Data Engineer

Mentor Talent Acquisition; Italia; Ibrido; EUR 55.000 - 85.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition seeks a Data Engineer to build reliable data pipelines, design and operate scalable ELT processes powering analytics, reporting, and core product features. You will work with Python, SQL and AWS, understand modern data architecture, and care about data quality, performance, and maintainability.

You will design and maintain ELT pipelines, implement data workflows on AWS, contribute to Medallion architecture evolution, ensure data quality and observability, and

Competenze

• Experience building ETL/ELT pipelines in production environments.
• Strong SQL skills and data modeling experience.
• Proficiency with Python and AWS data services.
• Focus on data quality, performance, and maintainability.

Mansioni

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS services.
• Contribute to the evolution of our Data Platform architecture.
• Ensure data quality, consistency, and reliability.
• Collaborate with Backend and Frontend Engineers and Product.
• Monitor pipelines and improve observability.

Conoscenze

Python

SQL

AWS

ELT design

Data modeling

Strumenti

AWS Lambda

AWS Step Functions

S3

Terraform

Docker

Git

CI/CD

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.
• 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