Associate, AI & Data Engineer

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