Data Engineer

Role:

• Develop maintain and optimize data pipelines to handle largescale fleet data related to AD/ADAS functions.
• Create and deliver dashboards that track business KPIs (e.g. crash boards functional usage) and provide realtime insights.
• Measure and report on AD/ADAS business objectives fulfillment and performance trends.
• Collaborate with teams to capture analytics requirements and drive data engagements.
• Support the safe and efficient launch of AD/ADAS functionalities using datadriven insights.

Essential requirements:

• Strong experience in data engineering with proficiency in Python SQL and cloud platforms (AWS Azure or GCP).
• Expertise in building data pipelines ETL processes and handling big data technologies (e.g. Hadoop Spark).
• Familiarity with data visualization tools (e.g. Tableau PowerBI) and realtime analytics.
• Experience in the automotive industry especially AD/ADAS systems is a plus

Meritorious:

• Experience with fleet data collection and analysis.
• Strong analytical and problemsolving skills with a focus on safety and performance metrics

Please explain how you meet all the requirements when applying.

Utilization: 100%
Location:Gteborg
Period:
Last day to apply:
We present regularly.This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.