Description
Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
We are seeking a highly qualified professional to join our team as a Senior Data Engineer. As an essential part of our team, you will be responsible for designing, building, and maintaining scalable data platforms and pipelines that enable efficient data processing, analytics, and business decision-making. We are looking for a professional with strong expertise in Python, SQL, cloud technologies, and modern data engineering practices.
Qualifications
Strong hands-on experience with Python and SQL (mandatory) - minimum 4 years
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (mandatory)
Experience designing, building, and maintaining scalable and reliable data pipelines
Strong knowledge of data modeling, data architecture, and data governance principles
Experience developing and maintaining ETL/ELT processes
Proficiency with Apache Spark and distributed data processing frameworks
Experience with big data technologies such as Hadoop, Kafka, Flink, or similar
Solid understanding of data warehousing, database design, and large-scale processing systems
Experience implementing data quality, integrity, and monitoring controls
Knowledge of data security, privacy, and compliance best practices
Strong analytical, troubleshooting, and problem-solving skills
Ability to collaborate effectively with technical and business stakeholders
Native Portuguese speaker and English proficiency at B2 level or above
Responsibilities
Design, build, and maintain efficient, scalable, and reliable data pipelines
Develop, test, and maintain data architectures, databases, and large-scale processing systems
Collaborate with business and technical stakeholders to translate requirements into scalable data solutions
Create, optimize, and maintain ETL/ELT processes for data ingestion and transformation
Implement and manage data ingestion processes from multiple internal and external data sources
Monitor data pipelines and ensure data quality, consistency, and integrity across platforms
Optimize data systems and processing frameworks to maximize performance, scalability, and reliability
Troubleshoot data-related issues and provide support for data infrastructure and platform needs
Apply data governance principles and maintain data models aligned with business requirements
Nice to Have
Cloud certifications in Azure, AWS, or Google Cloud Platform
Experience supporting AI, Machine Learning, or Advanced Analytics
Location: Lisbon, Portugal
Working Model: Hybrid
Seniority: Mid-Senior Level