Data Engineer - IoT Projects
Job Summary
Job Description
The Data Engineer will be responsible for database DevOps and management, including designing complex data models, administering PostgreSQL databases, and optimizing database performance. They will also handle IoT data processing, developing and maintaining data transformation scripts and implementing scalable data processing pipelines. Additionally, the role involves system architecture and development, maintaining and optimizing AWS Lambda functions, and collaborating with external developers. Furthermore, the Data Engineer will be involved in data governance and quality, implementing systems to monitor data quality and performance, and ensuring data consistency and reliability. The role requires a strong understanding of SQL and PostgreSQL, experience with Python and AWS, and knowledge of CI/CD pipelines.
Must have:
- Strong knowledge of SQL and PostgreSQL
- Experience with Python
- Experience with AWS, especially Lambda
- CI/CD Pipeline Knowledge
- Understanding IoT architectures and data processing
Good to have:
- Knowledge of Snowflake & DBT, Kafka would be desirable
Perks:
- Hybrid and flexible working model
- Budget for home office support
- Opportunity for volunteer work
- Health insurance
- Access to on-site medical center
- Chance to join sports groups
- Access to online learning platforms
- Discounts with partners
- Shuttle bus to commute to facilities
- Financial support to studies
7 skills required
Job Details
Create a better #TomorrowWithUs 🚀
At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
Your mission will be…
- Database DevOps and Management
- Design and build complex data models
- Administrator of a productive PostgreSQL database
- Data modelling and restructuring of new and old systems
- Optimize and scale database performance
- Design and implementation of new functions (data catalog, monitoring systems)
- Maintenance and implementation of DevOps solutions, e.g. versioning, CI/CD
- IoT Data Processing
- Development and maintenance of data transformation scripts for cloud and on-premise solutions
- Implement scalable IoT data processing pipelines
- Integration of new data sources
- Ensuring data quality and monitoring
- System Architecture & Development
- Maintaining and Optimizing AWS Lambda Functions
- Collaborate with external developers on connectivity solutions
- Data Engineering for Dashboard Development
- Data Governance & Quality
- Development and maintenance of a data quality solution in close cooperation with central IT
- Implement systems to monitor data quality and performance
- Managing Data Archiving Processes
- Ensure data consistency and reliability
We are looking for...
- Strong knowledge of SQL and PostgreSQL
- Experience with Python
- Experience with AWS, especially Lambda
- CI/CD Pipeline Knowledge
- Understanding IoT architectures and data processing
- Knowledge of Snowflake & DBT, Kafka would be desirable
- Soft Competences:
- Initiative and curiosity about IoT data environments
- Strong interest in data automation
- Ability to act as a sparring partner for technical discussions
- Excellent communication skills with stakeholders
- Independent working style
What you can expect from us…
A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups.
In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.
Please attach your CV in English.
#Siemens #PeopleAtSiemens
Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!
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