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Beyond

Cloud, cybersecurity, and AI solutions provider

Senior Data Engineer

Data EngineeringUpdated on Nov 10
Full-timeTaguig, Metro Manila, Philippines

About the Job

Requirements

  • Experience with Google Cloud Platform (GCP) or another major cloud provider.
  • Strong Python experience, including developing and maintaining data pipelines and automating data workflows.
  • Proficiency in SQL, particularly BigQuery SQL, for querying and manipulating large datasets.
  • Experience with version control systems such as Git.
  • Expertise in Python libraries and tools commonly used in data engineering, including Pandas, NumPy, and Apache Airflow.
  • Experience with data pipelines, ELT/ETL processes, and data wrangling.
  • Experience with dashboard analytics using Power BI, Looker Studio, or Tableau.
  • Previous experience in a client-facing role and ability to communicate and translate business requirements into technical specifications.
  • Willingness to mentor and coordinate more junior team members.
  • Excellent written and verbal English.

Responsibilities

  • Create and maintain knowledge materials for the team’s scope of delivery on managed service provider (MSP) customers.
  • Act as a trusted advisor to customers by understanding their technical challenges and using Google Cloud Platform technologies, patterns, and practices to address them.
  • Work with delivery teams, Google, and customer engineering teams to understand and use repeatable, consistent technology stacks across customer projects.
  • Document and implement managed service processes aligned with each project’s technology stack and customer requirements.
  • Follow and improve best practices, processes, and procedures relevant to the team’s activities.
  • Upskill and mentor colleagues to support smooth delivery across teams.
  • Represent Qodea in relationships with Google or customers and make customer visits as needed.
  • Handle customer escalations and facilitate patches or fixes to resolve data-platform issues.
  • Investigate issues in data models and maintain them to support analytics and reporting.
  • Monitor and maintain data infrastructure to ensure availability, correctness, and performance.
  • Perform regular checks to ensure data pipelines and machine-learning models are working correctly.
  • Collaborate with customers quarterly to ensure all requirements continue to be met.
  • Scope and plan implementation of customer changes and requirements.
  • Maintain automated data pipelines for data ingestion, ETL, and storage.

About the Company

Beyond

Cloud, cybersecurity, and AI solutions provider

Beyond builds the cloud and cybersecurity solutions that organizations rely on to run securely and scale with AI capabilities. It offers end-to-end technology—from foundational cloud infrastructure and security tooling to advanced AI systems—designed to help enterprises adapt to change. The company operates with a Google-first approach, often integrating and leveraging Google Cloud technologies to design and implement services. What sets Beyond apart is its focus on security and reliability across the entire stack, from infrastructure to AI-powered applications, delivering enterprise-grade capabilities rather than isolated tools. The overall goal is to enable organizations to thrive through change by providing trusted, scalable, and secure technology platforms.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2010

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