Data Engineer
Summary
Builds scalable data pipelines and real-time streaming platforms using Java, Kafka, and AWS services to power analytics and AI-driven decisions.
I’m 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 you’ll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making.
What you’ll 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 they’re 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?
- 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).