Data & AI Engineer

Overview
We are looking for a skilled Data & AI Engineer to join our IT team and contribute to the development of scalable data platforms and AI-enabled solutions. In this role, you will work at the intersection of data engineering, analytics, and applied artificial intelligence, supporting data-driven decision-making, automation, and intelligent systems across the organization.
The ideal candidate combines strong data engineering foundations with hands-on experience leveraging AI tools and models in real-world, production environments.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Develop and optimize relational database solutions (SQL Server, Azure SQL)
• Implement cloud-based data architectures on Azure (and AWS where applicable)
• Integrate AI-powered components (e.g., predictive models, automation, LLM-based services) into existing data and analytics platforms
• Support and enhance business intelligence and visualization solutions (Power BI)
• Apply automation, CI/CD, and infrastructure best practices to data and AI workloads

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong experience with relational databases and data modeling (SQL Server, Azure SQL)
• Advanced proficiency in SQL and Python for data processing and AI integration
• Hands-on experience with Azure Data Factory, Databricks, SSIS, or similar ETL/ELT tools
• Experience working with cloud platforms, primarily Microsoft Azure (AWS exposure is a plus)
• Practical experience with AI tools, frameworks, or services (e.g., model APIs, LLM platforms, AI-assisted automation)
• Background in data analytics and visualization, especially Power BI
• Familiarity with automation tools and CI/CD pipelines for data and AI workloads
• Strong analytical and problem-solving skills with high attention to detail
• Effective communication skills and a collaborative mindset

Preferred Qualifications

• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Practical experience building or integrating RAG-based solutions and working with LLMs via APIs or managed services
• Knowledge of data privacy and AI-related regulations, including GDPR and the EU AI Act
• Understanding of security best practices for cloud-based data and AI systems

Does this sound like your next challenge?
Dynava offers an exciting and empowering work environment, operating in Sweden, Finland, Estonia, Moldova, Senegal, and Cyprus.
Read more about Dynava at https://www.dynava.com/

If you have any questions regarding the position, please contact Bartosz Kopczynski, tel. +358 440 274811, on Wednesday 21.1., Tuesday 27.1. and Wednesday 28.1. from 10:00 to 11:00.

Application
Please send your application to rekrytointi@dynava.com. Apply in English by 2026-02-03.

We look forward to learning more about you!