Accenture Logo

Accenture

Data Engineer

Reposted 6 Hours Ago
Be an Early Applicant
In-Office
Singapore, SGP
Junior
In-Office
Singapore, SGP
Junior
Design and operate scalable platforms for training and inference of generative AI. Collaborate with teams to solve engineering challenges.
The summary above was generated by AI

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

    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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. 

    Accenture Singapore, Singapore, SGP Office

    250 North Bridge Road, Singapore, Singapore, 179101

    Similar Jobs

    2 Days Ago
    In-Office or Remote
    Singapore, SGP
    Senior level
    Senior level
    Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
    The Staff Data Platform Engineer will oversee the strategy, architecture, development, and operations of data and AI platforms, mentor a team, and advocate for best practices in data management and governance.
    Top Skills: AirflowBigQueryDatabricksDataflowDataprocDbtGCPGoogle Cloud StorageKafkaKubernetesMcpRagSpark
    3 Days Ago
    In-Office
    Singapore, SGP
    Mid level
    Mid level
    Artificial Intelligence • Hardware • Information Technology • Machine Learning
    The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.
    Top Skills: Data AnalysisFirmwareHardware InteractionsSsd Performance Characterization
    7 Days Ago
    In-Office
    Singapore, SGP
    Senior level
    Senior level
    Artificial Intelligence • Hardware • Information Technology • Machine Learning
    The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.
    Top Skills: AWSAzureBigQueryGCPKubernetesMatplotlibPandasPythonPyTorchScikit-LearnSQLTensorFlow

    What you need to know about the Singapore Tech Scene

    The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account