Data Product Engineer, Data & Analytics (AI)

Location: Spain - Remote

Company

hirify.global is a global technology company connecting the physical and digital worlds through positioning, modeling, data analytics, and solutions for construction, geospatial, transportation, and logistics.

What you will do

• Design, build, and scale reliable data pipelines, analytical models, and reusable data products for BI, internal applications, and AI consumers.
• Operate a governed semantic layer with consistent metrics and business concepts across reporting, applications, APIs, and AI-enabled services.
• Improve data-quality controls, observability, monitoring, alerting, incident practices, performance, CI/CD, and cost management.
• Deliver internal applications, APIs, automation, and governed agent interfaces such as MCP servers from discovery through operation and iteration.
• Define data and service contracts covering ownership, interfaces, service expectations, versioning, and escalation paths.
• Mentor colleagues and guide standards for modeling, testing, deployment, documentation, governance, and AI-native delivery.

Requirements

• 5+ years of experience in data engineering, analytics engineering, software engineering, or an adjacent field.
• Strong practical experience with SQL, Python, data modeling, ELT, dbt, orchestration, and cloud data services, preferably GCP, BigQuery, and Airflow.
• Experience with Git, code review, automated testing, CI/CD, infrastructure as code, environment management, and observability.
• Experience designing workflows for AI coding agents and validating generated designs, code, tests, and documentation.
• Experience building and maintaining production APIs, MCP servers, and endpoints.
• Ability to communicate technical decisions and trade-offs to technical and non-technical stakeholders.

Nice to have

• Experience with BI and analytics governance, metric consistency, semantic modeling, access control, data quality, discoverability, lifecycle management, and cost optimization.
• Experience implementing semantic layers, metric stores, data catalogs, or governed analytical interfaces.
• Experience building internal applications with authentication and role-based access.

Culture & Benefits

• Work on purpose-driven solutions for construction, transportation, logistics, infrastructure, and other essential industries.
• Collaborate with a supportive team focused on practical innovation and real-world impact.
• Operate with ownership and autonomy in an entrepreneurial environment.
• Join a values-driven culture centered on Belong, Grow, and Innovate.

Hiring process

• Submit an online application through the posting.