Data Engineering Senior Analyst

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 inBusiness Process Analysis- ability to map data flows, identify gaps, and design solutions around real business needs
• Hands-on experience indata pipeline design and development(ETL/ELT, batch and/or streaming)
• Solid understanding ofdata 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 inrequirements gathering and analysis- working directly with stakeholders to define data needs
• Familiarity withbusiness process designand how data architecture supports operational workflows
• Exposure todata visualisation tools(e.g. Tableau, Power BI) - ability to support or build reporting layers
• Understanding ofprocess improvement methodologieswithin a data or technology context
• Strongstakeholder engagementskills - comfortable presenting to both technical and business audiences
• Interest or experience indata strategy or business model design

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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