Senior Data Engineer

Your responsibilities:

• 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.

We are looking for you, if you have:

• 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

We offer:

• 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.