Job Description
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 (eg 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 other