Senior Data Engineer

TL;DR

Senior Data Engineer: Building and maintaining scalable data pipelines and models for digital marketing solutions with an accent on cloud data warehousing and ETL optimization. Focus on designing robust data architectures, ensuring high data quality, and collaborating with cross-functional teams to support business intelligence initiatives.

Location: London, England, United Kingdom

Company

hirify.global is a world-leading Centre of Excellence within the WPP network, specializing in hyper-personalization, marketing automation, and CRM solutions for global brands.

What you will do

• Identify, collect, and integrate data from diverse sources by building high-quality pipelines.
• Develop and optimize code to ensure efficient, cost-effective, and maintainable data flows.
• Design monitoring procedures and tools to guarantee data quality and resolve ETL incidents.
• Collaborate with data scientists, CRM developers, and product owners to align data with business goals.
• Design data architectures and support migrations within cloud environments.
• Consult analytics teams on technical data usage and best practices.

Requirements

• Experience in data engineering, big data, or data science.
• Proficiency in Spark, Python, or Scala.
• Excellent SQL skills for large-scale data transformation.
• Comprehensive understanding of cloud data warehousing and ETL processes.
• Experience with cloud-based data infrastructures (GCP preferred, AWS or Azure acceptable).
• Knowledge of data governance, profiling, and validation best practices.

Nice to have

• Knowledge of Kubernetes.
• Experience with visualization tools like PowerBI, Tableau, or Looker.

Culture & Benefits

• Part of a global network with over 30,000 employees.
• Collaborative environment working with diverse technology and creative teams.
• Commitment to fostering a culture of respect, belonging, and equal opportunity.
• Focus on professional growth and career progression within a large-scale agency environment.