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# Data Engineer

- **Company:** 17918
- **Location:** Otterburn, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Continuous Integration, Data Architecture, Information Engineering, DevOps, Distributed Systems, Python (Programming Language), Apache Spark, Cloudformation, SC Clearance, Event Driven Architecture, Kubernetes, Apache Flink, Real Time Data, Apache Kafka, Video Streaming, Terraform, Data Pipelines, Docker
- **Published:** July 29, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/42331196/

## About the Role

theyre looking for Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka / Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects Exposure to modern cloud and streaming technologies Strong career progression within a global organisation Collaborative, innovation-focused engineering culture Please note: This role requires eligibility for UK security clearance (5 years UK residency). TPBN1_UKTJ

## Description

Data Engineer Newcastle (Hybrid) Permanent Competitive salary + package Im currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients. This is a hands-on role where youll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation) Collaborating with analytics, AI, and product teams to deliver high-quality, reliable datasets What


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