Data Engineer

External job listingat ITJ

We offer the following benefits:100% payroll scheme20 days - Christmas bonus12 days of vacation on the first year8% (cap) saving fund11% (cap) of food couponsEm

External source - not verified11 days agoOpen until: Dec 8, 2026

Salary

Not provided

Location

Remote

Employment type

Full time

Workplace

Remote

Data Engineer

Remote

Job description

We offer the following benefits:100% payroll scheme20 days - Christmas bonus12 days of vacation on the first year8% (cap) saving fund11% (cap) of food couponsEmployer-paid medical, dental, vision, and life insurance; medical insurance for employees, Gym bonus supportEducation reimbursement (Up to MXN 54,000 per year)30% vacation bonus10 days paternity leaveWork at Home Bonus for office equipment 1-time MXN 5,000

Key Responsabilities Design and implement ingestion and normalization processes for vendor stability reports and related files.Build data structures supporting programs, studies, lots, time points, assay attributes, results, specifications, deviations, vendors, reference standards, and critical reagents.Support automatic generation and tracking of operational time points using study start dates and applicable scheduling rules.Implement data-quality controls for completeness, consistency, valid relationships, duplicate information, and reliable status tracking.Build the data-processing workflow for AI-assisted vendor-report extraction, including proposed values, confidence indicators, human review, and approved value retention.Preserve source references and traceability for extracted or transcribed vendor-derived information.Ensure extracted values are never saved automatically and that AI-assisted functionality remains limited to data entry support.Prepare operational data for portfolio views, overdue-report tracking, review status, OOS/OOT visibility, deviations, trends, and CSV exports.Collaborate with the BI Analyst on operational metrics, dashboard data, trend visualization, and reporting validation.Build pipeline monitoring, error handling, reconciliation, documentation, and support procedures.Partner with the Full Stack Engineer on application data models, APIs, workflow state, and data-quality behavior.Participate in backlog refinement, technical design, testing, release planning, production support, and knowledge transfer.Help establish reusable data-engineering practices for future ITJ TechOps products without expanding our internal application beyond its approved scope.

Similar jobs