Senior Data Engineer - Build Scalable Data Solutions (Hybrid)

Siemens; Región Centro; Hybrid; MXN 900,000 - 1,200,000; Full time

Job summary

Siemens is seeking a Senior Data Engineer to turn complex business challenges into scalable data products. You’ll partner with stakeholders, design, build, and own reliable data pipelines from discovery to delivery, taking initiative and guiding the technical direction in a hybrid work model.

You’ll work with a modern data stack—SQL, dbt, Cloud, Python, Snowflake—across global teams to deliver trusted data assets that empower better decisions and long‑term impact.

Qualifications

• 5+ years of experience in Data Engineering.
• Advanced SQL skills.
• Hands-on experience with dbt.
• Experience with AWS, Azure, or GCP.
• Ability to translate business requirements into technical solutions.
• Strong stakeholder management and communication skills.
• Advanced English for collaboration in a global environment.
• Ability to work independently and take ownership from concept to delivery.

Responsibilities

• Partner with business stakeholders to translate needs into scalable data solutions.
• Design, build, and maintain data pipelines and data products.
• Develop and optimize complex SQL transformations for performance and data quality.
• Build and maintain dbt models for trusted data assets.
• Own end-to-end solutions: requirements, design, development, testing, deployment, support.
• Collaborate with global teams on data architecture, automation, and best practices.
• Leverage AI-enabled development tools to improve productivity, documentation, and delivery.

Skills

Data engineering

Advanced SQL

Stakeholder management

English proficiency

Independent ownership

Requirements translation

Team collaboration

Data modeling concepts

Tools

dbt

AWS

Azure

GCP

Snowflake

Python

Job description

Siemens is seeking a Senior Data Engineer to turn complex business challenges into scalable data products. You’ll partner with stakeholders, design, build, and own reliable data pipelines from discovery to delivery, taking initiative and guiding the technical direction in a hybrid work model.

You’ll work with a modern data stack—SQL, dbt, Cloud, Python, Snowflake—across global teams to deliver trusted data assets that empower better decisions and long‑term impact.