELT, distributed data processing, databases and data architecture. The role combines hands-on engineering with technical ownership, architecture and mentoring responsibilities.

Zakres obowiązków:

• Design and implement scalable data engineering solutions and data architectures.
• Develop and optimize advanced ETL/ELT pipelines and data processing workflows.
• Work with large-scale data processing using AWS and Big Data technologies.
• Design and maintain Data Warehouses, Data Lakes and data processing frameworks.
• Troubleshoot complex performance and scalability issues across data platforms.
• Work with relational databases and optimize database performance.
• Ensure data platforms are scalable, secure, resilient and reliable.
• Contribute to data architecture standards, best practices and technical decisions.
• Collaborate with other technical teams and business stakeholders to understand requirements and translate them into effective data solutions.
• Contribute to data governance and the continuous improvement of the organization's data infrastructure.
• Support and mentor less experienced Data Engineers and contribute to technical knowledge sharing.
• Participate in architectural discussions and help shape the long-term direction of the data platform.