Data Engineer for Connected Services

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.

As a Data Engineer in the Engineering and Data Solutions department you will work with us on creating software products with a strong focus on security, quality and automation for continuous data flow in the scope of vehicle-to cloud ecosystem, working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products.

Technology stack

- Python (with focus on data libraries: pandas, numpy, scipy etc.)
- Optional: Golang, Scala, Java
- Apache Spark / Pyspark
- Big Data platforms: on premises (Hadoop) and Cloud (Azure Databricks/Synapse/Data Factory)
- Automation: Azure DevOps/Pipelines / Apache Airflow / Jenkins
- Streaming and Messaging: Apache Kafka, RabbitMQ, MQTT
- Virtualization: Docker/Kubernetes
- Relational DBs (Oracle, mySQL) and noSQL DBs (MongoDB)
- Data Visualization (e.g. Tableau, PowerBI)
- Version source control (e.g. Git, Bitbucket)

Responsibilities

Develop data integration solutions for large scale automotive R&D applications; Design, test and document, reliable and excellent quality data integration solutions; Design Proof-of-concepts and pitch for implementation.; Contribute to the architecture and implementation of software products for (near)-real time processing.; Develop solutions for scalable and automatic data processing, involving Extract, Load, Transform (ETL/ELT) in Big Data frameworks; Create and maintain data visualizations in close collaboration with domain experts; Work in an agile environment with an internationally distributed team and collaborate closely with key stakeholders (Project Leaders, Product Owners, Solution Architects); Present and communicate solutions to an international audience; Guide and mentor new team members

Requirements

BSc and/or MSc in Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable fields; Minimum 2 years' experience as Data Engineer working on Data integration platforms; Proficient Python programming skills; Developing quick prototypes for data transformations; Operations with tables in relational (or non) DBs; Reporting and monitoring; Organized, accurate, thorough, and able to monitor work for quality; Excellent communication skills in English, both spoken and written; Preferential: Practical experience in project coordination roles (e.g. product owner, agile master etc.)

Benefits

25 Days of annual leave , because work-life balance is essential to us,; Flexible working hours.