Senior Data Engineer

Role summary

The Data Engineer leads the design and implementation of complex data engineering solutions, sets technical standards, and mentors junior team members. The role requires deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns to architect scalable data warehouses and data lakes, troubleshoot complex performance issues, and ensure critical data infrastructure is resilient and secure. You will drive technical excellence, contribute significantly to data governance, and influence architectural decisions.

Responsibilities

• Lead the design and construction of large-scale data architectures.
• Mentor junior engineers, drive technical excellence, and set standards across the team.
• Solve highly complex data engineering problems and troubleshoot intricate performance issues.
• Ensure critical data infrastructure and systems remain scalable, secure, resilient, and efficient.
• Liaise with senior leadership to align data strategy with organizational needs.
• Guide technical teams and influence architectural decisions.
• Lead high-impact projects that shape the organization’s data infrastructure.
• Develop long-term data architecture strategies and contribute to data governance initiatives.
• Manage enterprise-level data systems and infrastructure.
• Design and implement advanced data processing frameworks, scalable data warehouses, and data lakes.
• Act as an expert in multiple programming languages and Big Data technologies.
• Apply deep knowledge of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.

Requirements

• Extensive experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures.
• Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data architecture strategies.
• Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure.
• Expert proficiency in multiple programming languages and Big Data technologies.
• Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns.
• Proven capability to architect scalable data warehouses and data lakes and troubleshoot intricate system performance issues.
• Proficiency in Talend is required.
• AWS expertise.
• Database expertise.
• Scrum Master expertise is beneficial.

We offer

• B2B contract.
• Long-term cooperation.
• 100% remote work.
• Flexible working hours.
• Wide spectrum of internal and international projects.