50240704P4A1 - Data Engineer/Python Dev [95% Remote]

In the context of developing a modular control center system (MCCS), the master data team provides systems and solutions to handle and provide master data. The provided products of the product line include generic services and specific data products that are used by services in other modules and are enabler for user facing products like monitoring or control. Further, the whole product cluster uses a CIM-based data modelling approach and the data team supports other teams to provide services for monitoring and control of the power grid.

Tasks:
• Develop backend services using python, kafka, postgres, k8s
• Develop, maintain and use deployment pipelines (following infrastructure as code paradigm)
• Development of interfaces to provide data to other services
• Producing clean, efficient code based on specifications and guidelines
• Development of Data Pipelines (e.g. ETL Job)
• Database development and maintenance
• Design Data Models for multiple technology paradigms (e.g. Graph, schemaless, relational, …)
• Self steered pick up on the assigned software development track and incidents
• Collaborate with peers in the assigned projects such as TMD architects, other members of the SCRUM product team and experts and Data Architects
• Development of intuitive software that meets the requirements of the company 50Hertz as well as the
handover to the project manager
• Professionally maintain all software and create updates regularly to address customer and company concerns
• Analyze and test programs and products before formal launch
• Troubleshoot coding problems quickly and efficiently
• Actively seek ways to improve business software processes and interactions
• Preparation of training materials and delivery of training to other project team members in the use of software applications
• Join daily stand-up meetings and project meetings on site or remote and work in a scaled scrum environment

Goal:
• Implementation of generic data processing services
• Implementation of pipelines to ingest and integrate data
• Definition of data models
Offer requirements/profile requirements
• Experience in the energy industry is a plus,
• Experience in front end development is a plus,
• Knowledge of build and deployment pipelines in Azure or other CI/CD systems is a plus

Necessary competencies:
• The base of the profile is a completed degree in computer science, technical computer science, or a comparable qualification
• Hands on knowledge about building python microservies and best practises around that topic
• Experience implementing data processing pipelines
• Experience of streaming technologies (Kafka) and respective libraries
• Experience in deploying software on Kubernetes systems
• Experience in developing complex application landscapes and web applications (Applikationsserver, Databases, Middleware, Message Queueing), preferably using distributed architectures
• Experience to deploy and operate developed software and backend services on production systems
• Sound knowledge of programming with python
• High standards regarding software quality, documentation and automated testing
• English knowledge (B2)
• Budget: 750-850€/day