AMS.small - Data Engineer

We are looking for talented individuals in the Data Engineering space to support with a Mercedes-Benz Quality Survey based product. This individual will be responsible for data management and integration within the cloud environment.

• Expert knowledge within Cloud based environment specifically AZURE.
• Will support with everything data related within this product space from ingestion, integration, manipulation, monitoring, reporting, as well as data management support.
• Should have sufficient Devops toolchain knowledge

Job Requirements

• Demonstrated ability to foster an environment for ideation, prototyping and production
• Demonstrated business acumen to take a design to implementation and have experience scaling a concept
• Must have IT Development and Systems Knowledge
• Experience with software development methodologies and practices (Agile, Scrum, etc.)
• Experience in Data Analysis and Advanced Proficiency in Microsoft Office
• Strong Leadership Behaviours with good People Management skills and Problem Solving Skills
• Strong Interpersonal skills to manage relationships with a variety of partners and stakeholders
• Must have an excellent ability to multi-task effectively working on several projects synchronously
• Experience in rolling out initiatives that leverage multiplatform technologies
• Willingness to travel nationally and internationally
• Willingness to work a 3 shift model
• Ability to perform the minimum required physical and mental requirements of the function.
• Leadership behaviours as per LEAD

Outputs

• Liaise directly with various Mercedes-Benz manufacturing plants worldwide to provide product and service support.
• Manage and coordinate system upgrades/bug fixes and support with product testing.
• Design and model solutions for customer innovation and experience.
• Design, research, develop, analyse and suggest new concepts as well as strategies.
• Lead and direct different cross-functional programs and projects of varied sizes and types concurrently.
• Coordinate all cross-functional activities, represent customers internally and collaborate with leaders in varied areas on allocation across projects and resource planning.
• Ensure to exercise decision-making and independent judgment while being aligned with customers and management.
• Promote innovations to support business requirements through activities that test, pilot and implement innovative concepts
• Roll out and analyse the effectiveness of initiatives that leverage multiplatform technologies
• Performing all outputs in compliance to the Company's Integrity Codes & S.H.E.Q requirements and to perform delegated S.H.E.Q. tasks and duties & to inform superior about deviations

Qualifications And Experience

• Minimum NQF 7 BSC/BCom/BTech in Information Technology or B. Eng. (Industrial Engineering) or relevant equivalent.
• Minimum of 5 years experience in IT/Manufacturing, or
• At least 6 months participation on our MBSA Graduate Development Programme

Knowledge:

• Kubernetes/Docker Knowledge
• Very advanced in Databricks
• Data Engineering
• AZURE DevOps
• Containerisation (Kubernetes/Docker) Advantageous
• Database (PostgreSQL)
• Monitoring management
• Middleware Integration
• Microgateway knowledge
• Data Ingestion
• Expert Kafka experience and Knowledge
• API orientated approach and knowledge
• Understanding of object-oriented programming
• Experience in Test Driven Software Development
• Knowledge of software and business process modelling techniques and tools (e.g. UML)

Working Model

• Knowledge and application of agile project management methods (e.g. Scrum, Kanban) and tools (e.g. Azure DevOps); DevOps concepts and tools; innovative methods like design thinking.

Security

• Knowledge of commercial and open source security tools; computer and network security, authentication and security protocols; IT security architecture; penetration testing techniques and tools.

Customer Support

• Knowledge of help desk and support services; incident and problem management
• Experience with incident systems, ticketing systems (e.g. ServiceNow) and monitoring tools; in providing 24/7 on-call support for high-availability systems; customer relationship management

Closing date: 27 February 2023