Sr. Data Engineer
Hays
Your new company
Join a high-performing, data-first technology team building a best-in-class Retail Media platform. This team is focused on delivering innovative ad tech solutions that enable internal and external users to create, manage, and measure advertising campaigns at scale. You’ll be working in a fast-paced, product-driven environment where data sits at the heart of every decision.
Your new role
As a Senior Data Engineer, you will play a key role in designing and building scalable data solutions that power advertising analytics and reporting across the Retail Media Platform.
You will:
- Build and optimize scalable data pipelines to support campaign reporting and analytics
- Analyze data to uncover patterns, identify issues, and ensure high-quality reporting outputs
- Develop robust data models and semantic layers to support downstream analytics
- Automate reporting pipelines and contribute to real-time streaming dashboards
- Design and implement data validation and testing strategies to ensure data integrity
- Optimize queries and performance across different layers of the data pipeline
What you'll need to succeed
- 5+ years of experience as a Data Engineer
- Strong experience building data pipelines using Python, Java, or Scala
- Hands-on experience with GCP tools (e.g., BigQuery, Dataproc)
- Experience with modern data stack tools such as DBT and Airflow
- Experience working with non-relational databases (e.g., Bigtable, Druid)
- Strong SQL skills with the ability to write complex queries and perform deep analysis
- Solid understanding of data warehousing concepts
- Experience working in cloud environments (GCP, AWS, or Azure)
What you'll get in return
- Opportunity to work on a cutting-edge Retail Media / Ad Tech platform
- Highly collaborative, cross-functional team environment
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
$57.46 - $67.04 per hour
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