Wejo is a leader in the connected car market and is shaping the future of mobility. The connected car space is one of the fastest growing sectors in the internet of things industry. Car manufacturers are looking to extend traditional infotainment systems, insurers are seeking a better understanding of risk, users are demanding more feedback and firms are generating increasing amounts of data and require support in understanding its applications and value. We specialise in creating new services and products to help clients make the most of their data and realise its value
We bring together the brightest minds and industry experts with award-winning platform technology and advanced privacy and security to revolutionise the way we live, work and travel using connected car data, insights and analytics.
At Wejo our values drive our culture, shape our interactions and help us to achieve our goals. These values are turned into meaningful behaviours and embody our employees. We are bold, collaborative and responsible.
The role of the Data Engineer is to build and maintain Wejo’s data platforms and products, including both stream and batch processing systems. As a Data Engineer at Wejo you will be accountable for designing and developing complex and cutting-edge data processing products, collaborating with product team to design and develop solutions.
You will also find yourself getting involved in investigating technologies, R&D and POC approaches whilst utilising your strong aptitude for problem solving.
By joining Wejo as a Data Engineer you would have the unique opportunity to gain exposure to the latest technologies and cutting-edge approaches in a tech playground environment.
WHAT YOU'LL NEED AS A DATA ENGINEER
- Experience in Big Data or in software development.
- Experience with Java or Scala.
- Experience working with an Agile environment.
- Experience working with container solutions like Docker or Kubernetes.
- Experience with cloud computing environments. E.g. AWS or Azure.
- Experience developing stream-processing systems like Kafka, Spark streaming etc.
- Experience with relational and NoSQL database