Senior Data Engineer

Join a global payments technology leader to design and deliver large-scale data engineering solutions powering analytics and machine learning. You’ll lead the development of scalable data pipelines, collaborate with Data Scientists and Product teams, mentor engineers, and drive best practices across a modern Big Data environment.

Key Requirements:

* 8+ years’ Data Engineering experience

* Strong Python, Scala or Java

* Apache Spark / PySpark & Databricks

* Hadoop ecosystem (Hive, Impala, Airflow, Oozie, NiFi, Sqoop)

* SQL, Linux/Unix, Relational & NoSQL databases

* Experience leading technical teams and delivering enterprise-scale data platforms

Nice to Have:

* AWS or Azure

* Cloud-native data engineering

* Machine Learning pipeline experience

Ideal for an experienced Data Engineering professional who enjoys solving complex technical challenges, leading high-performing teams, and building scalable data platforms in an Agile environment.