Data Engineer

At MindWave, we’re not just building teams. We’re building a new way of working. We’re creating a community of experts who thrive in a transparent, human and forward-thinking environment.

We are currently looking for a Senior Data Engineer to join our community and contribute to an innovative research intelligence platform that helps organisations identify scientific expertise, emerging innovations and valuable collaboration opportunities. You’ll work in a high-impact technology environment where data is at the very core of the product. The platform brings together information from a wide variety of research-related sources to create accurate and connected profiles of researchers, research groups, companies and academic organisations.

With datasets reaching more than 100 million documents and over one billion relationships, this is an opportunity to solve meaningful engineering challenges at serious scale. You’ll have the freedom to take ownership, introduce new ideas and help shape the next generation of the data platform.

The working setup is flexible, with the possibility to work remotely and connect with the team at the office in the Ghent area whenever needed or desired.

Your responsibilities will include;

• Taking ownership of the further development and scalability of the data pipelines
• Facilitating the integration and continuous updating of data from a wide variety of sources
• Working with sources that differ significantly in structure, volume, quality, relevance and collection method
• Building and streamlining workflows that transform raw, unstructured data into accurate and structured information
• Developing LLM-powered toolchains for information extraction and data enrichment
• Building tools to automate and streamline internal data processes
• Developing scalable solutions for capturing and processing web data
• Creating quality assurance and monitoring tools for key data metrics
• Building tools that generate customer-specific insights and reports.

Requirements

You combine strong software engineering fundamentals with a genuine passion for data. You enjoy solving complex problems, but you also know when a pragmatic solution is more valuable than a theoretically perfect one.

• At least five years of professional experience in software engineering
• Solid hands-on experience in data engineering
• Strong professional experience with Python
• Experience with both document-oriented and relational databases, such as MongoDB and PostgreSQL
• Professional fluency in English
• Experience with AWS or another cloud platform, including services such as ECR, ECS, EC2, RDS, S3 and CloudWatch
• Experience with Elasticsearch
• Familiarity with data warehouses and business intelligence solutions
• Experience with distributed processing frameworks such as Spark or Hadoop
• Experience building LLM-powered data processing or information extraction workflows.

🌱 Soft Skills and MindWave Mindset

At MindWave, we value people who are not only strong in what they do, but also in how they work with others.

You take ownership and feel comfortable working with a high level of autonomy. You don’t wait for perfect instructions before moving forward: you explore, challenge assumptions and turn ideas into working solutions.

You combine thoroughness with pragmatism and communicate openly when you see opportunities, risks or better ways of doing things. You enjoy collaborating across disciplines and can explain complex technical ideas clearly.

Curiosity is part of how you work. You’re interested in the possibilities of AI and new technologies, eager to experiment and happy to share what you learn with the wider community.

Above all, you value transparency, trust and human connection. Because at MindWave, we believe the best results come from strong experts who are given the freedom and support to do meaningful work.

Benefits

🧠 A true community of experts, with both natural and planned knowledge-sharing moments such as brown bag sessions on AI, innovation and emerging technology topics.

🏝️ A flexible working culture that combines remote freedom with meaningful connection to your team and the wider MindWave community.

🚀 A transparent and human working environment where you can grow, contribute and be yourself.

🌱 Strong and accessible leadership, with direct interaction and genuine involvement from the CEO in the lives of our consultants and community.

🌍 A long-term, technically challenging project where your work has a visible and meaningful impact.

🔬 The opportunity to work at the intersection of large-scale data engineering, AI and scientific innovation.

⚖️ A competitive employee package including medical insurance, meal vouchers, an annual training budget and a remote-work budget for internet and mobile costs.

🤝For freelancers: full transparency on rates and fees. No surprises, just fairness. 🤝