Key Skills

Job Description

About the Role At Sytac, we connect top-tier tech talent with high-impact enterprise environments. We are looking for a Senior Data & AI Platform Engineer to join a transversal Data, Operations Research & AI engineering team supporting a global, multi-brand enterprise. In this role, you will be instrumental in evolving a central Data & AI Platform—the technical backbone that enables cross-functional product, analytics, and data teams to build, deploy, and scale data pipelines reliably, securely, and at speed. Key Responsibilities Empower Product Teams: Serve as an internal consultant and technical partner, removing friction for distributed data engineering teams while enforcing architecture, security, and quality standards. Modernize Cloud Infrastructure: Architect, provision, and maintain reliable, scalable cloud services on Google Cloud Platform (GCP) using Terraform. Streamline Developer Experience: Develop internal tooling, reusable pipeline components, and automated CI/CD workflows to accelerate time-to-production. Optimize Reliability & Cost: Champion operational excellence by embedding best practices around CI/CD, proactive pipeline monitoring, and FinOps for cloud resource efficiency. Elevate Standards: Drive technology alignment, mentor community members, and ensure the platform stack remains future-proof and resilient. Requirements 4+ years of hands-on experience building production-grade data pipelines, platforms, or distributed data processing systems. Proven track record supporting and enabling data engineering teams within an enterprise environment. Deep practical knowledge of GCP (BigQuery, Cloud Storage, Cloud Run, Workflows, or equivalent cloud-native services). Demonstrated experience writing and managing Infrastructure as Code (IaC) with Terraform. Advanced programming skills in Python, RESTful API integration, and standard software engineering practices. Solid grasp of Git, GitHub Actions (CI/CD), and foundational FinOps concepts. Strong problem-solving, communication, and stakeholder management skills in English. Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Nice to Have Configuration management tools such as Ansible. Exposure to enterprise data integration platforms (e.g., Informatica IDMC). Experience working within Agile/Scrum delivery models. Life at Sytac Working at Sytac means joining a community that prioritizes your growth. Our benefits package is designed for flexibility, learning, and adventure: Unlimited Growth Days: Enjoy your professional development and Sytac activities! 📚 The Best Gear: Pick a private laptop (<€4,000) with 50% paid by us, plus a tech budget. 💻 Invest in You: A €2,400 annual growth budget for training and conferences. 🌿 Future Proof: We contribute 3.75% to your pension. Legendary Trips: Join our annual ski trips, beach BBQs, and epic parties! ⛷️

Core Responsibilities

Build and evolve a central Data & AI Platform on Google Cloud, using Terraform to provide reliable, scalable cloud services and reusable pipeline components. Enable product and data teams through internal consulting, automated CI/CD, monitoring, cost optimization, and technical guidance while maintaining architecture, security, and quality standards.

Requirements

Candidates need at least four years of experience building production-grade data pipelines, platforms, or distributed data processing systems, including experience enabling enterprise data engineering teams. They should have practical GCP and Terraform expertise, advanced Python and REST API skills, familiarity with Git and GitHub Actions, and a bachelor’s degree or equivalent practical experience.

Benefits

• Professional Development Days
• Laptop Contribution
• Technology Budget
• Annual Training And Conference Budget
• Pension Contribution
• Company Trips And Events