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Java Engineer

Job in Telford, Shropshire, TF3, England, UK
Listing for: Experis Austria
Full Time position
Listed on 2026-10-06
Job specializations:
  • Software Development
    Data Engineering, Java Developer, AWS
Salary/Wage Range or Industry Benchmark: 120000 - 140000 GBP Yearly GBP 120000.00 140000.00 YEAR
Job Description & How to Apply Below

CONTRACTOR MUST BE SC CLEARED (active)
Role

Title:

Java Engineer (x2 seats)

Location:
Telford (Min 40% in office/Hybrid working)

Duration: 6 months contract
Total cost to Capgemini: 570
MUST BE PAYE THROUGH UMBRELLA
We are seeking experienced engineers who have experience of Data, API and Batch support and working within a Devops environment to join an existing team which is expanding.

  • Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time).
  • Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs.
  • Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security).
  • Support incident resolution and ensure service continuity within business hours.
  • Share knowledge, mentor colleagues, and contribute to Capgemini's engineering communities of practice.
  • Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams.
Required Skills
  • We are looking for candidates with a strong knowledge of engineering with the ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling.
Must have skills:
  • RabbitMQ
  • Java/Microservices
  • MongoDB/MySQL
  • Kubernetes
  • Grafana/Prometheus
  • Gitlab
  • Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow).
  • Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects).
Nice to have:
  • Experience with databases/data platforms (ideally Oracle or Cloudera).
  • Knowledge of cloud platforms (ideally AWS).
  • Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
  • Excellent client-facing and consultancy skills.
  • Experience working in Agile delivery environments.
  • Drive to share knowledge, mentoring and developing others.
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