Data Engineer

Mentor Talent Acquisition; Portugal; Hybrid; EUR 60,000 - 100,000; Full time

Job summary

Mentor Talent Acquisition is seeking a Data Engineer to design and operate reliable ELT pipelines powering analytics, reporting, and core product features. You will work with Python, SQL and AWS, shaping modern data architectures with focus on data quality and performance.

Responsibilities include building ELT pipelines on AWS, evolving the Medallion data platform, ensuring data quality, collaborating with engineering and product teams, and improving observability.

Qualifications

• Proven experience building ETL/ELT pipelines in production environments.
• Strong SQL skills and dimensional data modeling.
• Proficiency with AWS services including Lambda, Step Functions and S3.
• Experience with Git and CI/CD pipelines.
• Understanding of Medallion Architecture.

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.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

AWS

Data quality

Cloud data pipelines

Tools

AWS

Lambda

Step Functions

S3

API integration

Docker

Git

CI/CD

Parquet/JSON/CSV

Medallion Architecture

Job description

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