Ampersand manages a fleet of batteries that our moto drivers change at one of our many Swap Stations. These batteries are used by more than 500 vehicles across multiple countries, which make 5 million km every month and swapped thousands of times a day. We are on our way to release more than 2000 batteries and vehicles in the next year.
All this data is collected and utilized by the infrastructure and tools that our software team develops in house. We would like to rethink how we approach collecting and making use of this vast amount of data to make us ready for scaling further.
This would be a role in the Software Engineering team of the Engineering organization. Your objectives will include the following:
Set up and improve Ampersand’s data infrastructure and pipelines, improve data quality and efficiency
data engineering concepts/tools and establish the culture in software engineering team
Help to shape Ampersand’s digital products through data driven decision making
Shape the data backend of Ampersand to allow for business intelligence to be easily extracted.
Harness machine learning as a way of optimizing Ampersands charging and battery infrastructure.
Mentor team members on how to use data engineering tools and integrate them in our daily work
Lead and review devops of the digital portfolio (Android app and AmperOps platform)
Ensure synergy between hardware and software by communicating and influencing decisions with other engineering team
You love to see your impact on the product as quick as possible
You love complicated systems where optimization is key
You are not afraid of infrastructure projects and like playing with hardware
You like working in a fast-moving agile environment
You are motivated by personal growth and seeing your teammates grow and develop
You are looking for an entrepreneurial company that values innovation and strong execution
You value diversity and community in the workplace
Minimum requirements
Minimum of 6 years of prior experience in Software Development
At least 2-3 years of experience in Data Engineering
Degree in computer science/electrical engineering is a bonus, but experience is also valued
Technical abilities with Linux, Bash, VM’s, Docker, Networks, Distributed systems
Writing code in Python/Go/Java/JS when needed to assist in components of the process
Experience in cloud systems (we use Azure)
Hands-on experience with commonly used Data Engineering tools (Apache Airflow, Tableau, Looker, Kafka.)
Familiarity with Scrum and Agile
A strong work ethic, and the ability to manage shifting priorities and unforeseen challenges
Strong communication skills with a supportive and nurturing disposition
(Bonus) Experience in a start-up environment
Timing
ASAP
Compensation:
A competitive compensation package commensurate with local market rates and experience including health insurance.
