Kerja Sepenuh Masa, Data Engineering Senior Analyst di Accenture Southeast Asia - Maukerja

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