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Data Engineer

AI Infrastructure Architecture Senior Analyst | Early Career | Full time
Stellenreferenz: 14335330 | Singapore
JETZT BEWERBEN

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 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

    Singapore

    Statement zur Chancengleichheit

     

    Wir suchen Menschen mit eigenem Lebensentwurf und ungewöhnlichem Lebenslauf. Individuell statt uniform. Vielfalt statt Norm. Diversität ist unsere Stärke und eine wesentliche Komponente der Unternehmenskultur von Accenture. Wir fördern ein integratives und offenes Arbeitsumfeld, in dem sich jeder so zeigen kann, wie er ist. Bei Accenture sind alle Bewerber:innen willkommen: unabhängig von Herkunft, Nationalität, Glaube, Behinderung, Alter, Familienstand, Partnerschaftsstatus, sexueller Orientierung, Geschlecht und anderen gesetzlich geschützten Gründen.

    We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

    We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

    At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

    Join Accenture to work at the heart of change. Visit us at www.accenture.com.

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