Assignment description

Are you the Senior Cloud-based Data/Software Engineer for that our customer is looking for their Data and Analytics Platform Operations and Engineering team? The team develops and maintains a cloud-based data platform solution that performs collection, processing, and publishing of data from cars. This is used by other teams within the company to draw conclusions about the car, improving product performance and customer experience.

In your role as Senior Cloud-based Data/Software Engineer, you have the opportunity to work in an agile way of working where you will be part of an empowered product team that strives for continuous learning and improvement. You and your team will define, develop, build, test, and deploy highly secure cloud-based data and analytics platform solutions for data and analytics products. Examples include server applications written in Python/Go that collect, process, and publish car data using a REST APIs, S3 interface and gRPC protocol; various ETL tasks with big data frameworks including Apache Spark, Apache Arrow, Spark Streaming to efficiently handle data from millions of cars. Their solutions are hosted cloud-native with Kubernetes. However, you will be highly interacting with AWS and Azure as well.

You will collaborate with your Product Owner to ensure the right functionality is being developed and estimate the size and complexity of the work to be able to plan upcoming sprints. You will determine and maintain the technical design in their area within the given architectural guidelines.

Tech uses daily:

• Python
• Go
• AWS
• Azure
• Kubernetes
• Databricks
• Terraform
• PostgreSQL
• Grafana
• Github
• React
• Snowflake
• Data Explorer

Who you are and skills needed:

• Passionate about high quality code development
• Have experience within Python/Go for API development, SQL/NoSQL databases, and development/management on Kubernetes including automation and CI/CD with GitHub/GitLab actions
• Experience of System Engineering and Software Testing
• Familiar with the Agile methods and DevOps
• Fluent in English
• Additional experience in big data environments
• Experience within Azure and AWS cloud environments and e2e testing/test automation within Cloud is highly valuable
• Have 10-15 years of work experience in the relevant field and a Master’s degree in engineering
• Proactive approach, a problem solver, and a flexible team player
• Used to work in a high pace and fast changing business, which gives you additional drive and stimulate your sense of urgency, creativity, and curiosity
• Ability to create trust around you while influencing others with the right mindset and company culture
• Analytical, organized and have a great attention to details
• Structured, enthusiastic, self-driven and results oriented
• Strong communication and analytical skills
• It is meritorious to have experience in the automotive industry