9 days ago
Barcelona, Spain or Madrid, SpainMid Level
Responsibilities
- Design, develop, and maintain data pipelines using Python and ETL.
- Implement testing, validation, Git, and data engineering best practices.
- Develop Delta Lakehouse solutions, including metadata management and data contracts.
- Design real-time data integrations using Apache Kafka and/or Confluent Kafka.
- Evolve Data Mesh and cloud architectures using DevOps, automation, and data integration and governance standards.
- Participate in interviews with Talent Acquisition and the Hiring Manager during the selection process.
Requirements
- Experience with Python, Git, ETL, pipeline orchestration, Delta Lakehouse, cloud, Apache Kafka, and Data Mesh.
- Knowledge of data governance and compliance.
- AWS, workflow orchestration, security and compliance, and MarTech are valued qualifications.
Benefits
- Hybrid and flexible work model.
- Medical, life, and accident insurance.
- Medical services and wellbeing programs.
- Flexible compensation and an employee stock purchase program.
- Flexible schedules, vacation, and additional days off.
- Personalized training and professional development plans.
- Sustainability programs and participation in the Accenture Foundation.
- Employee networks supporting diversity and inclusion.
- Additional benefits, including special conditions with Bankinter and profit sharing.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.