Data Engineer

Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements
• Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis
• Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications
• Design, implement, and maintain data platforms, such as data warehouses, data lakes, and data lakehouses, for structured and unstructured data
• Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks
• Ensure optimal performance and identify opportunities for improvement

Preferred

• Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs
• Glassdoor
• 3.8
• Global Tech Consulting Company All in One. Stefanini is a Brazilian multinational company with 37 years of experience and presence in 41 countries.
• Kölln-reisiek, Schleswig-Holstein, DEU
• http://www.stefanini.com/EN
• H1B Sponsorship
• Data Powered by
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Customer Service and Support
• Sales
• Human Resources
• Creatives and Design
• Marketing
• Product Management
• Trends of Total Sponsorships

Qualifications

• 4+ years of data engineering work experience
• Experience with data ingestion for all types of data, data wrangling and transformations, and landing data in BigQuery
• Experience with stored procedures, triggers, data modeling, Qlik View, Cloud Functions, Data Fusion, Astronomer, and Airflow
• Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment
• Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot
• Knowledge of agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and using large language models (LLMs) to automate software development and business processes
• Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation
• Data/Analytics, Data Modeling, Data Warehousing, and AI skills
• Master's degree
• Bachelor's degree
• Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs
• 4+ years of data engineering work experience.

Required skills

• AI-Assisted Development, Agentic AI and Large Language Models (LLMs), Apache Airflow, Astronomer, BigQuery, Cloud Functions, Data Fusion, Data Ingestion and Transformation, Data Modeling, Data Warehousing, Google Cloud Platform (GCP), QlikView

Preferred skills

• (12), (13), (14), (15), (18), (7), *2026, 2021, 2022, 2023, 2024, 2025, 3.8, 80, Creatives and Design, Customer Service and Support, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Glassdoor, H1B Sponsorship, Human Resources, Kölln-reisiek, Schleswig-Holstein, DEU, Management and Executive, Marketing, Product Management, Represents job field similar to this job, Sales, Trends of Total Sponsorships, http://www.stefanini.com/EN

Experience

• 4+ years