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Data Engineer at Founderful Get AI‑powered advice on this job and more exclusive features. Our Vision We believe in a world where everyone, regardless of their country’s wealth or frontiers, enjoys access to medicines and healthcare when they need it. Our Mission We work tirelessly to remove access barriers faced by patients and caregivers across Low and Middle‑Income Countries (LMICs) when seeking quality medicines and quality healthcare.

Who We Are

Accelerating access to medicines for all. Imagine a world where critical medicines are within reach, affordable, and synonymous with quality, no matter where you are. That is the world we’re building with our unique, demand‑aggregation model that unites healthcare providers across LMICs. At the heart of our identity is a single, resolute commitment: to build a future where geography and income never stand between any individual and life‑saving medicines.

Our platform isn’t merely a space for transactions, we unlock affordable access to medicines by aggregating demand across healthcare providers. We also help manufacturers build a sustainable and reliable global access strategy.

About the Position

We are seeking a Data Engineer to advance and strengthen our data platform, ensuring scalable data availability, harmonisation, and analytics across the organisation. This role sits at the centre of our digital ecosystem and directly powers our marketplace, AI products, and operational insights. You will operate autonomously and thrive in ambiguity, shaping data architecture, leading analytics delivery, and building AI‑enabled data workflows. A significant portion of your time will be spent enabling analytics through Metabase or similar BI systems, while also designing and maintaining the pipelines, models and infrastructure required for high‑quality data at scale.

This role requires strong leadership, excellent stakeholder management and the ability to say no when necessary to maintain focus and data quality. You will collaborate closely with engineering, product and operations teams to deliver reliable, accessible, and insight‑driven data systems.

Key Responsibilities

Build and maintain pipelines and data models using dbt Manage data ingestion, transformation, and harmonisation Develop Python‑based workflows for structured and unstructured data Lead architectural improvement proposals with engineering peers Analytics Development Build dashboards, datasets and analytics layers in Metabase or similar BI tools Ensure trusted, consistent analytics for internal and external users Support product and operations teams with reliable decision‑support data AI‑Enabled Workflows Use AI‑in‑the‑loop workflows for development and PRs Apply AI‑assisted coding tools (Cursor or similar) Implement NLP and text extraction features Process and structure unstructured data at scale Infrastructure, Orchestration & Deployment Use orchestration tools for data workflows Build CI/CD for data using GitHub Actions Work with Docker‑based deployments Operate within cloud environments (GCP/AWS) Stakeholder Alignment & Leadership Partner with engineering, product and operations teams Communicate clearly about data quality, limitations and priorities Manage stakeholder expectations with clarity and confidence Say no when necessary to protect data quality and engineering focus Requirements 8–10 years of data engineering experience Strong Python development experience Strong experience with dbt Strong experience with Metabase (major portion of role) or similar BI tools Strong SQL and data modelling skills Experience with orchestration tools (Airflow, Dagster or Prefect) Experience with NLP, text extraction and unstructured data workflows Familiarity with AI‑assisted development workflows Strong data and AI foundations Experience with B2B platforms Experience with streamlit, dbt, n8n and LLM/agent development Experience with GCP/AWS, Docker and CI/CD (GitHub Actions) Operates autonomously and thrives in ambiguity Strong stakeholder management, leadership and ability to say no Benefits Unlimited PTO Monthly wellness allowance Paid parental leave Flexible working hours Annual off‑site retreats Fully remote work Opportunity to make a difference in healthcare equity Competitive salaries Room for growth Location Spain, Remote – Fully Remote Employment Type Full‑time Apply for this job #J-18808-Ljbffr