Data Engineer – Data Consultant
Summary
Data Engineer translates business needs into Python-based data migration and processing solutions, ensuring compliance in regulated life-sciences environments while collaborating with clients and internal teams.
- 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 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 Proficiency
- Data Migration Experience
- Microsoft Office Expertise
- Client-Facing Skills
- Regulated Environment Experience
ATS Optimization Keywords
Hard Skills
- Data Migration
- Data Handling
- Analytical Mindset
- Version Control
- Code Sharing
- Team-Based Development
- Attention to Detail
- Structured Logic
Soft Skills
- Proactive Attitude
- Team-Oriented
- Curiosity
- Communication Skills
Certifications & Qualifications
- Master’s Degree in STEM
Industry Keywords
- GxP
- Life Sciences
- Clinical
- Quality
- Regulatory
- Laboratory
- Safety
- Commercial
Tools & Technologies
- Microsoft Excel
- Microsoft PowerPoint
- Ubuntu/Linux
- Visual Studio Code
- Azure DevOps
- GitHub
- PuTTY
- WinSCP
- Jira
- Confluence