Data Engineer

Sanderson Government & Defence; Newcastle upon Tyne; On-site; GBP 60,000 - 90,000; Full time

Job summary

Sanderson Government & Defence is seeking a Data Engineer to grow its data capability. You will design and build scalable data pipelines in Java (with Python exposure), work on real‑time streaming and event‑driven integrations, and integrate data from multiple sources using AWS services.

You will contribute to data architecture, governance and security controls, and support DevOps practices with CI/CD and containerisation. Experience with Kafka, Flink or Spark and cloud platforms is essential.

Qualifications

• Strong programming proficiency in Java or Python.
• Hands‑on experience with at least one of: Kafka, Flink, Spark.
• Experience building ETL/ELT or streaming data pipelines.
• Exposure to microservices and distributed system concepts.
• Experience working with cloud platforms.
• Understanding of CI/CD, testing and design patterns.

Responsibilities

• Build, optimize, and maintain scalable data pipelines using Java and 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.
• Contribute to data modelling, architecture best practices, and governance.
• Ensure data quality, lineage, governance, and security controls are applied.

Skills

Java

Python

Streaming data

CI/CD practices

Cloud platforms

Data modeling

Security controls

Tools

Kafka

Flink

Spark

CI/CD tooling

Infrastructure as Code

Container technologies

Job description

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.

Key Responsibilities

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

Core Data Engineering

• 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.

If you're interested in the above, apply or reach out to [e-mail].

Reasonable Adjustments

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.