As a Data Engineer , you will: Build, optimise, and maintain scalable data pipelines (Java primary, with Python exposure)
Develop real-time streaming and event-driven integrations
Integrate data from multiple sources including streaming, batch, and APIs
Work with managed cloud services such as Kinesis, MSK, Lambda, and Glue
Contribute to data modelling, architecture patterns, and engineering best practice
Ensure data quality, lineage, governance, and security controls are embedded
Deploy and maintain data applications using CI/CD tooling
Use Infrastructure as Code to manage cloud environments
Collaborate across engineering, analytics, and product teams
Support and guide junior engineers where appropriate
Key Requirements
As a Data Engineer , you should have: Strong programming experience in Java (preferred) or Python
Experience building ETL/ELT or streaming data pipelines
Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred)
Good understanding of stream-processing concepts (event time, state, backpressure)
Experience with cloud platforms (AWS preferred; Azure or GCP also considered)
Knowledge of software engineering best practices (testing, CI/CD, Git)
Experience with containerised workloads (Docker, Kubernetes/EKS)
Comfort working in Agile delivery environments
Strong communication skills across technical and non-technical stakeholders
Eligibility to work on projects requiring UK Government BPSS and active SC clearance
You will gain exposure with:
Working as a Data Engineer , you will gain exposure to: Large-scale streaming and event-driven data platforms
Modern data architectures such as medallion and domain-oriented patterns
Enterprise data platforms such as Databricks, Snowflake, or equivalent
CI/CD pipelines and Infrastructure-as-Code practices
Client-facing delivery within regulated and security-conscious environments
Engineering teams delivering real-time, low-latency systems
Why Join? Work within a modern Advanced Technology Centre in Newcastle
Deliver data solutions that support analytics, AI, and operational insight
Develop strong cloud and streaming data engineering skills
Clear progression across senior technical pathways
Hybrid working model balancing flexibility with collaboration
Interested?
Additional Information
£Up to £60,000 GBP
Hybrid WORKING
Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent
Data Engineer
Newcastle upon Tyne | Hybrid (3 days onsite) | Permanent
Our client is a large-scale, delivery-focused technology organisation operating an Advanced Technology Centre in Newcastle, supporting complex data and digital programmes across both public and private sector environments.
As a Data Engineer , you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insight. You'll work as part of collaborative, agile teams to deliver cloud-based data platforms that support intelligent decision-making at scale.
This role is available at Senior Analyst and Specialist levels , offering clear technical development and progression opportunities within a supportive, hands-on engineering environment.
You'll have the opportunity to: Build and optimise large-scale data pipelines supporting analytics and AI use cases
Work on real-time and batch data processing platforms
Contribute to modern data architectures and engineering standards
Deliver cloud-native data solutions using industry-leading tools
Collaborate closely with analytics, AI/ML, and product teams
Grow rapidly within a technically strong, delivery-oriented environment
Efinancialcareers · Newcastle Upon Tyne