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Accenture

Advises businesses and runs their technology

Data Engineer / Data Modeler

Data Management +1Updated on Nov 11
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Relevant professional experience in data engineering, data modeling, data warehousing, or database development, preferably within banking or financial services.
  • Hands-on experience designing logical and/or physical data models, with knowledge of normalized and dimensional modeling techniques.
  • Experience with FSLDM, FIBO, BIAN, or comparable financial-services data models and standards.
  • Practical experience with at least one enterprise data platform such as Cloudera or Teradata, and/or a modern data platform such as Snowflake or Databricks.
  • Strong SQL skills and practical experience with data integration, ETL/ELT, data validation, or transformation processes.
  • Understanding of data governance concepts including data quality, metadata, lineage, security, and auditability.
  • Strong analytical, problem-solving, documentation, and communication skills with the ability to collaborate across business and technology teams.

Responsibilities

  • Design and maintain logical and physical data models for banking use cases, applying standards such as FSLDM, FIBO, and/or BIAN where applicable.
  • Translate requirements across areas such as payments, lending, deposits, risk, and compliance into normalized, dimensional, or other appropriate data structures.
  • Develop and maintain data pipelines, transformation logic, database objects, warehouse schemas, and data integration components.
  • Implement solutions using Cloudera or Teradata and/or modern platforms such as Snowflake or Databricks.
  • Perform data mapping, profiling, validation, and troubleshooting to maintain data quality and consistency across source and target systems.
  • Support metadata management, data lineage, security, governance, and auditability requirements within regulated financial environments.
  • Optimize data pipelines, queries, and models for performance, scalability, reliability, and maintainability.
  • Participate in design reviews, testing, deployment, documentation, and continuous improvement of data engineering practices.

Desired Qualifications

  • Banking domain experience across payments, lending, deposits, customer, risk, regulatory reporting, or AML/KYC data.
  • Experience with modeling tools such as Erwin, PowerDesigner, or equivalent technologies.
  • Working knowledge of Apache Spark, Delta Lake, or Apache Iceberg.
  • Experience with data governance platforms such as Collibra or Alation.
  • Familiarity with financial-services data and regulatory frameworks such as Basel III and BCBS 239.
  • Experience working in Agile delivery environments and using version control and CI/CD practices.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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