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Senior Data Engineer (AWS / ETL) @ Square One Resources

Summary

Design and build large-scale data pipelines and cloud data platforms for a global pharma company using AWS, ETL/ELT, and data lakes.

For our global client in the pharmaceutical industry, we are looking for an experienced Data Engineering Practitioner to join a strategic, enterprise-scale data transformation initiative.

In this role, you will play a key part in designing and delivering modern data platforms that support business-critical processes. You will be responsible for architecting scalable data solutions, driving technical excellence, and contributing to the long-term data strategy within a highly collaborative, international environment.


  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with AWS cloud services.
  • Proven expertise in designing and implementing enterprise-scale data platforms.
  • Extensive experience with database technologies and ETL/ELT development.
  • Strong knowledge of distributed data systems and Big Data technologies.
  • Experience designing scalable data warehouses and data lakes.
  • Ability to identify and resolve complex performance and scalability issues.
  • Strong understanding of data architecture principles and data governance.
  • Excellent communication skills and experience collaborating with cross-functional teams.
  • Scrum Master experience is considered a plus.
  • For our global client in the pharmaceutical industry, we are looking for an experienced Data Engineering Practitioner to join a strategic, enterprise-scale data transformation initiative.

    In this role, you will play a key part in designing and delivering modern data platforms that support business-critical processes. You will be responsible for architecting scalable data solutions, driving technical excellence, and contributing to the long-term data strategy within a highly collaborative, international environment.

    ,(Design, develop, and implement large-scale data engineering solutions and enterprise data architectures., Build and optimize scalable data warehouses, data lakes, and advanced ETL/ELT pipelines., Ensure the scalability, security, resilience, and performance of critical data platforms., Troubleshoot complex data processing and performance challenges across distributed systems., Drive technical standards and best practices within the engineering team., Mentor and support other engineers, fostering technical excellence across the organization., Collaborate with architects, technical leaders, and business stakeholders to define and execute the organization's data strategy., Contribute to data governance initiatives and the continuous evolution of the enterprise data ecosystem.) Requirements: AWS, ETL, Data Lake Additionally: Sport subscription, Private healthcare.

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