Senior Airflow/ Cloud Engineer (Workload Automation) at Deutsche Bank – Birmingham | Jobyssey

This software engineering position is specifically focused within Workload Automation and is responsible for availability, latency, performance, efficiency, change management, monitoring, automation, emergency response, and capacity planning for the centralized platforms of Control-M, Automic, Airflow as well as Google services Cloud Composer, Workflows and Scheduler which are utilized across the Bank for workload automation/job scheduling/batch job management
This position will complement someone with a software engineering mindset, who is proficient coding with Python, has experience with API integration and orchestration, ServiceNOW integration and Ansible yaml development to proactively build and implement services for Control-M, Automic and Google Cloud Composer automation
Demonstrate a wide range of technological expertise including Airflow, Google Cloud Platform, Control-M or Automic and a general understanding of industry practice around REST based API orchestration
Be an active, contributing engineer for the integration of Apache Airflow into the IT landscape by technically and organisationally helping to drive the adoption
Design and implementation of new concepts for improvement or replacement of existing processes, especially from Control-M or Automic towards Airflow or Google Could Composer
Integration, configuration, upgrade, maintenance and introduction of new capabilities to our critical Workload Automation products responsible for batch scheduling and API orchestration
Being able to design concepts and take over development activities, identify automation opportunities as well as solutions in a self-reliant manner
Sound and relevant Airflow or Workload Automation architecture experience is a must

Experience with Workload automation tooling, preferably Apache Airflow, Control-M and/or Google Cloud Composer using standard agile SDLC techniques
Hands on experience in Google Cloud Platform using following GCP services Terraform, Cloud Composer, BigQuery, Dataflow, Cloud Functions, Dataproc, Google Transfer Service, Postgres
Experience with installing, configuring and monitoring Airflow cluster, strong Python
Experience in developing guidelines for Airflow clusters and DAG’s, working knowledge of performance tuning of the DAG’s and task implementation, developing DAG - data pipeline to on-board and change management of datasets
Understanding of Airflow rest services and integration of Airflow ON A platform eco-system

End Date: August 2, 2026

Senior Airflow/ Cloud Engineer (Workload Automation)

Similar jobs

Senior Airflow/ Cloud Engineer (Workload Automation)

Senior Cloud Engineer – GCP – VP (eDiscovery & Archiving Technology)

Data Warehouse Software Engineer III

Senior Software Engineer (Data Engineering and Infrastructure)

Senior Data Engineer

Similar jobs

Senior Airflow/ Cloud Engineer (Workload Automation)

Senior Cloud Engineer – GCP – VP (eDiscovery & Archiving Technology)

Data Warehouse Software Engineer III

Senior Software Engineer (Data Engineering and Infrastructure)

Explore more jobs

Senior Data Engineer