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# Junior Data & AI Engineer (Finance)

- **Company:** Econopolis
- **Location:** Antwerpen, Belgium
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Data Streaming, Unstructured Data, Data Processing, Scripting, Delivery Pipeline, Large Language Models, Data Pipelines
- **Published:** August 3, 2026
- **Apply:** https://www.adzuna.be/details/5823537560

## About the Role

* 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

## Description

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


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