Data Engineer

In this Data Engineer role you will design and develop scalable data pipelines and integration solutions to support analytics and operational workloads. You will work with modern cloud technologies and real-time data platforms, contributing to data governance and quality standards. You’ll join a collaborative engineering team delivering large-scale data transformation initiatives, helping business units make data-driven decisions. This opportunity emphasizes growth, modern tech exposure, and cross-functional collaboration in a fast-paced environment.

• Bonus
• Pension
• Benefits
• Hybrid working

• Build and maintain scalable data pipelines for analytics and operations
• Develop data integration solutions across multiple sources and platforms
• Support real-time and event-driven data processing environments
• Work with cloud-native data services and architectures
• Contribute to data governance and quality standards
• Support CI/CD processes and engineering best practices
• Collaborate with analytics, application, and business teams to deliver reliable data solutions
• Participate in code reviews and continuous improvement initiatives

• Experience in data engineering, ETL development or data platform delivery
• Strong programming skills in Java or Python
• Exposure to Kafka, Spark or Flink
• Experience in cloud environments, ideally AWS
• Understanding of software engineering principles, version control and CI/CD
• Familiarity with container technologies and Infrastructure as Code tools
• Strong problem-solving skills and ability to work in Agile teams
• Excellent communication and stakeholder engagement skills

• problem-solving
• stakeholder engagement
• communication
• Java
• Python
• Kafka