Synvert

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or another STEM-related field, or an equivalent qualification.


• 5+ years (Senior) or 8+ years (Principal) of hands-on experience in Cloud Engineering, Data Engineering, or Data Platform Architecture.


• Proven expertise with at least one leading cloud platform such as Microsoft Azure, Microsoft Fabric, AWS, or Google Cloud, as well as technologies like Snowflake, Databricks, or comparable platforms.


• Strong understanding of modern data architectures, including Data Warehousing, Data Lakes, Lakehouses, and Data Mesh concepts.


• Solid experience with Infrastructure as Code (e.g., Terraform), CI/CD pipelines, DevOps practices, and automated deployment processes.


• Extensive experience building scalable data pipelines and processing structured and unstructured data.


• Demonstrated ability to make architectural decisions and successfully deliver complex cloud and data transformation projects.


• Strong consulting and communication skills with confidence in interacting with customers and stakeholders at different organizational levels.


• Passion for mentoring colleagues, sharing knowledge, and taking technical leadership responsibilities.


• Excellent analytical thinking, problem-solving abilities, and a proactive, solution-oriented mindset.


• Strong curiosity for emerging technologies and a continuous learning mentality.

Language Skills

What you can expect
Agile Culture & Great Team

• Exciting international projects with renowned clients and real business impact.


• A diverse and global team with different backgrounds, perspectives, and expertise.


• Plenty of room for your own ideas, innovation, and entrepreneurial thinking.


• Regular team events, summer parties, Christmas celebrations, our legendary \"Mexican Meetings,\" and much more.


• Clear career paths toward Principal, Lead, or Solution Architect roles.


• Individual learning and development opportunities.


• Support for industry-recognized certifications.


• The opportunity to shape technical standards, best practices, and Communities of Practice across the organization.

Flexible Working Model

• Flexible working hours tailored to your projects.


• Hybrid working with a healthy balance between remote work and office collaboration.


• Workation opportunities for greater flexibility and inspiration.

Additional Benefits

• JobRad bike leasing.


• Canteen and complimentary breakfast cereal bar.


• Company breakfast every Friday to kick off the weekend together.

Join the best experts in Cloud Data & AI. We're waiting for you!