Senior Data Engineer

Accenture PLC; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Lisbon location

Job summary

Accenture Technology in Lisbon, Portugal, is seeking a Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines. The role emphasizes Python, SQL, cloud technologies, and modern data engineering practices to enable analytics and decision-making.

The ideal candidate will have hands-on experience with cloud platforms (Azure/AWS/GCP), Apache Spark, data warehousing, and data quality controls, plus native Portuguese and English proficiency at B2 or above.

Qualifications

• Strong hands-on Python and SQL experience (4+ years).
• Experience with Azure, AWS, or Google Cloud Platform.
• Experience building scalable data pipelines.
• Knowledge of data modeling and governance.
• Experience with ETL/ELT processes.
• Proficiency with distributed processing (Spark) and big data tools.
• Understanding of data warehousing and large-scale systems.
• Ability to ensure data quality and security.
• Portuguese native and English at B2 level or higher.
• Strong analytical and collaboration skills.

Responsibilities

• Design, build, and maintain data pipelines.
• Develop data architectures, databases, and large-scale processing systems.
• Collaborate with stakeholders to translate requirements.
• Create and maintain ETL/ELT processes.
• Manage data ingestion from multiple sources.
• Monitor data quality and integrity across platforms.
• Optimize performance, scalability, and reliability.
• Troubleshoot data infrastructure issues.
• Apply data governance and maintain data models.

Skills

Python

SQL

Cloud platforms

Data pipelines

Data modeling

ETL/ELT processes

Apache Spark

Big data technologies

Data warehousing

Data quality and governance

Data security and privacy

Stakeholder collaboration

Portuguese (native) and English (B2+)

Tools

Hadoop

Kafka

Flink

ETL tools

Job 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