AI Engineer

PRODYNA

Athens, Attica, Greece Hybrid permanent

Posted: April 9, 2026

Quick Summary

Design and implement custom software solutions for mid- to large-sized enterprises using modern cloud platforms, scalable architectures, and cutting-edge technologies. We design and build modern data platforms and intelligent data solutions that power analytics and AI-driven decision-making. Focus on fostering a culture of collaboration, continuous learning, and innovation, where engineers can shape impactful solutions and grow their careers.

Required Skills

Job Description

At PRODYNA, we design, implement, and operate custom software solutions for mid- to large-sized enterprises. We help our clients unlock the full potential of their data through modern cloud platforms, scalable architectures, and cutting-edge technologies. We foster a culture of collaboration, continuous learning, and innovation—where engineers can shape impactful solutions and grow their careers.

Your Role

As a AI Engineer with Fabric & AI expertise, you will design and build modern data platforms and intelligent data solutions that power analytics and AI-driven decision-making.You’ll work closely with Data Architects, ML Engineers, and business stakeholders to deliver scalable, high-performance data ecosystems.

• Design and implement modern data platforms for large-scale data integration and processing
• Build and optimize data pipelines (ETL/ELT) across cloud environments
• Develop solutions using Microsoft Fabric (Lakehouse, Data Factory, Synapse, Power BI)
• Enable AI/ML use cases by preparing high-quality, feature-ready datasets
• Integrate data from multiple sources (batch, streaming, APIs, on-prem & cloud)
• Ensure data quality, governance, and reliability across the platform
• Collaborate with stakeholders to define requirements and deliver data-driven solutions
• Contribute to data architecture design (Data Mesh, Lakehouse, etc.)
• Support deployment and automation using CI/CD and DevOps practices

Requirements:
• 3+ years of experience in Data Engineering or Data Platform development
• Strong SQL and programming skills (Python, Scala, or Java)
• Experience with cloud platforms (Azure preferred, AWS or GCP also welcome)
• Hands-on experience with Microsoft Fabric or related Azure data services
• Solid understanding of:
• Data modeling (Kimball, Data Vault, etc.)
• Data warehousing & lakehouse architectures
• Distributed data processing (e.g., Spark)
• Familiarity with AI/ML workflows (feature engineering, data prep, MLOps)
• Experience with tools like Databricks, DBT, Kafka, or Snowflake is a plus
• Strong analytical mindset and problem-solving skills
• Fluent in English
• Entitled to work in EU

Benefits:
Compensation & Perks

• Salary: We will settle on the exact compensation amount based on prior experience and skills.
• Private health insurance & Life Insurance from day #1
• Health management scheme (weekly sessions & monthly challenges)
• 25 vacation days
• Team events tech oriented and more
• International network
• Lunch in the office
• Employee referral programme/ bonus

Dedicated budget for:

• Employee education ~ 800€
• Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€

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