Data Engineers - 100% remote, ASAP, 12+ months -- 2
Budget: €36 – €0 EUR
Dear Data Engineers,
We are currently looking for multiple Data Engineers for one of the leading tech companies in Germany. The position is 100% remote and long-term.
QUICK FACTS:
- Freelancing/Contracting
- Start: ASAP
- 100% remote
- Duration: long-term 12+ months
- Capacity: full-time, part-time also possible
- Language: English (no german needed!!)
- German business hours
REQUIREMENTS:
- Experience in data engineering, including building and maintaining scalable data pipelines.
- Good knowledge of Python, SQL, and Azure data services such as Azure Data Factory, ADLS, Azure SQL, and Databricks.
- Experience with Apache Spark, Delta Lake, and ETL/ELT development.
- Familiarity with real-time data processing, AI-ready data pipelines, and data quality or anomaly detection.
- Knowledge of DevOps and CI/CD practices, including tools such as Terraform, Docker, Kubernetes, or AKS.
Are you interested?
If so, please send us your proposal including your most recent CV as well as your earliest possible starting date.
When sending over your details, please include a self-assessment (0-10, 10 = expert level) in the following areas:
- Data Engineering (in general)
- Python
- Azure (in general)
- Azure Data Factory
- ADLS
- Azure SQL
- Databricks
- Apache Spark
- Delta Lake
- ETL/ELT Development
- Real-Time Data Processing
- AI-Ready Data Processing
- Data Quality & Anomaly Detection
- SQL
- DevOps
- CI/CD
- Terraform
- Docker
- Kubernetes
- AKS
We are looking forward to hearing back from you. Have a great day!
Your wynwood tech Recruiting Team ;-)
We are currently looking for multiple Data Engineers for one of the leading tech companies in Germany. The position is 100% remote and long-term.
QUICK FACTS:
- Freelancing/Contracting
- Start: ASAP
- 100% remote
- Duration: long-term 12+ months
- Capacity: full-time, part-time also possible
- Language: English (no german needed!!)
- German business hours
REQUIREMENTS:
- Experience in data engineering, including building and maintaining scalable data pipelines.
- Good knowledge of Python, SQL, and Azure data services such as Azure Data Factory, ADLS, Azure SQL, and Databricks.
- Experience with Apache Spark, Delta Lake, and ETL/ELT development.
- Familiarity with real-time data processing, AI-ready data pipelines, and data quality or anomaly detection.
- Knowledge of DevOps and CI/CD practices, including tools such as Terraform, Docker, Kubernetes, or AKS.
Are you interested?
If so, please send us your proposal including your most recent CV as well as your earliest possible starting date.
When sending over your details, please include a self-assessment (0-10, 10 = expert level) in the following areas:
- Data Engineering (in general)
- Python
- Azure (in general)
- Azure Data Factory
- ADLS
- Azure SQL
- Databricks
- Apache Spark
- Delta Lake
- ETL/ELT Development
- Real-Time Data Processing
- AI-Ready Data Processing
- Data Quality & Anomaly Detection
- SQL
- DevOps
- CI/CD
- Terraform
- Docker
- Kubernetes
- AKS
We are looking forward to hearing back from you. Have a great day!
Your wynwood tech Recruiting Team ;-)
Related categories:
Python
SQL
Azure
Big Data Sales
Hadoop
Map Reduce
Elasticsearch
Spark
ETL
Apache Spark