Aksia

Specialist alt investment research and advisory

Associate AI & Data Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeAthens, GreeceNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, or a related field is required.
At least 3 years of experience in a similar data or AI engineering role is required.
Strong hands-on experience with Python and SQL is required.
Experience working with large data sets and relational databases is required.
Experience with at least one major cloud platform—Azure, AWS, or GCP—is required.
Practical experience with GenAI and agentic workflows, including relevant tools and frameworks such as LLM APIs, LangChain, LangGraph, or similar, is required.
Strong problem-solving skills and the ability to communicate clearly with technical and non-technical stakeholders are required.
Fluency in written and spoken English is required.

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 for each business area to enable future automation.
Build GenAI solutions and agentic workflows that streamline business processes.

Desired Qualifications

Hands-on experience with Snowflake is strongly preferred.
Experience in the financial services or asset management sector is desirable.

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

About the Company

Aksia

Specialist alt investment research and advisory

Aksia provides specialist research and advisory services on alternative investments for institutional investors. It advises on over $160 billion of client allocations and serves pensions, insurers, government-related institutions, endowments, foundations, and superannuation funds through its subsidiaries. It delivers independent manager research, risk/return analysis, and ongoing portfolio monitoring to help clients select and size investments and to optimize portfolio construction across North America, Europe, and Asia from offices in New York, London, and Tokyo. Its differentiators are its global reach, a large experienced team, and an integrated research-and-monitoring framework that supports proactive oversight; its goal is to help institutional investors allocate and manage alternative investments to meet long-term objectives.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, United States
Founded: 2006

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