Senior Data Engineer: Scalable Pipelines & Data Products

Siemens; Ciudad de México; Hybrid; MXN 900,000 - 1,500,000; Full time

Job summary

Siemens is seeking a Senior Data Engineer to turn complex business challenges into scalable data solutions. You will work closely with business stakeholders to translate requirements into reliable data products, and own initiatives from discovery to delivery.

The role requires advanced SQL, strong dbt experience, and hands-on cloud skills (AWS/Azure/GCP). You'll join an international team in a hybrid work model with two days onsite, focusing on data pipelines, governance, and collaboration.

Qualifications

• 5+ years of experience in Data Engineering.
• Advanced SQL skills.
• Strong 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 directly with business stakeholders to understand needs and translate them into scalable data solutions.
• Design, build, and maintain reliable data pipelines and data products.
• Develop and optimize complex SQL transformations for performance, scalability, and data quality.
• Build and maintain dbt models that enable trusted and reusable data assets.
• Own solutions end-to-end: requirements, design, development, testing, deployment, and support.
• Collaborate with global teams and contribute to data architecture, automation, and engineering best practices.
• Leverage AI-enabled development tools to improve productivity, documentation, and delivery.

Skills

Advanced SQL

dbt

Cloud platforms

Stakeholder management

English (Advanced)

Independent ownership

Python (nice-to-have)

Snowflake

GitHub Copilot

Tools

Snowflake

GitHub Copilot

Job description

Siemens is seeking a Senior Data Engineer to turn complex business challenges into scalable data solutions. You will work closely with business stakeholders to translate requirements into reliable data products, and own initiatives from discovery to delivery.

The role requires advanced SQL, strong dbt experience, and hands-on cloud skills (AWS/Azure/GCP). You'll join an international team in a hybrid work model with two days onsite, focusing on data pipelines, governance, and collaboration.