Senior Manager, Data & AI Engineer leading data & AI engineering capabilities for AI Transformation programs across projects in China. Collaborating with global teams to enhance data governance and product delivery.
About the role
- AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.
Responsibilities
- 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€
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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