Hybrid DataOps Engineer – Cloud Data Pipelines & DevOps

Capgemini; Greater London; Hybrid; GBP 43,000 - 62,000; Full time

Job summary

A global technology transformation partner is seeking a Data Ops Engineer to design and automate data pipelines within Kubernetes environments. The role requires proficiency in tools such as Airflow, Docker, and CI/CD principles. Ideal candidates will have experience with data orchestration and cloud technologies, contributing to innovative data solutions. This hybrid role fosters a positive work-life balance and offers numerous career development opportunities.

Benefits

Flexible working arrangements

Access to 250,000 courses

Training and development opportunities

Qualifications

• Proficiency in data pipeline orchestration tools.
• Extensive experience with Docker and Kubernetes.
• Proficiency in CI / CD principles and tools.

Responsibilities

• Design and automate data pipelines using orchestration tools.
• Containerise data applications using Docker.
• Manage CI/CD pipelines for data applications.

Skills

Data pipeline orchestration tools

Docker

Kubernetes

CI / CD principles

Open-source data tools

IaC concepts

Data architecture principles

Monitoring tools

Tools

Airflow

Prefect

Dagster

Terraform

Ansible

Grafana

Prometheus

Job description

A global technology transformation partner is seeking a Data Ops Engineer to design and automate data pipelines within Kubernetes environments. The role requires proficiency in tools such as Airflow, Docker, and CI/CD principles. Ideal candidates will have experience with data orchestration and cloud technologies, contributing to innovative data solutions. This hybrid role fosters a positive work-life balance and offers numerous career development opportunities.