Senior Data Engineer - Revenue Management Systems
6 Month Contract

Are you an experienced Senior Data Engineer with a passion for building and optimizing complex data solutions in Revenue Management Systems? Our client, is seeking a talented professional to join their dynamic team and drive data infrastructure excellence.

About the Role

As a Senior Data Engineer, you will play a pivotal role in designing, developing, and maintaining data pipelines and infrastructure that power the company's Revenue Management Systems. You'll work closely with cross-functional teams to ensure data accuracy, scalability, and performance, enabling data-driven decision-making and maximizing revenue growth.

Key Responsibilities

Design, build, and maintain robust and scalable data pipelines and architectures.
Develop and implement data models to support revenue optimization and predictive analytics.
Collaborate with data scientists, analysts, and business teams to define data requirements and deliver insights.
Optimize data processing and ETL performance to handle large-scale data sets efficiently.
Ensure data quality, integrity, and security across all systems.
Automate data workflows and implement best practices for data governance and compliance.

Skills & Experience Required

- 5+ years of experience in Data Engineering, preferably within Revenue Management Systems.
- Strong proficiency in SQL, Python and PySpark
- Experience with AWS, Snowflake and Databricks
- Deep understanding of data modeling, ETL development, and data warehousing principles.
- Proven experience working with large, complex data sets and real-time data processing.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Experience with machine learning or statistical models for revenue forecasting is a plus.

Apply today to join a forward-thinking company where your skills and experience will make a real difference.