This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Opportunity: We are currently partnering with several leading technology consultancies and data-driven organisations who are looking to strengthen their engineering teams with talented Senior Data Engineers. These roles offer the chance to take ownership of critical data infrastructure within forward-thinking environments that prioritise innovation, scalability, and high-performance engineering. The Role: In this position, you will be responsible for the end-to-end lifecycle of robust, scalable data pipelines, ensuring that our clients' data systems are efficient, reliable, and capable of supporting complex analytical and operational requirements. You will work closely with cross-functional teams to translate business needs into technical solutions, driving the evolution of cloud-based systems while maintaining rigorous standards for data quality, governance, and infrastructure automation. What We're Looking For: Extensive experience in designing, building, and maintaining production-grade data pipelines. Proficiency in Python and SQL for data manipulation and transformation. Strong understanding of cloud architecture and services. Experience with DevOps practices, including CI/CD and infrastructure as code. Proven ability to design and optimise data models and architectures. Experience implementing data quality, governance, and compliance standards. Excellent documentation and technical communication skills. Demonstrable ability to collaborate effectively with cross-functional teams. Apply Now: If you are a Senior Data Engineer looking for your next challenge, we would love to hear from you. As we work with multiple clients across various sectors, we have several similar opportunities available and can help you find the role that best aligns with your career goals.
Job Responsibility
End-to-end lifecycle of robust, scalable data pipelines
Ensure data systems are efficient, reliable, and capable of supporting complex analytical and operational requirements
Work closely with cross-functional teams to translate business needs into technical solutions
Drive the evolution of cloud-based systems while maintaining rigorous standards for data quality, governance, and infrastructure automation
Requirements
Extensive experience in designing, building, and maintaining production-grade data pipelines
Proficiency in Python and SQL for data manipulation and transformation
Strong understanding of cloud architecture and services
Experience with DevOps practices, including CI/CD and infrastructure as code
Proven ability to design and optimise data models and architectures
Experience implementing data quality, governance, and compliance standards
Excellent documentation and technical communication skills
Demonstrable ability to collaborate effectively with cross-functional teams