Data Engineer

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

With over 300 specialized associates and about 15 nationalities, Bosch activities in Lisbon are focused on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and expertise of the team are the key success factors of this organization.

Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers.

Our teams find quick and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with about 9000 associates worldwide.

Job Description

• Contribute to greatness: You are active in the future-oriented field of electric drives and make a direct contribution to the electrification of tomorrow's mobility.
• As a Data Engineer (f/m/div.) you will actively collaborate in the development of IT pipelines to transfer data between different systems.
• You accompany the entire Data Engineering lifecycle. This means design, build, integrate data from various resources, and manage data integrations.
• You will be developing customer-oriented digital solutions worldwide for internal and external partners with focus on data.
• Collaborate with IT and functional departments from different plants worldwide.

Qualifications

• Education: University Degree (Bachelor/Master/Ph.D.) in computer science, mathematics, physics, industrial engineering, cybernetics, statistics or comparable field of study.
• Experience and Knowledge: Experience with practices of data engineering (i.e. Data modelling, Data streaming, ETL development, Data warehousing).
• Clear understanding of the ecosystem, including ingestion, processing frameworks and storage engines, e.g., PySpark, Airflow, Kafka, Hadoop, Azure Cloud, Databricks.
• Basic understanding of data analysis and visualization.
• Experience in API management is an advantage.
• Languages: Fluent in English (written and spoken), German skills are a plus.
• Personality and way of working: Data driven mindset, openness, customer oriented, quality awareness, team player, structured and self-organized way of working.
• Good communication and coordination skills in working with interdisciplinary & international teams.

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

Success stories don't just happen. They are made...

Make it happen! We look forward to receiving your application!