At a Glance
- Tasks: Manage and improve workload automation using cutting-edge tools like Airflow and Google Cloud.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Embrace a culture of continuous learning and career growth opportunities.
- Why this job: Make a real impact by enhancing automation processes in a dynamic tech environment.
- Qualifications: Experience with Airflow, Python, and cloud services is essential.
The predicted salary is between 50000 - 65000 £ per year.
The role is focused on managing and improving availability, latency, performance, efficiency, change management, monitoring, automation, emergency response and capacity planning for centralized platforms including Control-M, Automic, Airflow, Google Cloud Composer, Workflows and Scheduler. The engineer bridges development and operations, designing and developing new features, expanding and supporting existing ones, and learning new technologies to enhance the organization’s offerings.
Key responsibilities include:
- Demonstrate expertise in Airflow, Google Cloud Platform, Control-M or Automic and REST‑based API orchestration.
- Contribute to the integration of Apache Airflow into the IT landscape, driving adoption technically and organizationally.
- Design and implement concepts for improving or replacing existing processes from Control‑M or Automic towards Airflow or Google Composer, including integration, configuration, upgrade, maintenance and introduction of new capabilities.
- Develop solutions, identify automation opportunities and lead development activities in a self‑reliant manner.
- Apply strong Airflow and workload‑automation architecture experience.
Skills and experience required:
- Experience with workload‑automation tooling, preferably Apache Airflow, Control‑M and/or Google Cloud Composer using standard agile SDLC techniques.
- Knowledge of developing guidelines for Airflow clusters and DAGs, performance tuning, task implementation, and data‑pipeline development for onboarding and change management.
- Installation, configuration and monitoring of Airflow clusters; strong Python programming skills.
- Understanding of Airflow REST services and integration within the platform ecosystem.
- Hands‑on experience with Google Cloud Platform services: Terraform, Cloud Composer, BigQuery, Dataflow, Cloud Functions, Dataproc, Google Transfer Service and Postgres.
- Proficiency with API integration and orchestration, ServiceNOW integration and Ansible YAML development.
Benefits and support:
- Hybrid working model with remote and flexible hours.
- Competitive salary and non‑contributory pension.
- 30 days holiday plus bank holidays, with option to purchase additional days.
- Life Assurance and Private Healthcare for employee and family.
- Flexible benefits: Retail discounts, Bike4Work scheme, gym benefits.
- CSR programme participation and 2 days volunteering leave per year.
- Training and development to support career growth.
- Flexible working to balance personal priorities.
- Coaching and support from team experts.
- A culture of continuous learning.
We value diversity and are an equal opportunities employer. We make reasonable adjustments for those with a disability, such as provision of assistive equipment if required. If you have a disability, health condition or require adjustments during the application process, please contact our Adjustments Concierge at adjustmentsconcierge@db.com. We welcome applications from all people and promote a positive, fair and inclusive work environment.
