Senior Cloud & Airflow Automation Engineer

Deutsche Bank AG; Birmingham; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

Competitive salary & pension

30 days holiday + bank holidays

Job summary

Deutsche Bank AG in Birmingham is seeking a software engineer to join the Workload Automation team. You will develop and automate provisioning, configuration and management for centralized platforms including Control-M, Automic, Airflow and Google Cloud services.

The role focuses on building scalable APIs, integrating services and enabling automation across hybrid environments. Ideal candidates have strong Python skills, experience with CI/CD tooling and hands-on GCP exposure.

Qualifications

• Experience with full stack development with Python and API integrations.
• Automation and CI/CD tooling experience (Argos CD, GitHub Actions, GitLab, Ansible).
• Hands-on Google Cloud Platform experience (Terraform, Cloud Composer, BigQuery, Dataflow, Cloud Functions, Dataproc, Postgres).
• Understanding of Airflow services and integration in a platform ecosystem.

Responsibilities

• Develop solutions using Python, Kubernetes, Cloud services and API integrations.
• Build and orchestrate REST APIs across Airflow, Google Cloud Platform, Control-M and Automic.
• Drive IaC to automate provisioning, configuration and management of infrastructure.
• Deliver secure, scalable user interfaces, backend services and REST APIs.
• Own features from design and coding through testing, deployment and production monitoring.
• Integrate, configure, upgrade and maintain critical workload automation platforms and deliver automation solutions.

Skills

Python programming

CI/CD

REST API development

Cloud platforms

Problem solving

Tools

Argos CD

GitHub Actions

GitLab

Ansible

Terraform

Cloud Composer

BigQuery

Dataflow

Cloud Functions

Dataproc

Postgres

Airflow

Job description

Deutsche Bank AG in Birmingham is seeking a software engineer to join the Workload Automation team. You will develop and automate provisioning, configuration and management for centralized platforms including Control-M, Automic, Airflow and Google Cloud services.

The role focuses on building scalable APIs, integrating services and enabling automation across hybrid environments. Ideal candidates have strong Python skills, experience with CI/CD tooling and hands-on GCP exposure.