Data Engineer - Mid & Senior Level

6101 ATS,S.A. Company; 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 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 Data Engineer. As an essential part of our team, you will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making. We are looking for a professional with strong expertise in data engineering, cloud platforms, ETL/ELT development, and data governance.

Requirements

• Minimum of 3 years of experience in Data Engineering or related technical roles
• Strong proficiency in Python and SQL for data manipulation, transformation, and automation
• Experience designing, building, and maintaining data pipelines and workflows
• Knowledge of ETL/ELT processes and modern data integration patterns
• Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform (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

Nice to Have

• Cloud certifications in Azure, AWS, or Google Cloud Platform
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or similar
• Knowledge of big data technologies and distributed processing frameworks
• Experience working in international and multicultural environments

Location

Lisbon

Legal

Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal.

Working Model

Hybrid

Experience Level

Mid - Senior (3 - 8 years)

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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