Data Engineer - IoT Projects

4 Months ago • All levels

Data Analysis

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.

Good To Have:

Knowledge of Snowflake & DBT, Kafka would be desirable

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

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

Add these skills to join the top 1% applicants for this job

communication

budget-management

postgresql

aws

ci-cd

python

sql

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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