Scania

Data engineer, Connected Asset Data

Job description

Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Do you want to be a driving force in how Scania evolves with data driven insights? Creating shorter feedback loops and democratizing data for our teams developing SW and functions on our vehicles.

We are now looking for experienced engineers that can help us expand our connectivity platform to support source agnostic data onboarding and data sharing for our software teams within R&D.

Scania today have over 600.000 (and counting) vehicles and other products connected online.

Given that 96% of the carbon emissions comes from our products. Enabling and leveraging the data that we collect, to improve our products and help our customers utilise them in a more efficient way, is one important component for reaching our science-based targets.

2025 we are supposed to reduce our CO2 emissions from our own operations by 50% and from our products by 20% compared to the 2015 levels. Read more at https://www.scania.com/sbt

What you will do

Today our R&D teams are utilising more and more log- and sensor data in their daily work. Integrating it through all parts of development from deciding on and testing of new functionality in our test-fleets. To evaluation of performance and investigating deviations on our rolling fleet.

We are now looking for people to join a new engineering team aimed at:

  • Meeting demands on more frequent and granular data collection.
  • Enabling shorter feedback loops for product- and embedded SW development.
  • Manage data growth and increased variance imposed by the increase in virtual sensors and SW functions.
  • Ensuring that generated data is accessible and searchable while scaling from ingestion magnitudes of TB/Year to TB/Day.
  • Giving increased support for cross-referenced data contextualisation and analytics.

With end-end perspective, from vehicle SW to backends and analytics layers, the team will work in tight collaboration with our logging- and product development teams. Continuously addressing new demands and enabling their success.

Who you are?

Technical curiosity is important, and you have track record of exploring and adopting new technologies to improve way of working.

You are curious and enjoy having variation in your work. You have the ability to work exploratory with other software teams and enjoy enabling other teams’ success.

We see that you are a MSc in Computer Science or similar, speaks fluent English and that you have experience working with agile methodologies. While your technical background cover several of the following areas:

  • Backend-, data warehouse- (SQL, Snowflake) and cloud infrastructure (AWS, Azure, GCP) development.
  • API design & development.
  • ELK-stack, Splunk or similar Log-Platforms.
  • EMR, Glue, Spark, Redshift.
  • ETL tools.
  • Apache airflow, Apache Nifi.

DevOps and the mindset of “you build it, you run it” is widely adopted within the connectivity platform. While enabling a high degree of autonomy, it also puts high demands on you and your future team to build for automation and scalability.

Further information
For additional information about the position please contact, Jesper Ulke, Group Manager +46 8 553 510 65

Application
Your application should include a CV, cover letter and copies of any certificates.

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