Data Engineer

Mentor Talent Acquisition; La Spezia; Ibrido; EUR 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition seeks a Data Engineer to design, operate and optimize scalable ELT pipelines powering analytics, reporting, and core product features.

You will work with Python, SQL and AWS, focusing on data quality, performance and maintainability while collaborating with backend/frontend teams. Remote-friendly with quarterly office weeks in Vienna.

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

ETL/ELT pipelines

AWS

Medallion architecture

SQL

Data modeling

Data quality

Git CI/CD

Data formats (JSON/CSV/Parquet)

Strumenti

S3

Lambda

Step Functions

Docker

Terraform

Redshift

BigQuery

Descrizione del lavoro

We are looking for a Data Engineer who enjoys building reliable data pipelines. You will help

design and operate scalable ELT processes that power analytics, reporting, and core product features. You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability.

Your responsibilities

• 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.

Your skills

• Strong Python skills for data processing.
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with AWS (especially Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and experience with 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.

Nice to have

• Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery).
• Familiarity with infrastructure-as-code (e.g. Terraform).
• Experience with Docker.

You can expect

• Being part of a highly motivated international team.
• High ownership and responsibility for your domain.
• A modern data stack and room to shape architecture decisions.
• A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna