Senior Data Engineer (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (GCP/Spark): Building and optimizing high-quality data pipelines and data models for media analytics and CRM solutions with an accent on ETL flows, data quality, and cloud architecture. Focus on designing scalable data infrastructures, integrating diverse data sources, and collaborating with data scientists to support business intelligence initiatives.
Location: Barcelona, Spain
Company
is a world-leading Centre of Excellence that helps global brands humanize customer relationships through hyper-personalization, marketing automation, and CRM.
What you will do
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and BI.
- Develop and optimize code to enable pipelines with minimum cost and ease of maintenance.
- Build monitoring procedures and tools to ensure solid ETL flows and data quality.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to support business initiatives.
- Design data architectures and manage data migrations within cloud environments.
- Consult data analytics teams to ensure technical best practices are followed.
Requirements
- Professional experience in data engineering, big data, business intelligence, or data science.
- Proficiency in Spark, Python, Scala, and advanced SQL for large-scale transformations.
- Comprehensive understanding of cloud data warehousing and pipelines (GCP preferred, AWS or Azure acceptable).
- Experience with Google Dataflow, Looker, DBT, EMR, Airflow DAGs, and CI/CD pipelines.
- Expertise in database management, including performance tuning, backup, and recovery.
- Solid knowledge of data governance, data quality management, and version control using GitHub.
Nice to have
- Knowledge of Kubernetes.
- Experience with visualization tools such as PowerBI, Tableau, or Looker.
Culture & Benefits
- Work with the world's largest global brands on complex media analytics challenges.
- Collaborative environment consisting of highly skilled Architects, Data Scientists, and Consultants.
- Part of a global network of 30,000+ employees across 150+ offices worldwide.
- Inclusive culture that values connection, belonging, and diversity.
- Commitment to equal opportunity and professional career progression.
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