Strong fit for mid-level data engineers with GenAI experience who can bridge technical and business teams in Athens.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Aksia via Greenhouse
Aksia Overview
Aksia is an alternative assets specialist, providing investment solutions for institutional investors globally. We provide investment management, advisory and research services across hedge funds, private credit, private equity, real assets, and real estate. As of June 30, 2026, Aksia advises on over $353bn and manages $38bn of client capital.
Team Overview
Aksia's Information Technology team is made up of 30 global members focused on operational infrastructure, software development, and cybersecurity, partnering closely with all business units to bridge business strategy and technical capability.
Position Overview
Aksia is seeking a mid-level AI & Data Engineer to join the IT team in Athens. This role will support the firm's AI and data initiatives, working with both IT and business teams to evaluate data, build robust data models, and lay the foundation for automation. The position combines hands-on engineering with close collaboration across the organization.
Responsibilities
Support the IT team in designing, building, and delivering AI and data initiatives across the firm
Partner with business teams to help them leverage AI tools in their day-to-day work
Assess and evaluate each team's data sources, quality, and structure
Design and build robust data models per business area to enable future automation
Build GenAI solutions and agentic workflows that streamline business processes
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
3+ years of experience in a similar data or AI engineering role
Strong hands-on experience with Python and SQL
Experience working with large data sets and relational databases
Experience with at least one major cloud platform (Azure, AWS, or GCP)
Practical experience with GenAI and agentic workflows, including relevant tools and frameworks (e.g., LLM APIs, LangChain, LangGraph, or similar)
Strong problem-solving skills and the ability to communicate clearly with technical and non-technical stakeholders
Fluency in English both written and spoken
Nice to Have
Hands-on experience with Snowflake (strongly preferred)
Experience in the financial services or asset management sector
Source: Aksia careers (Greenhouse)