Data Engineer
Summary
Build and maintain scalable data pipelines and warehouses that power analytics and AI across the organization using SQL, Python, and cloud platforms like AWS/Azure/GCP.
We are looking for a Data Engineer who takes pride in building data infrastructure that actually works — reliably, at scale, and in production. This is a hands-on engineering role where you will design and deliver the pipelines, data models, and workflows that power analytics, AI, and business decision-making across the organisation.
If you care about data quality, clean architecture, and engineering that stands up under pressure, this role is for you.
What You’ll Be Doing
- 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
What We’re Looking For:
- Strong proficiency inSQL and data modelling— you can design and optimize schemas for performance and scalability
- Hands-on experience buildingETL/ELT pipelines— from ingestion through transformation to delivery
- SolidPythonskills and practical experience withcloud 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 withSpark or distributed data processingframeworks
- Familiarity withdata warehousing and data lakeconcepts and architectures
- Understanding ofdata governance, security practices, and CI/CD pipelinesfor data workflows
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status,militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected byapplicablelaw.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.