4 дня назад
Data Engineer (Cloud Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Cloud Data Engineering): Building and maintaining data pipelines, data models, and cloud data architectures for digital marketing, CRM, and business intelligence with an accent on ETL reliability, data quality, and multi-cloud platforms. Focus on optimizing large-scale data transformations, designing monitoring and incident-correction tools, and supporting personalized customer experiences through analytics-ready data.
Location: Copenhagen, Denmark or London, United Kingdom
Company
is a global enterprise solutions and technology organization that delivers marketing modernization, CRM, analytics, and personalized customer experience solutions for leading brands.
What you will do
- Identify, collect, and integrate data from multiple sources by building reliable data pipelines and analytics data models.
- Develop and optimize code for cost-efficient, maintainable ETL and data transformation workflows.
- Build monitoring procedures and tools to maintain ETL reliability and data quality.
- Design processes and tools for diagnosing and correcting ETL incidents.
- Design cloud data architectures and contribute to data migration projects.
- Collaborate with CRM developers, data scientists, analysts, product owners, architects, and consultants to support business initiatives.
Requirements
- Experience in data engineering, big data, business intelligence, or data science.
- Experience with Spark, Python, Scala, JavaScript, or similar programming technologies.
- Excellent SQL skills for large-scale data transformation and analysis.
- Understanding of cloud data warehousing, data pipelines, ETL, and transformation technologies such as Google Dataflow, Looker, dbt, EMR, CI/CD pipelines, and Airflow DAGs.
- Experience with cloud-based data infrastructure, ideally GCP; AWS or Azure experience is also suitable.
- Knowledge of database performance tuning, backup and recovery, data quality management, GitHub-based version control, data governance, and visualization tools such as Power BI, Tableau, or Looker.
Nice to have
- Knowledge of Kubernetes.
Culture & Benefits
- Work with architects, data scientists, consultants, technology specialists, creative teams, and client teams.
- Collaborate on digital marketing, CRM, analytics, and personalized customer experience solutions for global brands.
- Join an international organization operating across multiple markets and offices.
- Contribute to a respectful and inclusive workplace focused on collaboration and professional growth.
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