Data Engineer

About the role

We are looking for a Data Engineer who takes pride inbuilding data infrastructure that actually works - reliably, at scale, and inproduction. This is a hands-on engineering role where you will design anddeliver the pipelines, data models, and workflows that power analytics, AI, andbusiness decision-making across the organisation. If you care about data quality, clean architecture, andengineering that stands up under pressure, this role is for you.

Responsibilities

• Design, build, and maintain scalable data pipelines and data stores supporting analytics, reporting, and operational use cases
• Develop and optimise ingestion, transformation, and orchestration workflows across structured and unstructured data sources
• Embed data quality, lineage, reliability, and security controls throughout the engineering lifecycle
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data models and reusable datasets
• Monitor and troubleshoot data jobs, improve pipeline performance, and support production operations and incident resolution
• Contribute to technical documentation, coding standards, and deployment and testing automation

Requirements

• Strong proficiency in SQL and data modelling - you can design and optimize schemas for performance and scalability
• Hands-on experience building ETL/ELT pipelines - from ingestion through transformation to delivery
• Solid Python skills and practical experience with cloud data platforms (AWS, Azure, or GCP)
• Minimum 2 years of experience in a data engineering or closely related role
• Bachelor's Degree in Computer Science, Information Systems, Data Science, or a relevant field
• Good to have:
• Experience with Spark or distributed data processing frameworks
• Familiarity with data warehousing and data lake concepts and architectures
• Understanding of data governance, security practices, and CI/CD pipelines for data workflows
• About Accenture
• Visit us at www.accenture.com
• Equal Employment Opportunity Statement

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