Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior DevOps/Data Engineer to join our dynamic team on a full-time basis.

Role Overview

• Beyond the strong technical skills, we’re looking for someone who enjoys being part of a team while also being comfortable working independently.
• The ideal candidate is proactive, takes ownership of their work, and is naturally curious: someone who enjoys learning, improving, and staying engaged with what they do.
• We value people who are genuinely interested in their work and motivated to contribute, not just execute tasks.
• Design, build and maintain scalable ETL/ELT pipelines and data models in
• Ensure data is reliable, high-quality, and performs well across different workflows.
• Monitor pipelines, troubleshoot issues and continuously improve performance.
• Work closely with data analysts, BI developers and other stakeholders to understand and support business needs.
• Take ownership of deploying and operating data pipelines, including CI/CD processes and releases.
• Have strong practical experience with AWS.
• Comfortable working with Git and modern development workflows.
• Familiarity with cloud infrastructure and tools such as Terraform or Docker.
• Own the stability and performance of data workflows in production environments.
• Contribute to automation, as well as monitoring, logging and alerting for data workflows. Support environment management and ensure smooth operation of data pipelines in production.
• Support environment management and ensure smooth operation of data pipelines in production.
• Bring strong hands-on experience with Snowflake.
• Experience working in a data engineering team, building data warehouses and pipelines.
• Pharma domain experience: nice to have.
• Capability of working independently and eagerness to continuously develop skills and knowledge.

Requirements

• Must to have relevant experience wih Snowflake
• Must to have relevant experience with ETL/ELT pipeline
• Must to have relevant experience with data pipelines in production
• Must to have relevant experience with data warehouse
• Must to have relevant experience with data workflows
• Must to have relevant experience with Data Platform
• Must to have relevant experience with DevOps
• Must to have relevant experience with cloud infrastructure
• Must to have relevant experience with Terraform or Docker
• Must to have relevant experience with CI/CD
• Must to have relevant experience with AWS
• Must to have relevant experience with GIT
• Must to have relevant experience with modern development workflows
• Pharma experience is a plus but not mandatory.
• Be available during working hours (9 am - 6 pm. CET)