col-wideJob Description:
Job Description
We're seeking a Senior Data Engineer to enhance our Data Science Team in a P2030 project that will start In this role, you'll focus on implementing and managing data pipelines/workflows that support machine learning models and large-scale analytics. Your responsibilities will include designing ETL processes, ensuring data quality, and deploying ML models to production.
Responsibilities:
• Create efficient ETL processes for data extraction, transformation, and loading.
• Ensure high-quality data by implementing validation checks and monitoring.
• Collaborate with data scientists to deploy ML models into production.
• Optimize data pipelines for scalability and performance.
• Build solutions to monitor performance of the data pipelines deployed and take corrective measures when necessary.
• Work closely with software engineers, product managers, and data scientists.
• Communicate findings to technical and non-technical stakeholders through clear and compelling presentations and reports.
• Take part in innovation projects and collaborate closely with academic institutions.
Qualifications
Experience:
• Minimum of 5 years in a data engineering role.
Technical Skills:
• Proficiency in ETL tools (, Apache Spark, Databricks, Airflow).
• Proficiency in Python o Strong SQL knowledge for data manipulation and querying.
• Able to work with no-relational databases ( MongoDB).
• Experience with Microsoft Azure cloud platform.
• Experience with Linux OS and Docker. o Experience with Infrastructure as Code technologies ( Terraform).
• Experience with CI/CD pipelines and good software development practices, including version control, code organization and testing.
• Knowledge in MLOps.
• Experience working in an agile (Scrum or Kanban) framework.
• Ability to share knowledge and mentoring junior team members.
• Good analytical skills.
• Very good understanding of data models.
• Eager to learn work with the newest technologies.
• High initiative and ability to work independently.
• Solution-oriented, pragmatic, with an eye for detail and capable of explaining decisions and results.
• Evangelist of best practices in ML-based software development.
• Good communication skills.
• Fluent in English.
Education:
• MSc degree in Computer Science, Data Science, or related field
Additional Information
If you're a proactive, analytical thinker with a passion for building robust data pipelines, we encourage you to apply!
Hybrid regime - 2 days at the office in Ovar.
Work #LikeABosch includes:
Flexible work conditions | Hybrid work system | Exchange with colleagues around the world | Health insurance and medical office on site (nutrition, psychology, physiotherapy, general clinic) | Training opportunities (, technical training, foreign languages training) & certifications | Access to great discounts in partnerships and Bosch products | Sports and health related activities (gym) | Free parking lot | Canteen
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
#LI-Hybrid
