Data Engineer

Data Engineer – Newcastle (Hybrid | 3 days onsite)

Salary: £45,000 - £65,000 + bonus

Overview

We are supporting the recruitment of Data Engineers to join a Global Consulting firmin their high-performing Advanced Technology Centre delivering large-scale data and technology solutions across both public and private sector clients.

This is a hands-on engineering role focused on building modern, scalable data platforms that enable analytics, AI, and real-time decision-making. You’ll work within a collaborative, cloud-first environment with strong emphasis on engineering best practice, continuous learning, and career development within a global delivery network.

Please note: This role requires BPSS and SC security clearance, meaning candidates must have 5 years continuous UK residency and be a British/EU passport holder or hold Indefinite Leave to Remain.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting batch and real-time processing
• Develop streaming and event-driven solutions using technologies such as Kafka, Flink, or Spark
• Build and optimise data pipelines primarily using Java, with exposure to Python and modern data tooling
• Integrate data from multiple sources using AWS services (e.g. Kinesis, MSK, Lambda, Glue)
• Apply data engineering best practices including data modelling, lineage, governance, and quality controls
• Contribute to cloud-based data architecture using modern patterns such as medallion architecture
• Support CI/CD pipelines and deployment processes using tools such as Jenkins, Azure DevOps, or GitHub Actions
• Implement Infrastructure as Code using Terraform or CloudFormation
• Work with containerised environments using Docker and Kubernetes (EKS)
• Collaborate with analytics, data science, and product teams to deliver high-quality datasets
• Participate in code reviews and support knowledge sharing across engineering teams
• Provide mentorship and guidance to junior engineers where required

Required Skills & Experience

• 3+ years’ experience in data engineering or large-scale data platform development
• Strong programming skills in Java (preferred) or Python
• Experience with Kafka, Flink, or Spark (streaming experience highly desirable)
• Strong understanding of streaming concepts (event time, state management, backpressure)
• Experience building ETL/ELT or real-time data pipelines
• Strong knowledge of CI/CD practices and tools (Jenkins, Azure DevOps, GitHub Actions, etc.)
• Experience with cloud platforms, ideally AWS (Azure or GCP also considered)
• Hands-on experience with Terraform and containerisation (Docker, Kubernetes/EKS)
• Exposure to distributed systems and large-scale data architectures
• Understanding of data governance, security, and data quality principles
• Experience working in Agile delivery environments
• Strong communication skills with ability to engage technical and non-technical stakeholders

Desirable Experience

• Exposure to Databricks, Snowflake, or BigQuery
• Cloud or data engineering certifications (AWS / Azure / GCP)
• Experience in consulting or client-facing environments
• Experience mentoring or leading junior engineers
• Background in low-latency or real-time data systems

Summary

This is an excellent opportunity for a Data Engineer looking to work on modern cloud-native data platforms within a fast-paced, collaborative engineering environment. The role offers strong technical variety across streaming, cloud, and DevOps practices, along with clear opportunities for progression within a global technology organisation.