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1 день назад

Lead Data Engineer (GCP)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Engineer (GCP): Building and optimizing high-scale data infrastructure for AI-driven media and marketing analytics with an accent on cloud architecture, ETL pipelines, and scalable data warehousing. Focus on designing complex GCP solutions, championing CI/CD and IaC practices, and leading the technical direction for the engineering team in Australia.

Location: Sydney, Australia

Company

hirify.global, part of WPP, is a data and technology company building an AI-enabled media platform to transform marketing strategy into scaled activation.

What you will do

  • Lead the design and implementation of complex cloud engineering solutions for media use cases, including data warehousing, machine learning, and Generative AI.
  • Translate business requirements from Business Intelligence and Marketing Science teams into robust technical specifications.
  • Champion Infrastructure as Code (IaC), CI/CD pipelines, and cloud security standards across all data initiatives.
  • Mentor and coach the data engineering team to uphold high standards of collective output and professional growth.
  • Evaluate emerging technologies and industry trends to continuously evolve the engineering practice.

Requirements

  • Extensive experience building GCP solutions within Marketing Analytics and Machine Learning domains.
  • Deep expertise in data warehousing and ETL development using BigQuery, Dataflow, and Cloud Composer.
  • Strong proficiency in Python (including Apache Airflow and Apache Beam) and SQL for production-grade solutions.
  • Hands-on experience with Cloud Storage, Cloud Run, and Cloud Functions.
  • Proven knowledge of DevOps best practices, specifically using Terraform and GitHub Actions.
  • Ability to communicate complex technical concepts effectively to cross-functional stakeholders.

Nice to have

  • Google Cloud Professional Certifications (Data Engineer, ML Engineer, or Cloud Architect).
  • Knowledge of digital marketing and advertising concepts.
  • Experience guiding teams through technology adoption and organizational change.
  • Background in Computer Science, Information Technology, or a related technical discipline.

Culture & Benefits

  • Access to the extensive global WPP network for professional connections and learning.
  • Inclusive environment with employee resource groups and a culture of trust and respect.
  • Frequent in-office events to celebrate wins and share thought leadership.
  • Strong commitment to individual growth, development, and transformational creativity.

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