Avanade Campus: Prácticas en ERP con tecnología Microsoft - Octubre 2026

Qualifications

Resiliente, adaptable, flexible.

Additional Information

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About Avanade

As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose‑built for business‑critical, leading‑edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look!

Create a future for our people that focuses on

• Expanding your thinking
• Experimenting courageously
• Learning and pivoting

Inspire greatness in our people by

• Empowering every voice
• Encouraging boldness
• Celebrating progress

Accelerate the impact of our people by

• Amazing the client
• Prioritizing what matters
• Acting as one

We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

Australia

About the Role

We are seeking experienced Databricks Data Engineers to join our Data & AI. You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and transformation workflows on Azure Databricks, enabling advanced analytics and data engineering initiatives.

Key Responsibilities

• Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.
• Build and maintain Databricks notebooks using PySpark for data preparation, transformation, and enrichment to support Data Science use cases.
• Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.
• Implement data quality checks, validation rules, and monitoring mechanisms.
• Integrate data from various sources including structured, semi-structured, and unstructured formats.
• Ensure data security, governance, and compliance with banking regulations.
• Optimize Spark jobs for performance and cost-efficiency in Azure.
• Participate in code reviews, design discussions, and agile ceremonies.
• Document data pipelines, workflows, and technical decisions.