Data Engineer for Industrial Systems and Cloud Platforms

1 day ago


Manila, National Capital Region, Philippines Aboitiz Data Innovation Full time
Role Description

The Senior Data Infrastructure Engineer will be responsible for designing, implementing, and optimizing cloud-based and hybrid data architectures in an industrial environment. This role requires a deep understanding of cloud computing, database administration, and infrastructure automation.

The ideal candidate will have extensive experience working with industrial systems, including power plant control systems, SCADA, and data historians. They will also have strong experience in cybersecurity best practices, network security, and compliance frameworks.

The Senior Data Infrastructure Engineer will collaborate with cross-functional teams to ensure alignment between infrastructure strategies and business goals. They will develop and enforce best practices for cloud governance, security, and cost management.

  • Key Responsibilities:
  • Design, implement, and optimize cloud-based and hybrid data architectures in an industrial environment.
  • Build highly scalable, secure, and resilient data infrastructure solutions that support advanced analytics, machine learning, and business intelligence applications.
  • Collaborate with cross-functional teams to ensure alignment between infrastructure strategies and business goals.
  • Develop and enforce best practices for cloud governance, security, and cost management.
  • Oversee infrastructure automation and Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or Ansible.
  • Establish data backup, disaster recovery, and high-availability strategies to ensure resilience and business continuity.

About the Team:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Cloud Computing, or a related field.
  • 8+ years of experience in cloud infrastructure engineering, data platform architecture, or a similar role.
  • Deep expertise in cloud computing (AWS, Azure, or Google Cloud), including compute, storage, networking, and security services.
  • Strong experience in database administration (SQL, NoSQL, time-series databases, and data lakes).
  • Hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible.
  • Proficiency in containerization and orchestration (Docker, Kubernetes, EKS, GKE, or AKS).
  • Extensive experience working with industrial systems, including power plant control systems, SCADA, and data historians.
  • Strong understanding of cybersecurity best practices, network security, and compliance frameworks.
  • Excellent interpersonal and stakeholder management skills, with experience in cross-functional team leadership.


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