Senior DevOps Engineer for Growth Hacking – Product company – Remote – CIM – Preferably Cluj or Timisoara

THE COMPANY
We are one of the strongest operators of European energy networks and energy-related infrastructure
We are going to be the energy company that revolutionizes the availability of energy
We are going to be the energy company that supplies energy for the digital age
We are going to be the energy company that enables people to produce their energy anywhere
We are going to be the energy company that stands for a climate-conscious community of unlimited possibilities
THE PROJECT
The project is a wide data transformation programme over the next three years which seeks to create a data-driven tomorrow, both in terms of customer interaction, middle- and back office activities. Harnessing the power of our data will dramatically improve our decision making and time to market, increase efficiency gains and drive new innovations
The project is about developing a data model of the network and its assets. We store countless data about our network and keep it in different IT systems. However, it is important to have a single model. Data is often distributed and stored for different purposes. With this project we want to give all this data a new home and thus bring it under one roof.
Inconsistencies within the data are logged. There is easy access to the network data, which makes it easy for everyone involved to quickly understand the model and to create their own evaluations. The project also provides the framework for future apps to access the data. New apps no longer have to laboriously gain access to every single source system. The solution is designed to efficiently deliver the data required to authorized applications
THE TEAM
Growth hacking / boosting team: advanced analytics and A.I. solutions for optimizing all activities around customers acquisition, retention and servicing
RESPONSIBILITIES

  • Deploy and maintain machine learning and other statistical models on MS Azure infrastructure
  • Coordinate development and maintenance with internal data scientists
  • Closely work together with the enterprise architecture team and the responsible data owner unit
  • REQUIRED EXPERTISE:
  • Degree in Computer Science or related field with strong focus on programming in a data context
  • Experience in deploying ML projects on cloud infrastructure like Microsoft Azure
  • Strong programming skills especially in python (R is a plus)
  • Knowledge of or experience working with database-like systems (e.g. SQL, NoSQL, Hadoop), SQL-like query languages and web APIs
  • Proficiency using common technologies for deployment of machine learning models, e.g. Docker, Kubernetes, Terraform, Azure Batch, Azure ML, Databricks
  • Knowledge of AWS is a plus
  • Experience working in a multinational work-environment
  • Ability to quickly understand business processes and the data produced by them
  • Strong communication and organisational skills
  • Fluent in English