Technical Data Engineering Manager

Job not on LinkedIn

🔥 12 hours ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👮‍♀️ Software Engineering Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cyntegrity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Cyntegrity is a company that provides AI-augmented risk-based quality management (RBQM) solutions for clinical trials. Their integrated solutions enhance operational efficiency through a comprehensive risk management approach, helping optimize clinical operations while ensuring compliance and reducing costs. With a focus on data quality and patient safety, Cyntegrity's MyRBQM Portal offers predictive analytics, decentralized clinical trial support, and educational resources to foster a quality-by-design culture. Their tools and methodologies are designed to address current regulatory guidelines and are trusted by many global organizations in the biopharmaceutical sector.

📋 Description

• Translate customer and study requirements into technical tasks, specifications, and acceptance criteria • Oversee creation, transformation, mapping, and validation of datasets across clinical studies and platform components • Review data flows, mapping logic, database queries, data quality, and performance • Troubleshoot complex data issues • Coordinate between customers, Project Management, Data Engineering, Science, Product, and R&D teams • Contribute to scalable data architecture, reusable components, validation approaches, and technical best practices • Support onboarding and capability development of Data Engineers • Provide technical guidance and help establish clear goals and ways of working • Track technical progress, risks, dependencies, and blockers • Ensure timely escalation where needed • Participate in customer discussions and bridge business requirements with technical implementation

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or another relevant technical field • 2+ years of relevant professional experience in data engineering, data management, software/data development, or a related technical field • Strong experience with data pipelines, data transformation, integration, mapping, and data-quality processes • Experience translating business or customer requirements into technical solutions and developer-ready tasks • Experience working cross-functionally with technical and non-technical stakeholders • Experience coordinating or technically guiding engineers or other technical specialists • Strong working knowledge of SQL and NoSQL databases • Good understanding of ETL/data-processing pipelines, data mapping, validation, and performance optimization • Experience with CSV, XML, JSON, SAS, and ideally clinical data standards such as CDISC • Understanding of APIs, SFTP, Azure Storage, and AWS S3 • Strong written and verbal English communication skills • Experience with LLMs and prompt engineering • Additional training or experience in data management or clinical research is a plus • Scripting experience with Python, Node.js, C#, or similar is an advantage • Knowledge of clinical trials, RBQM, GCP, ICH E6/E8, and 21 CFR Part 11 is nice to have • Experience with SaaS products or data-intensive software platforms is nice to have • Product management or Business Analysis experience is nice to have • Knowledge of Microsoft Azure, AWS, DevOps, or cloud-based data architectures is nice to have

🏖️ Benefits

• Fully remote work setup • Flexible, autonomous, and transparent work culture • Opportunities for professional growth and development • Opportunity to work at the intersection of data engineering, clinical research, SaaS technology, and AI