Cloud Data Engineer - Mid/Senior | Lisbon (Hybrid)

Accenture PLC; Estrela; Hybrid; EUR 45,000 - 75,000; Full time

Job summary

Accenture is seeking a Data Engineer in Lisbon to design, build, and optimize scalable data solutions supporting analytics and decision-making. You will work with Python, SQL, and cloud ecosystems to develop robust ETL/ELT pipelines and data governance practices.

The role expects 3–8 years of experience, a strong foundation in data modeling, and collaboration with cross-functional teams in an agile environment. Hybrid work in Lisbon is offered, with a focus on delivering reliable data platforms.

Qualifications

• 3+ years of experience in data engineering or related roles.
• Strong Python and SQL for data manipulation, transformation, and automation.
• Experience designing and maintaining data pipelines and workflows.
• Knowledge of ETL/ELT processes and modern data integration patterns.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Understanding of data modeling, database design, and data warehousing concepts.
• Knowledge of data governance, data quality, security, and compliance principles.
• Experience managing databases and ensuring data reliability and performance.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating with cross-functional teams in agile environments.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field.
• Portuguese native + Fluent in English (B2+ or above).

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows for structured and unstructured data.
• Build reusable frameworks for data ingestion, transformation, validation, and optimization.
• Develop and optimize ETL/ELT processes using Python and SQL.
• Deploy and support data solutions in production environments, ensuring reliability and performance.
• Automate data flows to enable efficient and seamless data consumption across the organization.
• Develop and maintain internal tools and applications to support data operations.
• Monitor data pipelines, data quality metrics, and system performance.
• Implement and promote best practices for data governance, data security, and data quality.
• Collaborate with business stakeholders and technical teams to understand requirements and deliver effective solutions.
• Contribute to the continuous improvement of data engineering processes and standards.
• Stay up to date with emerging technologies, industry trends, and data engineering best practices.

Skills

Python

SQL

Data pipelines

ETL/ELT

Agile collaboration

Communication to stakeholders

Data governance awareness

Problem-solving

Education

Bachelor's degree in Computer Science / Data Engineering / Analytics

Tools

Azure

AWS

GCP

Airflow

Azure Data Factory

Job description

Accenture is seeking a Data Engineer in Lisbon to design, build, and optimize scalable data solutions supporting analytics and decision-making. You will work with Python, SQL, and cloud ecosystems to develop robust ETL/ELT pipelines and data governance practices.

The role expects 3–8 years of experience, a strong foundation in data modeling, and collaboration with cross-functional teams in an agile environment. Hybrid work in Lisbon is offered, with a focus on delivering reliable data platforms.