Translating business and customer requirements into clear technical logic and structured migration or data-handling activities

Supporting the design and execution of data migration and data processing tasks in a controlled, traceable, and compliant manner

Working with data, logic, and processes to ensure tasks are performed accurately and in a controlled manner

Collaborating with clients and internal teams to understand needs, challenge assumptions, and propose the right approach

Presenting technical solutions and explaining complex topics in a clear and accessible way

Contributing to data quality, documentation, and governance best practices

Requirements

A Master’s degree in STEM (Science, Technology, Engineering, and Mathematics) or another quantitative field

Strong proficiency in Python, including experience with version control, code sharing, and team-based development practices

Advanced experience skills in Microsoft Office, including very good Excel skills and solid presentation skills in PowerPoint

A structured and analytical mindset,



with the ability to turn requirements into clear logic and practical solutions

Confidence in working directly with customers, including asking questions, challenging constructively, and presenting solutions

Curiosity, a willingness to learn, and motivation to grow your experience

High attention to detail and a quality-focused way of working

A proactive, team-oriented attitude and the ability to work independently when needed

Additionally, it is an advantage if you have experience with: Ubuntu/Linux, Visual Studio Code, Azure DevOps / GitHub, PuTTY/WinSCP, Jira / Confluence, Working in regulated environments, including GxP Life sciences domains such as clinical, quality, regulatory, laboratory, safety, and commercial, Data migration, data handling, or controlled process execution, Consulting, client-facing work, or other roles where business and technology come together

Core Competencies
Demonstrates strong profic

📌 Data Engineer – Data Consultant (Madrid)
🏢 Jobtailor
📍 Madrid