Data Science & AI Platform Engineer — Hybrid

Siemens Energy; Wrocław; Híbrido; PLN 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical care

Life insurance

Employee Pension Program

Stock market plans

Additional days off

Lunch card

Sport card

Social Fund programs

Descripción de la vacante

Siemens Energy is seeking a data solutions professional to own data products on Snowflake, build robust data pipelines, and deliver AI-powered analytics. You will collaborate with global teams to transform complex data into actionable insights, accelerating digitalization and efficiency across the service organization.

The role emphasizes Python and SQL proficiency, experience with BI tools like Power BI, and a passion for AI concepts, data engineering, and modern data technologies.

Formación

• Bachelor's or Master's in a technical field is required or preferred.
• Strong SQL and Python skills with databases experience.
• Experience or interest in AI, data platforms, and BI tools.
• Familiarity with Snowflake, SAP, Salesforce is advantageous.
• English fluency; German is a plus.

Responsabilidades

• Own data products and applications built on Snowflake for reliability and performance.
• Design, build, and maintain data pipelines and transformation logic.
• Collaborate with cross-functional teams across international locations.
• Analyze large datasets to inform management decisions and strategy.
• Support digitalization milestones and AI-driven business applications.

Conocimientos

SQL

Python

Data analysis

AI concepts

Educación

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related technical field

Herramientas

Snowflake

SAP

Salesforce

Power BI

Mendix

Descripción del empleo

Siemens Energy is seeking a data solutions professional to own data products on Snowflake, build robust data pipelines, and deliver AI-powered analytics. You will collaborate with global teams to transform complex data into actionable insights, accelerating digitalization and efficiency across the service organization.

The role emphasizes Python and SQL proficiency, experience with BI tools like Power BI, and a passion for AI concepts, data engineering, and modern data technologies.