Data & Service Engineer (AI)

TL;DR

Data & Service Engineer (AI): Building and operating high-quality data ingestion, transformation, and validation pipelines that power experimentation, insights, and AI features across SwiftKey with an accent on secure, compliant, resilient, and observable services. Focus on growing deep service engineering skills, developing hands‑on expertise with large‑scale data systems, and contributing to delivering trusted, intelligent experiences.

Location: Multiple Locations, Spain. Starting January 26, 2026, employees who live within a 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

Salary: null

Company

hirify.global is building the next generation of human-centered AI, including global products like Copilot, Bing, Edge, Clarity, SwiftKey and MSN.

What you will do

• Build and operate production services that ingest, validate, transform, and serve data in cloud-hosted environments.
• Design, maintain, and improve data and model infrastructure used to process, store, distribute, and access large datasets.
• Monitor the health and performance of live data services using telemetry and alerts, investigate service issues, and participate in incident response.
• Partner with other engineers, product managers, and applied scientists to deliver high-quality data and production-ready services that support analytics, experimentation, and AI feature development.
• Apply security, privacy, and compliance standards across pipelines and services, managing data access and ensuring adherence to applicable policies and regulations.

Requirements

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work OR equivalent experience.
• Experience writing code in Python and SQL, or other relevant data-focused programming languages.
• Experience building or operating production data pipelines using distributed data processing platforms, such as Apache Spark–based systems (e.g., Databricks or Azure Synapse).
• Experience working with large-scale data storage and table formats commonly used in data lake architectures.
• Familiarity with cloud platforms (Azure preferred) and service engineering practices, including building, deploying, and operating containerized workloads using modern orchestration platforms, monitoring system health, and supporting the ongoing reliability of distributed cloud services.

Nice to have

• Experience working with event-driven or streaming data ingestion systems (for example Azure Event Hubs, Kafka or similar technologies).
• Experience working with large-scale consumer data in production services.
• Experience applying data governance, data compliance, and data security practices in production data systems.

Culture & Benefits

• Employees are expected to work from the office at least four days per week if they live within a 25-mile commute of a non-U.S., country-specific location.
• Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Microsoft builds on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.