Senior Data Engineer at Bosch Group

Cluj-Napoca, Cluj, Romania -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Models, Data Quality, Data Pipelines, Python, Scala, Java, Cloud-Based Solutions, Data Management, Containerization, Orchestration Tools, Streaming Solutions, APIs, Micro Services, AI Model Deployment

Industry

Software Development

Description

Company Description About Bosch Engineering Center Cluj Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of automated driving, electric and connected mobility. Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania. Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference. Work #LikeABosch Job Description Join us as key enabler for digitalization for Engineering and Manufacturing at ME. As a Data engineer you will: Drive the design and implementation of application data models. Implement data that satisfy the needs of the ME ECU business requirements. Work with different types of data, data sources, infrastructure, existing building blocks (e.g. APIs, micro services) in our ECU Engineering data platform. Create and operate automated pipelines for data extraction, transformation and integration. Implement strategies to ensure defined data quality standards and data linage. Be responsible for developing automated integration and orchestration of data architectures and pipelines for manufacturing and engineering solutions and AI model deployment. Qualifications University studies (master's degree or PhD) in Computer Science, Statistics, Physics, or a comparable subject. Proven knowledge and experience in developing cloud-based solutions. Several years of experience in software development with a focus on data pipelines. Strong programming skills in Python, Scala or Java. Proficiency with data-lake providers (Azure Databricks preferred). Experience with containerization technologies and orchestration tools (GitHub Actions, CI/CD pipelines). Familiar with streaming solutions (e.g. Apache Kafka and Flink). Knowledge of data management concepts, pipeline deployment and data provisioning. Additional Information # LikeABosch Benefits: Your work-life balance is valuable to us, so we offer you: 25 Days of annual leave, because work-life balance is essential to us; Flexible working hours and if you want to work from somewhere else than the office, our Home Office program helps you do that 70% of your working time/month. Your health and well-being is important to us, so we have you covered: Medical subscription; Accident insurance; Sport activities and well-being initiatives. We believe in a Life-Long Learning approach, so you can take advantage of: Technical and soft skills trainings; Access to e-learning platforms; Local and Global career development programs; Opportunity to attend conferences; Bookster subscription. You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs. On top of these, we are offering: A monthly budget which can be used for several different services on an online benefit platform; Annual bonus; Lunch discounts. Ready to work # LikeABosch? We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.

Responsibilities

The Data Engineer will drive the design and implementation of application data models and create automated pipelines for data extraction, transformation, and integration. They will also ensure data quality standards and develop automated integration for manufacturing and engineering solutions.