Technical Data Engineering Manager

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Convert customer and study needs into technical tasks, specifications, and acceptance criteria.

• Supervise the creation, transformation, mapping, and validation of datasets across clinical studies and platform components.

• Assess data flows, mapping logic, database queries, data quality, and performance.

• Resolve complex data issues.

• Facilitate communication between customers, Project Management, Data Engineering, Science, Product, and R&D teams.

• Contribute to the development of scalable data architecture, reusable components, validation methods, and technical best practices.

• Assist in the onboarding and skill enhancement of Data Engineers.

• Provide technical direction and help set clear objectives and operational methods.

• Monitor technical progress, risks, dependencies, and obstacles.

• Ensure timely escalation of issues when necessary.

• Engage in customer discussions to bridge the gap between business requirements and technical implementation.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

• Over 2 years of pertinent professional experience in data engineering, data management, software/data development, or a comparable technical area.

• Robust experience with data pipelines, data transformation, integration, mapping, and data quality processes.

• Proven ability to translate business or customer needs into technical solutions and developer-ready tasks.

• Experience collaborating cross-functionally with both technical and non-technical stakeholders.

• Experience in coordinating or providing technical guidance to engineers or other technical professionals.

• Comprehensive knowledge of SQL and NoSQL databases.

• Strong understanding of ETL/data-processing pipelines, data mapping, validation, and performance optimization.

• Familiarity with CSV, XML, JSON, SAS, and preferably clinical data standards such as CDISC.

• Knowledge of APIs, SFTP, Azure Storage, and AWS S3.

• Excellent written and verbal communication skills in English.

• Experience with LLMs and prompt engineering.

• Additional training or experience in data management or clinical research is a plus.

• Scripting experience in Python, Node.js, C#, or similar languages is advantageous.

• Understanding of clinical trials, RBQM, GCP, ICH E6/E8, and 21 CFR Part 11 is a bonus.

• Experience with SaaS products or data-intensive software platforms is desirable.

• Experience in Product Management or Business Analysis is a plus.

• Knowledge of Microsoft Azure, AWS, DevOps, or cloud-based data architectures is a plus.

🏝️ Benefits

• Fully remote work arrangement.

• Flexible, autonomous, and transparent work environment.

• Opportunities for professional development and growth.

• Chance to work at the intersection of data engineering, clinical research, SaaS technology, and AI.