Valerann is an exciting, rapidly growing AI mobility scale-up. We are a diverse and driven team that is making the road-based transport sector safer, greener, and more equitable through our unique AI and data analytics platform.
We work with governments and the world’s largest road operators to make our roads safer, greener, and less congested. Our product already serves roads in Europe, the US, Latin America, and the Middle East and helps road traffic authorities to have a good understanding of real-time traffic conditions and risks.
We do that through data, a lot of data. Our algorithms constantly ingest and process very large sets of structured and unstructured data coming from a broad range of disparate data sources, including connected vehicles, cameras, and crowdsourcing platforms. Our know-how is in deep data fusion and analytics. Our passion is to empower our customers with the tools to use that data to make our journeys safer and greener.
We have made tremendous progress to date, and we need your help to support our growth.
We are looking for a data engineer to help us improve our data pipelines and APIs. Each normally includes 5-10 microservices and ingests real-time data from sensors, cameras, weather stations, connected vehicles, etc. As we are serving mission-critical clients, our pipelines must be highly available, low latency, scalable, and low cost. Your responsibilities will include:
- Working across our incident, computer vision, accident risk, weather analytics, and traffic data pipelines.
- Developing microservices: adding features, improving performance, security, cost
- Monitor the pipelines and ensure our systems meet our KPIs
- Working side by side with data scientists, DevOps engineers and product managers
Requirements
- BSc in Computer Science, Mathematics or a similar field; a Master’s degree is a plus
- 6+ years of Proven experience as a Data or software Engineer + 2 years recent experience developing services in Python.
- Understanding of data structures, data modeling, and software architecture
- Deep knowledge of maths, probability, statistics, and algorithms
- Ability to write robust code in Python (OOP, DDD, TDD, Asyncio)
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- Engineering - Kafka, Postgres, Airflow, Docker, Data connectors
- Cloud - AWS, Terraform,
- Analytics - SQL
- Tools - Github, Jira
- Excellent communication skills
You should also be someone who:
- Enjoy building things that last
- Enjoy working in a start-up environment: Working in a small Agile team, and taking initiatives
Our Interview Process
- Initial phone screening
- Technical interview
- Final interview with the CTO
*The company is an equal-opportunity employer *
Benefits
- Health insurance.
- Gym membership.
- Breakfast, weekly socials and lunches.
- Quarterly Hackathons.
- Generous learning budget.
- Conference opportunities.
