SENIOR DATA & AI ENGINEER

Responsibilities:

• Work in project teams using agile and traditional project approaches.
• Identify customer needs and develop innovative data integration scenarios in modern cloud and on-premises environments.
• Analyze and optimize ETL/ELT processes in hybrid system landscapes.
• Develop solutions for various industries for generative AI, hyper-automation, computer vision, or IoT.
• Design and model data architectures, develop ETL/ELT processes and data pipelines, and create reports, dashboards, and ad-hoc analyses.
• Ensure the quality of work results in terms of functionality, code quality, and documentation, and support the operation of solutions through bug fixing, optimization, and monitoring.

Requirements:

• Minimum of 5 years of experience in AI development, with strong programming skills in object-oriented Python, SQL, and DAX
• Experience in developing data warehouse and business intelligence projects, knowledge of database systems, and data competencies in Cloud technologies (Azure, GCP, AWS)
• Proficiency in data tool stacks for creating data processes by using ADF, Synapse pipelines, Databricks, and data visualization with PowerBI
• Experience in designing and implementing efficient data workflows in the cloud and building data pipelines with e.g., Apache Airflow, Argo Workflow, or Databricks
• Python skills specifically for generative AI and prompt engineering.
• Focus on code quality, write testable and maintainable code that scales, and have experience in building CI/CD pipelines (e.g., GitHub Actions)

We Offer:

• Monthly gross salary from 3800 to 4800 EUR, depending on your level of expertise.

• Hybrid way of working with cozy office space in the center of Riga, when needed, and flexible working hours opportunities, based on your own preferences.

• Family-oriented company values and healthy attitude towards work and life balance - granting additional 4 vacation days, birthday leave, "Happy Land" space in the office for children, etc.

• Individual development and learning plan, including yearly budget for external training.

• Necessary essentials – health insurance with dental services and sports coverage.

• Possibility to work in mutual trust and positive team environment, to be creative and improve working flows by self-initiatives.

• Friendly, multicultural and cooperation orientated colleagues.