Data Engineer – Data Consultant

BASE life science

Data Consultant analyzing data for BASE life science's healthcare initiatives. Collaborating with clients to implement data migration and processing tasks in a compliant manner.

Posted 7/25/2026full-timeBarcelona • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in Python for data migration and processing, with a structured and analytical mindset to translate business requirements into technical solutions. Possesses excellent communication skills for client engagement and collaboration, ensuring high data quality and compliance in regulated environments.

Highest-signal resume keywords

Python ProficiencyData Migration ExperienceMicrosoft Office ExpertiseClient-Facing SkillsRegulated Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MigrationData HandlingAnalytical MindsetVersion ControlCode SharingTeam-Based DevelopmentAttention to DetailStructured Logic

Soft Skills

Proactive AttitudeTeam-OrientedCuriosityCommunication Skills

Tools & Technologies

Microsoft ExcelMicrosoft PowerPointUbuntu/LinuxVisual Studio CodeAzure DevOpsGitHubPuTTYWinSCPJiraConfluence

Certifications & Qualifications

Master’s Degree in STEM

Industry Keywords

GxPLife SciencesClinicalQualityRegulatoryLaboratorySafetyCommercial

Tech Stack

Tools & technologies

AzureLinuxPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Health insurance
Remote work flexibility, with an expectation to be in the office at least once a week
Ongoing learning and development opportunities
Support for physical, social, and emotional wellbeing
Home office setup with laptop and other electronic devices