Data Engineer

Data Pipeline Development

• Build, optimize, and maintain scalable data pipelines using Java, plus exposure to Python, Flink, Kafka, or Spark.
• Develop and support real-time streaming pipelines and event-driven integrations.
• Integrate data from multiple sources using AWS managed services

Data Architecture & Standards

• Contribute to data modelling, data architecture best practices, and modern patterns
• Ensure data quality, lineage, governance, and security controls are applied consistently.

DevOps & Deployment

• Deploy and maintain data applications using CI/CD tooling
• Use Infrastructure as Code to manage cloud environments.
• Work with container technologies

• Strong programming proficiency in Java or Python.
• Hands-on experience with at least one of: Kafka, Flink, Spark
• Solid understanding of stream processing concepts
• Understanding of software engineering best practices: testing, design patterns, CI/CD, Git.
• Experience building ETL/ELT or streaming data pipelines.
• Exposure to microservices and distributed system concepts.
• Experience working with cloud platforms
• Understanding of distributed compute, large-scale data systems, and performance considerations.

DevOps & Engineering Practices

• Experience with CI/CD tools
• Infrastructure-as-Code
• Experience with containerisation and orchestration platforms

This role will require you to be willing and eligible to undergo UK security clearance.

Sanderson are working with a consulting client who are looking to grow their Data capability. The client is seeking candidates who have experience with pipeline development, architecture and deployment.