Senior Data Engineer

Siemens; Región Centro; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Siemens is seeking a Senior Data Engineer in a hybrid role based in Mexico. You will partner with business stakeholders to translate requirements into scalable data solutions and own data pipelines end-to-end from discovery to delivery.

Key tasks include designing robust data products, optimizing SQL transformations, building dbt models, and collaborating with global teams on data architecture and best practices. High emphasis on ownership and English communication.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data Engineering

SQL

dbt

Cloud platforms

Stakeholder mgmt

English

Independent

Herramientas

Snowflake

dbt

Descripción del empleo

Turn complex business challenges into scalable data solutions.

We're looking for a Senior Data Engineer who combines strong technical expertise with a consultative mindset.

In this role, you'll work directly with business stakeholders to understand their challenges, translate requirements into technical solutions, and build reliable data products that enable better decisions. You'll have the autonomy to propose solutions, influence technical direction, and own initiatives from discovery to delivery.

What You’ll Do

• 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.

What Makes You Successful

Must-Have

• 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.

Nice-to-Have

• Python for automation, data processing, or pipelines.
• Experience with Snowflake.
• Exposure to Data Products, Data Mesh, Data Governance, or modern analytics architectures.
• Experience with AI-assisted development tools such as GitHub Copilot or similar.

Why Join Us?

You'll have the opportunity to work directly with the business, influence technical decisions, and build solutions with real impact.

You'll join an international environment with a modern data stack—including SQL, dbt, Cloud, Python, and Snowflake—while gaining visibility, ownership, and opportunities for long‑term career growth.

Seniority: Senior Level | 5+ years

Work Model: Hybrid | 2 days onsite

• Siemens is an Equal Opportunity and Affinitive Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.