Senior Data Engineer

• The Data Engineer the design and implementation of complex data engineering solutions, setting technical standards and mentoring junior team members. This role requires deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns, enabling you to architect scalable data warehouses and data lakes, troubleshoot intricate performance issues, and ensure the resilience and security of critical data infrastructure. You will drive technical excellence, contribute significantly to data governance, and influence the team's architectural decisions.

• Scope / (Content Leadership): Leads the design and construction of large-scale data architectures. Oversees and mentors junior engineers while driving technical excellence and setting standards across the team.
• Accountability/Problem Solving: Solves highly complex data engineering problems and troubleshoots intricate performance issues. Ensures that critical data infrastructure and systems remain highly scalable, secure, resilient, and efficient.
• Stakeholder Management: Liaises with senior leadership to align on data strategy and organizational needs. Guides and directs various technical teams and effectively influences the team's architectural decisions.
• Impact/Strategy: Leads high-impact projects that significantly shape the organization's data infrastructure. Develops long-term strategies for data architecture and contributes significantly to data governance initiatives.
• Complexity / (Product Size): Manages enterprise-level data systems and infrastructure. Designs and implements advanced data processing frameworks, scalable data warehouses, and data lakes.
• Business / Technical ability: Acts as an expert in multiple programming languages and Big Data technologies. Demonstrates a deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.

• 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.

Technical Skills

• 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 to troubleshoot intricate system performance issues.

Additional Qualifications

• AWS Expertise
• DB Expertise
• Scrum Master expertise would be beneficial

• Participation in interesting and demanding projects.
• Flexible working hours.
• A great, non-corporate atmosphere.
• Possibility to work remote or hybrid (2 days per week from the office).
• Opportunities for development and promotion.
• Attractive package of benefits.

We reserve the right to contact the selected candidates.