Data Engineer

ACCENTURE PTE LTD; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

ACCENTURE PTE LTD in Singapore is seeking a Data Engineer to design and build scalable data pipelines and platforms using cloud technologies across financial services. You will own end-to-end data solutions from ingestion through analytics, collaborating with analysts, data scientists, and DBAs to ensure governed, high-quality data delivery.

The role emphasizes strong SQL, Python/Scala, and hands-on experience with Snowflake or Databricks; knowledge of Cloudera/Teradata, Spark, Kafka or Flink,

Qualifications

• Advanced proficiency in Snowflake or Databricks with production queries and data modeling.
• 5+ years in data engineering roles.
• Strong SQL skills and optimization.
• Python or Scala for transformations and automation.
• Banking or financial services data experience with regulatory awareness.

Responsibilities

• Design & build data pipelines - ETL/ELT, transformations, real-time streaming.
• Architect data platforms - schemas, performance, scalability.
• Implement data governance - access control, data quality, metadata tracking.
• Support banking/financial use cases - transactions, analytics, risk reporting.
• Optimize performance & costs - tune queries, cloud resource management.
• Collaborate with analysts, data scientists, DBAs, and architects.
• Document & share knowledge - runbooks, design docs, best-practice guides.

Skills

SQL

Python/Scala

Data Modeling

Snowflake

Databricks

Cloud platforms

Data governance

Kafka

Flink

Regulatory knowledge

Tools

Snowflake

Databricks

Cloudera

Teradata

Apache Spark

Kafka

Flink

AWS

Azure

GCP

Job description

About the Role

We are seeking a Data Engineer to design and build scalable data pipelines and platforms using cloud technologies. You will work on enterprise data infrastructure projects across financial services, owning end-to-end data solutions from ingestion through analytics serving. This role requires strong technical depth and the ability to collaborate across teams to deliver high-quality, governed data solutions.

Key Responsibilities

• Design & build data pipelines - ETL/ELT processes, data transformations, real-time streaming


• Architect data platforms - design schemas, optimize performance, ensure scalability


• Implement data governance - manage access control, data quality checks, metadata tracking


• Support banking/financial use cases - work on transaction data, customer analytics, risk reporting


• Optimize performance & costs - tune queries, manage cloud resources, balance speed vs. cost


• Collaborate with teams - work with analysts, data scientists, DBAs, and architects


• Document & share knowledge - write runbooks, design docs, and best-practice guides

Required Qualifications

• Advanced proficiency in:Snowflake OR Databricks - production experience with complex queries, performance tuning Data Modeling - design normalized/dimensional schemas for analytics Cloudera OR Teradata - experience with at least one legacy/on-premises platform


• 5+ years in data engineering roles


• Strong SQL - write efficient, optimized queries


• Python or Scala - develop data transformations and automation


• Banking or financial services data experience - familiarity with regulatory requirements (AML, reporting)

Recommended Skills

• Experience with both a cloud platform (Snowflake/Databricks) AND a traditional warehouse (Cloudera/Teradata)


• Apache Spark - distributed processing, optimization


• Data governance tools - custom metadata systems, data catalogs


• Cloud platforms - AWS, Azure, or GCP


• Real-time data - streaming pipelines, Kafka, Flink


• Agile & collaborative working environment

What We’re Looking For

• Hands-on builder - you've shipped multiple production pipelines


• Detail-oriented - cares about data quality, documentation, and maintainability


• Curious learner - stays current with data engineering trends


• Problem solver - debugs performance issues and proposes elegant solutions


• Team player - collaborates well, asks questions, shares knowledge