EnBW

We want our employees to feel secure – in every aspect. That is why we value stable working relationships, safely equipped workspaces, regular health checks and individual onboarding and development. Financial extras such as and allowances provide additional security.

Further benefits:

• 30 days annual leave
• Financial extras such as vacation pay and Christmas bonus, profit-sharing, an employee savings plan, company pension scheme, energy price discount and child bonus
• Leasing options for mobile devices and bicycles
• Discounted "Deutschland-Ticket" (train ticket)
• Flexible working models such as part-time hours and home office
• More about our various employer benefits at a glance

As a Data Engineer, you will enable the development of state-of-the-art cloud-based data pipelines and forecasting systems. This includes processing terabytes of market and weather data that needs to be read in milliseconds, as well as designing advanced forecasting platforms using both machine learning and quantitative modelling: 

• Participate in the full software development cycle, from initial design to production system maintenance.   
• Collaborate with Quant Developers, Data Scientists, stakeholders and domain experts to solve challenging business problems 
• Support our organization with development guidelines, best practices and common cloud architectures 
• Manage and communicate our requirements to infrastructure and operations teams 

• 5+ years of experience as a Software Developer with at least 2 years of experience in building and maintaining cloud applications and data pipelines 
• Strong skills in Python development, cloud computing infrastructure (ideally AWS) and software craftsmanship 
• Expert knowledge of: 
  • SQL and NoSQL database systems such as PostgreSQL, Oracle or Snowflake 
  • Containerization technologies such as Docker, Kubernetes and Linux 
  • Infrastructure as code tools, such as Terraform or Cloudformation  
  • CI/CD tools such as Azure DevOps, Github and Jenkins 
  • Working with and designing HTTP and Python APIs 
• Experience in trading or commodity markets, alternatively fundamental forecasting