Data Engineer

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.

Job Summary

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.

Qualifications

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 modelling, 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

Fluent in English (C1 or above) , with excellent written and verbal communication skills

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

Additional language skills, such as

French

Experience working in international and multicultural environments

Additional Information

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.

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