Technology stack:
- Python (with focus on data libraries: pandas, numpy, scipy etc.)
- Optional: Golang, Scala, Java
- Minimum 2 years' experience as Data Engineer working on Data integration platforms
- Proficient Python programming skills
- Developing quick prototypes for data transformations
- Apache Spark / Pyspark
- Big Data platforms: on premises (Hadoop) and Cloud (Azure Databricks/Synapse/Data Factory)
- Automation: Azure DevOps/Pipelines / Apache Airflow / Jenkins
- 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
- Streaming and Messaging: Apache Kafka, RabbitMQ, MQTT
- Virtualization: Docker/Kubernetes
- Relational DBs (Oracle, mySQL) and noSQL DBs (MongoDB)
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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)
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.
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.
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Pay
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Location & working pattern
Cluj-Napoca, Cluj, Romania
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:
Work authorization
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