Data Engineer – Remote, Build Scalable ELT Pipelines

Mentor Talent Acquisition; Pordenone; Ibrido; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to build reliable data pipelines powering analytics and product features. You will design and operate scalable ELT processes using Python, SQL and AWS, focusing on data quality and maintainability.

Join a distributed international team with strong ownership, working from Vienna or remotely with quarterly office weeks in Vienna. You will help evolve the Data Platform architecture and collaborate with backend, frontend, and product teams.

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 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

SQL

AWS

ETL/ELT pipelines

Data modeling

Data quality

Git CI/CD

JSON/Parquet

Strumenti

Terraform

Docker

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to build reliable data pipelines powering analytics and product features. You will design and operate scalable ELT processes using Python, SQL and AWS, focusing on data quality and maintainability.

Join a distributed international team with strong ownership, working from Vienna or remotely with quarterly office weeks in Vienna. You will help evolve the Data Platform architecture and collaborate with backend, frontend, and product teams.