Junior Data & AI Engineer (Finance)

You’ll work closely with our data lead, supporting both the asset management and consulting sides of the business. The role spans three areas:

1. Data infrastructure (core focus) * Build, maintain, and improve data pipelines * Automate recurring data processes * Ensure the reliability and consistency of internal data flows

2. Internal tools & AI applications * Develop and extend Python-based internal tools used in consulting * Contribute to new tools for asset management workflows * Explore and implement practical AI/LLM use cases

3. Process automation * Automate internal processes end-to-end, with a focus on reducing manual work

This is a hands-on role: you’ll move from idea to implementation, and spend as much time improving existing systems as designing new ones.

A typical week

• Identify and build new automation pipelines; from understanding a colleague’s data problem, to proposing and co-creating a solution, to implementing, reviewing, and finalizing it
• Maintain existing pipelines and act as the go-to person for questions about them
• Brainstorm new products with the data team
• Track developments in AI/LLMs and look for ways to apply them to existing and new pipelines
• Contribute to internal consulting products, such as OrteliusAI

Working setup

• Small team of 5, with hybrid roles spanning data, consulting, and analysis
• You’ll work primarily with the data lead, with a strong focus on data engineering
• Priorities are set centrally, but you take ownership once the guidelines of a project are set
• Room to propose structure, improvements, and new approaches

Within your first 6-12 months

• Improve and stabilize key data pipelines
• Reduce manual workload through automation
• Deliver tangible improvements to internal tools or workflows

• Master’s degree or Professional Bachelor’s with a strong analytical/coding component and a focus on problem-solving, ideally in a data context (e.g. engineering, IT, or applied sciences)
• Hands-on experience with data analysis and manipulation, whether academic or professional
• Strong working knowledge of Python (data manipulation, scripting, automation)
• Comfortable working with SQL and APIs
• A concrete data project you’ve built or contributed to (academic or professional)
• Good understanding of how to apply LLMs/AI to real tasks
• Proactive, creative, and not afraid to speak up with new ideas
• Dutch and/or English

Nice to have

• Experience with data pipelines or ETL processes
• Experience with cloud platforms such as Azure
• Familiarity with R, Microsoft 365, or workflow automation tools (e.g. n8n)
• Comfortable working with imperfect or unstructured data
• An interest in economics, asset management, or macroeconomics

• Can translate problems into practical solutions without needing detailed specs
• Comfortable in an environment that’s still evolving
• Genuinely interested in building, improving, and experimenting
• Proactive about proposing new solutions

What we offer

• Real opportunity for self-development
• Direct, visible impact on a growing organization
• Help shape the future of data analysis for the organisation
• Autonomy over your projects
• The chance to apply the latest AI/data technology directly within a real organization

Econopolis, a Belgian asset management and consulting firm, is looking for a junior data & AI engineer to help build the data backbone behind our investment and economic consulting work with a special focus on bringing in practical AI into how we operate.