TL;DR

Data Delivery Manager (Data Science ML): Manage and govern all data records and architecture within the Digital Profile Factory, ensuring data accuracy, consistency, and security. Focus on designing scalable data models, implementing data governance frameworks, and enabling advanced analytics and AI/ML solutions.

Location: Sant Joan Despí, Spain (hybrid work format)

Company

%hirify_global% is a global leader in security technologies for physical and digital worlds, specializing in secure telecommunications systems and eSIM profile management.

What you will do

Own and maintain all data records and master data sources within the Digital Profile Factory.
Define data entry, modification, flow, and user access rights across tools and processes.
Establish and monitor data governance frameworks and quality assurance mechanisms.
Develop scalable data models optimized for operational and analytical use.
Drive data integration and support advanced analytics and AI/ML use cases.
Collaborate with stakeholders to align data solutions with operational needs and advise on best practices.

Requirements

Location: Must be based in or near Sant Joan Despí, Spain, with hybrid work arrangement.
English: Business proficient/native level required (C2).
8–10 years of experience in data management, including 5+ years as a Data Architect.
Strong expertise in database technologies, data warehousing, Big Data, and cloud platforms (AWS, Azure, Google Cloud).
University degree in Computer Science, IT, Data Science, Engineering, or related field.

Nice to have

Experience with Data Lakes, Data Mesh, and modern data architecture approaches.
Strong analytical, strategic thinking, problem-solving, and communication skills.

Culture & Benefits

People-oriented environment with diverse nationalities and flat hierarchies.
Equal Opportunity Employer and LGBT+ friendly.
Global collaboration with stakeholders worldwide.
Continuous training, coaching, and talent development programs.
Flexible compensation including transport tickets, training, and private insurance.
Onsite canteen with affordable breakfast and lunch options.
Flexible working hours with option for remote work three days a week.