Data Engineer (Remote | Europe)

Mentor Talent Acquisition; Spagna; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to design and operate scalable ELT pipelines powering analytics and features. You will work with Python, SQL and AWS to build reliable data workflows and contribute to data platform architecture.

You will ensure data quality, performance and maintainability while collaborating with cross-functional teams across a modern data stack. If you enjoy shaping data architecture, this role offers ownership and impact.

Competenze

• Experience designing and operating scalable ELT pipelines in production.
• Strong SQL skills and dimensional data modeling experience.
• Solid understanding of data quality practices and data governance.
• Experience with Git and CI/CD pipelines for data engineering workflows.

Mansioni

• Design, build and maintain scalable ELT pipelines.
• Operate data workflows using AWS services (Lambda, Step Functions, S3, Batch).
• Contribute to Data Platform architecture and Medallion pattern evolution.
• Ensure data quality, consistency and reliability across pipelines.
• Collaborate with Backend/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.

Conoscenze

ELT pipelines

Data modeling

Data quality

Git CI/CD

Team collaboration

Problem solving

Strumenti

Python

SQL

AWS

Git

Docker

Terraform

ClickHouse

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.
• 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