Role Description Python Engineer responsible for developing, optimizing and maintaining engineering solutions on GCP. The candidate will work independently and collaboratively within cross-functional teams, contributing to medium and large-scale projects. The role requires hands-on expertise in Python development, cloud data engineering, The candidate should demonstrate strong problem-solving skills and a solid track record in agile environments.
What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
Hands on Python/Pentaho programming experience
Work with other engineers to support our adoption of continuous delivery, automating the building, packaging, testing and deployment of applications.
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Participating in agile development projects automation project deliveries.
Fast learner into order to understand the current data landscape and existing Python/Spark/Pentaho program to make enhancement.
Stakeholder communication
Contribute to all stages of software development lifecycle
Analyse user requirements to define business objectives
Define application objectives and functionality
Develop and test software
Identify and resolve any technical issues arising.
Create detailed design documentation.
Conducting software analysis, programming, testing, and debugging
Software upgrades and maintenance
Migration of Out of Support Application Software
Your skills and experience Core Python Skills
A strong grasp of fundamental and advanced Python concepts is the foundation:
Core Concepts: Proficiency in Python's syntax, data types (lists, dictionaries, tuples, sets), control structures, and functions.
Object-Oriented Programming (OOP): Understanding classes, objects, inheritance, and encapsulation to build modular and scalable applications is crucial, as the platform is object-oriented.
Exception Handling: The ability to manage errors gracefully using try and except blocks to ensure application stability.
Testing and Debugging: Expertise in unit testing using tools like PyTest or Unittest, and effective debugging to identify and fix issues in the code.
Modular Programming: Structuring code into smaller, reusable functions or classes for maintainability and collaboration.
Code Quality & Version Control: Adhering to best practices like PEP 8 style guidelines and using version control systems (Git, GitHub, GitLab) for collaborative development and change tracking.
Thought Machine Platform Specific Skills
In addition to general Python skills, specific knowledge of the Thought Machine ecosystem is required:
Smart Contract Engineering: The logic of financial products is defined in Python-based "smart contracts" within Vault Core. This requires skills in:
Defining smart contract headers and parameters.
Using lifecycle hooks and scheduled triggers to execute business logic.
Writing unit and simulation tests for financial products.
API Development and Integration: Proficiency in making and analyzing API requests (GET, POST, etc.) is essential for integrating the platform with other internal and third-party systems, such as CRM or onboarding services.
Cloud Platforms: Thought Machine's Vault Core is a cloud-native solution, so experience with cloud platforms (AWS, Azure, etc.) and understanding multi-process architecture for deployment is valuable.
Database Knowledge: Skills in working with databases, including an understanding of SQL and NoSQL databases and Object-Relational Mappers (ORMs) like SQLAlchemy, for efficient data storage and retrieval.
Working experience on GCP cloud environment will be plus.
Extensive experience with configuration management tools: Ansible, Terraform, Kubernetes, Docker, Helm or similar tools.
Extensive experience in understanding networking concept e.g. Firewall, Loadbancing, data transfer
General Professional Skills
Soft skills are also important for successful project delivery:
Analytical and Problem-Solving Skills: Essential for designing efficient solutions, optimizing algorithms, and debugging complex technical challenges.
Communication: Clear verbal and written communication skills are needed to collaborate effectively with technical and non-technical team members and stakeholders.
Adaptability & Collaboration: The ability to stay updated with new technologies and work effectively within a team environment
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we’ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
About us and our teams Please visit our company website for further information: https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
