Senior / Lead Data Engineer

• 5+ years of experience as a Data Engineer
• Strong expertise in SQL and data modeling
• Hands-on experience with Snowflake and/or Databricks
• Strong Python and PySpark skills
• Experience with dbt and Airflow
• Solid understanding of AWS/GCP and Terraform
• Experience building production-grade data platforms end-to-end
• Knowledge of Data Vault 2.0 is a strong plus

Nice to have:

• Experience working in AI/ML environments
• Familiarity with Great Expectations, Cosmos, or Iceberg
• Experience with near real-time or streaming architectures

We are looking for an experienced Senior / Lead Data Engineer to join a modern data & AI engineering environment focused on building scalable data platforms and advanced analytics solutions. This role is ideal for someone who enjoys hands-on engineering, architectural ownership, and working with modern cloud-native technologies.

What’s offered:

• High-impact engineering role with architectural ownership
• Modern data & AI tech ecosystem
• International environment with senior-level collaboration
• Long-term project with strong engineering culture
• Flexible working model and high level of autonomy

,[Design and develop scalable cloud-based data platforms, Build and maintain robust ETL/ELT pipelines, Develop solutions using Snowflake, Databricks, dbt, and Airflow, Optimize SQL performance and large-scale data processing workflows, Drive DataOps, CI/CD, and Infrastructure-as-Code best practices, Implement data quality, monitoring, and observability frameworks, Collaborate closely with Data Science, AI, and Product teams, Provide technical leadership and mentor engineers within the team] Requirements: SQL, Data modeling, Python, AWS, GCP, Snowflake, dbt, PySpark, AI, Vault