The challenges of the energy transition require not only the construction of more infrastructure but also the creation of smarter solutions. Our Data Science teams contribute to this!
Within a team of Data Engineers, Machine Learning Engineers and Data Scientists, you will outline the approach to develop an optimal solution to make predictions several times a day for hundreds of points in our grid load, with the aim of planning maintenance and managing grid congestion. Additionally, you will work on different use cases, leveraging the same predictive modeling techniques to address other operational challenges and improve overall grid efficiency.
You will collaborate with three other Data Science teams and various other teams within the IT landscape of Enexis in an Agile and dynamic working environment to make the necessary data available and usable for highly pressing business issues.
Job Description

JOB REQUIREMENTS:

• 4+ years of work experience as a Data Engineer.
• Team Player: Collaborative mindset and strong communication skills to work effectively with diverse teams.
• Agile Mindset: Experience working in Agile environments and a strong understanding of DevOps principles.
• Effective Communicator: Ability to clearly articulate complex concepts and actively share knowledge with the team to foster a culture of continuous learning and improvement.
• Data Engineering skills: data pipelines, data lineage, ELT/ETL, DBT, data cleaning, data validation, data wrangling, imputation methods, optimizing SQL queries.
• Experience with engineering and deploying containerized applications in the cloud, AWS is mandatory.
• Programming languages: Python, Python packages: PySpark, Pandas, SQLAlchemy.
• Containerization: Docker or Podman.
• Strong Software Engineering skills, in-depth knowledge of software engineering principles.
• Knowledge and experience in the energy sector is a plus.
• Knowledge and experience with Machine Learning models is a plus.
  Salary and Benefits

And of course, we also invest energy in you at Enexis, you work at the forefront of one of the greatest challenges of our time: the energy transition. We take good care of you. This starts with an extensive welcome package and program to get to know your colleagues. And with good employment conditions:

• Salary between € 3,863 and € 5,519 gross per month (based on 40 hours per week). Including secondary benefits, your salary can go up to € 7,103 gross per month.
• Personal budget of 10% and a 13th month of 10.7% of your gross annual salary. You can use this flexibly or have it paid out monthly or annually.
• 24.5 vacation days for a full-time position. Need more recharge time? With your personal budget and 13th month, you can buy up to 35.5 extra days off.
• 70% contribution to your ABP Choice Pension.
• Opportunities to work from home, including a home office setup provided by us and a reimbursement of € 2,40 per home working day.
• Laptop or tablet and phone that you can also use privately.
• Travel allowance and a first-class public transport subscription for business use.
• Vitality budget of € 500 for, for example, a gym membership.
• Room to grow with our internal development platform or external courses and training.

Read more about our employment conditions.

GOOD TO KNOW

After your application, you will receive an email with more information about the procedure. Usually, it consists of two interviews: a first (online) interview with the manager and recruiter, and a second interview with your future colleagues on-site.

• Collaborate within a multifunctional team.
• Design, implement, deploy, and maintain Data Pipelines & Machine Learning solutions.
• Engage in Data Engineering tasks including managing data lineage, performing ELT/ETL processes, data cleaning, data validation, data wrangling, applying imputation methods, and optimizing SQL queries.
• Improve Alerting and Monitoring, integrating it into the daily work process.
• Automate processes such that your team remains focused on development.
• Coaching junior colleagues and improving the general knowledge/skillset within the team.
  Job Requirements