Junior Data Engineer - SC Cleared

Neweasy
London, UK
1 day ago
Apply on www.reed.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
£78,000.0 - £97,500.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Data as a Services Information Engineering DevOps Python (Programming Language) Software Engineering Data Processing Kubernetes Apache Kafka Software Coding
+1 more
Data Pipelines

Job description

We are looking for a Data Engineer to join a large-scale public sector data programme, supporting the development and maintenance of secure, scalable data services.

The role would suit an engineer with strong Java and Python capability, alongside practical experience working with event-driven and containerised platforms., * Develop and maintain data engineering solutions using Java and Python.

  • Build and support data pipelines and processing services.
  • Work with Kafka for event-driven data processing and streaming.
  • Deploy and support services within Kubernetes environments.
  • Contribute to testing, troubleshooting and continuous improvement of data services.
  • Work collaboratively with senior engineers, DevOps and wider delivery teams.
  • Follow established engineering, security and coding standards.

Requirements

  • Commercial Java development experience.
  • Strong Python skills.
  • Practical experience with Apache Kafka.
  • Experience working with Kubernetes.
  • Understanding of modern data engineering and software engineering practices.
  • Comfortable working within Agile, multidisciplinary delivery teams., * Data Engineer
  • AWS
  • Kafka
  • Python

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all