Accenture Hiring! Full Time Data Engineering Senior Analyst in - Ricebowl

The Work

This is your opportunity to sit at the intersection of data architecture and business impact. As a Data Engineer, you won't just be building pipelines — you'll be translating complex business problems into scalable, data-driven solutions that teams across the organization actually rely on.

You'll work closely with data scientists, business analysts, and technology teams to design and deliver data infrastructure that is clean, reliable, and built to grow. If you love turning messy, complex data landscapes into something elegant and useful, this role is for you.

What You'll Be Doing

• Design, build, and maintain scalable data pipelines and workflows that power business intelligence, analytics, and AI/ML applications
• Translate medium to large-scale business requirements into robust data models, ETL/ELT processes, and integrated data solutions
• Analyse existing data systems and processes to identify inefficiencies and recommend improvements that drive performance and reliability
• Act as a subject matter expert on data engineering best practices — supporting and guiding junior team members and cross-functional stakeholders
• Collaborate with data scientists, analysts, and business teams to ensure data is accessible, accurate, and fit for purpose
• Contribute to data governance, documentation, and data quality frameworks to ensure long-term platform integrity
• Support stakeholder engagement by clearly communicating technical solutions and trade-offs to non-technical audiences

Must-have:

• Minimum 2 years of experience in data engineering or a closely related field
• Strong proficiency in Business Process Analysis — ability to map data flows, identify gaps, and design solutions around real business needs
• Hands-on experience in data pipeline design and development (ETL/ELT, batch and/or streaming)
• Solid understanding of data modelling, data warehousing concepts, and database management
• Bachelor's Degree in Computer Science, Information Systems, Data Science, or a relevant field

Good to have:

• Experience in requirements gathering and analysis — working directly with stakeholders to define data needs
• Familiarity with business process design and how data architecture supports operational workflows
• Exposure to data visualisation tools (e.g. Tableau, Power BI) — ability to support or build reporting layers
• Understanding of process improvement methodologies within a data or technology context
• Strong stakeholder engagement skills — comfortable presenting to both technical and business audiences
• Interest or experience in data strategy or business model design