Engineering at MineHub

At MineHub, we’re transforming how the world’s largest producers, traders, and consumers manage raw material supply chains. Our platform combines enterprise-grade B2B transaction workflows with intuitive user experiences, enabling customers to streamline logistics, reduce costs, and operate more sustainably through real-time data integration and analytics.

Data is central to this mission. From shipment tracking to supply chain transparency, the reliability, scalability, and quality of our data platforms directly impact customer trust and business outcomes.

The Role

As a Senior Data Engineer, you will own and evolve MineHub’s data platform. Your primary mission is to build reliable, scalable data foundations that power analytics, reporting, and future data-driven products, while setting a high technical bar for data engineering across the team.

This is a senior individual contributor role with significant influence: you will define standards, guide architectural decisions, and act as a reference point for data engineering best practices as we modernise our stack.

What You’ll Do

• Design, build, and evolve data platforms that ingest, transform, and serve supply chain and shipment tracking data at scale.
• Define and maintain data architectures, data models, and transformation patterns aligned with product and analytics needs.
• Establish and enforce best practices for data pipelines, testing, observability, documentation, and change management.
• Build and optimise ETL/ELT pipelines integrating data from diverse internal and external sources.
• Manage and optimise PostgreSQL (AWS Aurora) and related data stores for performance and availability.
• Partner closely with Product, Analytics, and Engineering teams to deliver well-designed data solutions.
• Enable analytics and future AI/ML initiatives through high-quality, well-governed data foundations.

• Current: Python, Django, Dagster, PostgreSQL (AWS Aurora)
• Evolving towards: Modular, service-oriented data pipelines, TypeScript-based services, modern data integration tools.
• Tooling will evolve; your judgment and architectural thinking matter more than experience with any single technology.

• 5+ years of hands-on data engineering experience in production environments.
• Proven experience designing scalable data architectures and data models.
• Strong experience building and maintaining ETL/ELT pipelines.
• Deep understanding of relational databases (PostgreSQL or similar).
• Demonstrated ownership of data quality, monitoring, and governance.
• Remote work based in Portugal, with the ability to attend in-person team meet-ups.

• Work on high-impact, real-world data problems in global supply chains.
• Join a mission-driven team focused on transparency and sustainability.
• Influence architecture, standards, and long-term technical direction.
• Be part of a growing company that values thoughtful engineering and ownership.