Are you a Senior Data Engineer (Azure data, Python & Pyspark) in Madrid seeking a new interesting challenge?
Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.
If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for
WHAT WILL YOU DO?
We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks:
- Design technical solutions in collaboration with peers and stakeholders.
- Develop, test, and deploy applications and control frameworks.
- Collect, prepare, clean, and deliver large datasets for internal application teams.
- Build, monitor, and maintain data pipelines.
- Optimize application performance and improve data delivery processes.
- Identify opportunities to enhance data quality frameworks and operational efficiency.
- Collaborate with product owners, architects, and other stakeholders to align solutions and objectives.
- Support the refinement of credit risk reporting processes and credit risk calculations within a large international enterprise.
WHAT TECHNOLOGIES, METHODOLOGIES OR TOOLS WILL YOU USE?
- PySpark
- Python
- SQL
- ETL Frameworks
- Azure Databricks
- Azure Data Factory
- Azure DevOps
- CI/CD Pipelines and Continuous Testing
WHAT ARE WE LOOKING FOR?
Years' experience: 7+ years
English: C1
Education: BSc/MSc in IT Engineering
Required experience and knowledge:
- Strong experience in data engineering.
- Experience building and maintaining ETL data pipelines.
- Knowledge of Configuration Management.
- Knowledge of Continuous Integration.
- Experience with Cloud Implementations on Azure.
- Passion for learning and experimenting with new tools and technologies.
- Strong communication skills with technical and non-technical stakeholders.
WHERE AND WHEN?
Workplace: Hybrid — Madrid
Work Schedule: 09:00-18:00
WHAT CAN WE OFFER YOU?
Permanent contract - We offer indefin
📌 Senior Data Engineer (Madrid)
🏢 Jobrapido
📍 Madrid
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