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

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.

In your role you will:

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

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)

Qualifications

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.)

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.

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.

Career Guide for Data Engineer at Bosch Engineering Center Cluj

Job Overview

The Data Engineer role at Bosch Engineering Center Cluj focuses on creating software solutions that ensure a secure, high-quality, and automated flow of data within the vehicle-to-cloud ecosystem. You will collaborate with a global team to develop innovative data products, primarily in the automotive sector.

Key Responsibilities

Data Integration Solutions: Develop and implement data integration solutions for large automotive R&D applications.
Testing and Documentation: Design, test, and document data solutions to ensure reliability and quality.
Proof-of-Concept Design: Create proof-of-concepts and advocate for their implementation.
Real-Time Processing: Contribute to the architecture and implementation of products for near-real-time data processing.
Scalable Solutions: Develop automatic data processing solutions using ETL/ELT frameworks.
Data Visualization: Collaborate closely with domain experts to create and maintain data visualizations.
Agile Environment: Work within an agile framework and engage with key stakeholders regularly.
Communication: Present solutions to an international audience and mentor new team members.

Required Skills and Knowledge

Technical Skills

Programming: Proficient in Python, with familiarity in data libraries such as pandas, numpy, and scipy. Knowledge of Golang, Scala, or Java is a plus.
Big Data Technologies: Experience with Apache Spark/Pyspark and Big Data platforms (Hadoop, Azure Databricks/Synapse/Data Factory).
Automation Tools: Skilled in Azure DevOps, Apache Airflow, or Jenkins.
Data Streaming: Knowledge of messaging systems such as Apache Kafka, RabbitMQ, or MQTT.
Database Management: Experience with relational (Oracle, MySQL) and NoSQL databases (MongoDB).
Data Visualization: Familiarity with tools like Tableau or PowerBI.
Version Control: Proficiency with source control systems (Git, Bitbucket).

Soft Skills

Strong communication skills in English (written and spoken).
Ability to work in a team and collaborate effectively.
Organized, thorough, and detail-oriented mindset.

Tools and Technologies

Python and major data libraries.
Big Data frameworks (Hadoop, Spark).
DevOps and automation tools.
Data visualization platforms.

Certifications or Training

Certifications in cloud platforms (AWS, Azure) or data engineering can be beneficial.
Training in big data technologies or data visualization tools can enhance your profile.

Interview Preparation

10 Common Interview Questions

Can you describe a data integration project you worked on?
- Focus on your role and the technologies used. Emphasize your problem-solving abilities and outcomes.
What ETL tools are you familiar with?
- Discuss any hands-on experience and preferences, including reasoning behind your choice of tools.
How do you ensure data quality in your projects?
- Talk about strategies and techniques you employ, including validation and testing approaches.
Explain a time when you had to collaborate with a distributed team.
- Highlight your communication skills and how you managed challenges.
How do you stay up-to-date with new technologies in data engineering?
- Mention specific resources, communities, or training courses that you follow.
What is your experience with data visualization?
- Share any projects or tools you’ve used, and your design philosophy.
How do you handle tight deadlines?
- Discuss prioritization techniques and time management strategies.
Describe a challenging technical problem you solved.
- Focus on your analytical skills and the steps you took to overcome it.
What do you know about the vehicle-to-cloud ecosystem?
- Do some research on this topic to demonstrate your interest and initiative.
What interests you most about working at Bosch?
- Express genuine enthusiasm for their projects, values, or innovations.

Important Topics to Review

Familiarize yourself with Bosch’s projects and technological focus areas, including AI in mobility.
Review big data engineering principles, data processing, and visualization best practices.

How to Increase Your Hiring Chances

CV Improvement

Tailor your CV to highlight relevant experiences and skills that match the job description.
Use clear, impactful language and quantify your achievements where possible.

LinkedIn Profile Optimization

Ensure your LinkedIn profile mirrors your CV and includes relevant keywords.
Engage with content related to data engineering and Bosch’s industry to enhance visibility.

Portfolio or Project Ideas

Work on personal or open-source projects related to data integration, visualization, or cloud technologies.
Document these projects clearly to showcase your abilities and problem-solving skills.

Learning Recommendations

Complete online courses on big data technologies (e.g., Coursera, edX).
Engage in forums and community events focused on data engineering to expand your network.

Career Growth

As a Data Engineer at Bosch, you may advance to roles such as:

Senior Data Engineer: Taking on more complex projects and leading initiatives.
Data Architect: Focusing on data architecture and design principles.
Product Owner or Agile Master: Transitioning to project coordination roles, interested candidates may pursue certifications in agile methodologies.
Technical Lead: Leading teams and mentoring junior engineers, focusing more on strategic planning and execution.

By following this guide, job seekers can effectively prepare for a role as a Data Engineer at Bosch Engineering Center Cluj and position themselves favorably for a successful career in data engineering.