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обновлено 12 дней назад

Data Engineer (Mid-level)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Mid-level) (Cloud Data Engineering/Marketing Technology): Building scalable ELT/ETL pipelines, cloud data platforms, and curated datasets for analytics across media and marketing operations with an accent on Google Cloud Platform, BigQuery, data quality, and reliable integrations. Focus on designing data models, optimizing pipeline performance and cloud costs, implementing governance and observability, and solving complex data integration challenges.

Location: Johannesburg, South Africa

Company

hirify.global is WPP’s AI-driven media operating unit, combining media, data, partnerships, and the WPP Open platform to deliver personalised marketing at scale.

What you will do

  • Design, develop, and maintain scalable ELT/ETL pipelines and data ingestion frameworks for first-party, second-party, and third-party data.
  • Build data models, warehouse structures, reusable transformation frameworks, and curated datasets for reporting and analytics.
  • Develop cloud-native data solutions on Google Cloud Platform using BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, and IAM.
  • Implement monitoring, alerting, automated testing, data validation, lineage, governance, and observability practices.
  • Integrate REST APIs, SDKs, cloud services, and marketing technology platforms while troubleshooting production data issues.
  • Collaborate with Analytics Engineers, BI Developers, Data Analysts, Media, Analytics, Strategy, and Technology teams; contribute to code reviews, CI/CD, documentation, and mentoring.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related quantitative discipline.
  • 3–5 years of experience in Data Engineering or Analytics Engineering.
  • Advanced SQL skills and practical experience with Python, REST APIs, JSON, and Git.
  • Experience building cloud-based data platforms, scalable pipelines, API integrations, modern data warehouses, and analytics or BI platforms.
  • Experience with Google Cloud Platform, BigQuery, dbt, ETL/ELT, data modelling, orchestration, data quality, and IAM.
  • Knowledge of modern data architecture, data governance, privacy, observability, CI/CD, version control, and cloud cost optimisation.

Nice to have

  • Google Cloud Professional Data Engineer certification or other cloud and data engineering certifications.
  • Experience with media, marketing technology, digital analytics, or advertising ecosystems.
  • Experience with Snowflake, AWS, Azure, Terraform, Docker, Looker, Power BI, Tableau, Google Analytics 4, or Adobe Analytics.
  • Experience integrating Google Ads, Campaign Manager 360, DV360, Meta Ads, TikTok, AppsFlyer, SA360, or Adverity.

Culture & Benefits

  • Collaborate across media, analytics, strategy, technology, and external technology partner teams.
  • Contribute to continuous improvement across the data practice and platform.
  • Support junior engineers through knowledge sharing and mentoring.
  • Work on reliable, secure, and scalable data products that enable self-service analytics and trusted reporting.

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