Senior Data Engineer - Scalable ELT Pipelines (Remote)

Mentor Talent Acquisition; Cremona; Ibrido; EUR 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work options

Office in Vienna

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to build reliable data pipelines and operate scalable ELT processes powering analytics and product features.

You will work with Python, SQL and AWS, shaping data architecture, ensuring data quality, and improving performance and cost efficiency across the data stack. This role offers hybrid work with Vienna-based presence and remote options.

Competenze

• Strong Python skills for data processing.
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with AWS (Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and dimensional data modeling.
• Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs).
• Understanding of data validation and data quality practices.
• Experience with Git and CI/CD.

Mansioni

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch, etc.).
• Contribute to the evolution of our Data Platform architecture (Medallion architecture).
• Ensure data quality, consistency, and reliability across pipelines.
• Optimize data transformations for performance and cost efficiency.
• Collaborate with Backend and Frontend Engineers and Product to define data requirements.
• Monitor pipelines, troubleshoot issues and improve observability.
• Document data models, transformations and architecture decisions.

Conoscenze

Python

ETL/ELT pipelines

SQL

Data modeling

AWS

Strumenti

AWS (Lambda, Step Functions, S3)

Git

CI/CD

Docker

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to build reliable data pipelines and operate scalable ELT processes powering analytics and product features.

You will work with Python, SQL and AWS, shaping data architecture, ensuring data quality, and improving performance and cost efficiency across the data stack. This role offers hybrid work with Vienna-based presence and remote options.