Your contribution to something big:
- Transform harmonized data to facilitate data and AIdriven use cases for businessrelevant applications such as reporting decisionmaking and recommendation systems;
- Build operate maintain and monitor productive data pipelines to deliver data products for AI use cases;
- Document and scale solutions create transparency on data quality and improve it in close collaboration with data producers and consumers;
- Establish and demonstrate a serviceoriented and datadriven mindset in your working environment.
Qualifications :
What distinguishes you:
- Completed masters degree in computer science or a related field with relevant specializations;
- Experience in complex data transformation tasks delivering harmonized data products on various types of data sets such as timeseries structured tabular data images and unstructured textual data;
- Strong experience with Python for data transformation tasks including familiarity with DataBricks SQL SPARQL and/or GraphQL;
- Experience in DevOps principles with a focus on the stability reliability and monitoring of automated data pipelines and delivered data products;
- Ability to design technical concepts and communicate them efficiently to team members business stakeholders or nonsoftware domain experts;
- Experience with UX methods is a plus;
- Excellent communication skills resilience and an analytical and conceptual approach;
- Very good English skills both written and spoken.
Additional Information :
Work #LikeABosch includes:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site (psychology and general clinic)
Training opportunities (p.e. technical training foreign languages training) & certifications
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free transport from Porto
Flexible benefits platform
Free parking lot
Canteen
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Fulltime