About Evyon’s Digital Twin and AI Analytics
We are developing our Digital Twin and AI platform to rapidly, accurately and continuously leverage the use of second-life batteries across the value chain in order to maximize the value of every battery. We use innovative analytics to understand battery states and behaviors, and thus ensure they are repurposed and operated optimally, safely, and sustainably.
Who are we?
Evyon is a startup with the mission of enabling maximum value generation from second-life EV batteries by repurposing them in a streamlined, safe, and cost-effective way.
We are looking for people with passion and grit that can help evolve Evyon’s international success story. We encourage you to apply even if your experience doesn't precisely match the requirements list. Experience with battery systems or similar is of special interest.
At Evyon, we welcome diverse perspectives and people who think rigorously, boldly and aren't afraid to challenge assumptions.
We dream big. We solve problems fast. We move mountains. We do this by being flexible, supportive, and inclusive.
As a Data Engineer in Evyon, you will be part of the strategic drive in working along with multi-disciplinary teams through the full lifecycle of complex data product delivery. You will gather and provide a clear understanding of large-scale data engineering and data science solutions, deliver use cases for our customers, develop practical solutions and implement them to build Evyon’s AI platform a competitive edge.
You develop your experience in both engineering and architecture across technology disciplines and the unique challenges of each, including software development, automated test and quality assurance, and integration.
You will be delivering a high-quality and innovative data-driven solution that will have a massive positive environmental impact by optimizing battery (re-)utilization. This will include working together with the AI team on understanding the technical challenges and customer needs, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring multi-discipline technology teams.
What will you be doing?
Engineer the data pipelines between our AI analytics modules and our cloud-based data platform
Work at the interface between software development and big data analytics to identify and implement infrastructure solutions that enable efficient data transfer between the two layers
What are the ideal qualifications?
Experience supporting data scientists (e.g. Python, R, SAS)
Experience/Knowledge of IT infrastructure, cloud development (Google Cloud Platform) and cloud-based MPP technologies (BigQuery or similar)
Expertise in setting data pipelines, data warehouses, data lakes, ETL, etc.
Experience in data management, quality, metadata management, etc.
Strong Data Analysis & Modelling skills
Fluency in English is a must
What are we offering?
We offer growth opportunities, a competitive salary, a flexible and engaging work environment, personal development support, five weeks of vacation, parental leave salary matching, a mobile subscription, and an ownership stake in a bold company in one of the fastest-growing industries in the world.
You will play a key role in developing a revolutionary product that will change an entire industry and have a positive environmental impact.
Apply below - and don't hesitate to get in touch with any questions!
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Social gatherings and games; hang out with your colleagues.
You know how you perform best. Work from your couch, your favorite cafe or abroad when you feel like it.
Easy access and treehugger friendly workplace.
We take care of you, even when you are old and wrinkly.
Friday is something special, let's enjoy a beer together.