Data Engineer - Lakehouse & AI-Driven Pipelines

SIMPLIFYNEXT PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

SimplifyNext is a Singapore-headquartered digital engineering firm delivering AI-enabled applications and intelligent automation. We seek a Data Engineer to design and deploy scalable data lakehouse platforms, collaborating with architects, AI engineers and business analysts on the same delivery.

You will own end-to-end pipelines, ensure data quality and governance, and apply DevOps practices for production readiness on cloud platforms like Databricks, AWS or Microsoft Fabric.

Qualifications

• Degree in Computer Science, Data Engineering, Information Systems or a related field.
• 4+ years of hands-on experience in data engineering, ETL/ELT development or data platform roles, building and operating production pipelines.
• Strong hands-on experience with at least one modern data platform - Databricks, Apache Spark, Microsoft Fabric or AWS (Glue, Step Functions, Lambda, S3, Redshift).
• Proficiency with open table formats and lakehouse architecture - Iceberg, Delta Lake or S3 Tables - including schema evolution, partitioning and ACID transactions.
• Strong SQL and proficiency in Python (or Scala/Java) for data processing and automation.
• Experience designing data models and warehouse/lakehouse layers for analytics, reporting and AI workloads.
• Experience defining and automating data quality validation, monitoring and reconciliation.
• Working knowledge of DevOps for data - CI/CD, version control and infrastructure-as-code (Terraform, CloudFormation or equivalent).
• Ability to work directly with business and technical stakeholders and communicate technical designs clearly to non-technical audiences.

Responsibilities

• Design and implement scalable ETL/ELT pipelines on modern cloud data platforms - AWS (Glue, Step Functions, Lambda, S3), Databricks, Spark or Fabric.
• Architect and build data lakehouse solutions using Iceberg, Delta Lake or S3 Tables, including schema evolution and ACID transactions.
• Define, implement and maintain automated data quality validation frameworks with metrics and monitoring.
• Write production-quality code and deploy solutions on cloud infrastructure, including GCC environments.
• Apply DevOps practices - CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation or equivalent).
• Prepare and serve data for AI and analytics workloads; support BI teams with reliable datasets.
• Collaborate with cross-functional teams and document designs; own pipelines in production with monitoring and incident response.

Skills

Data engineering

SQL

Python

Communication with stakeholders

DevOps for data

ETL/ELT development

Analytical thinking

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems or related field

Tools

Databricks

Apache Spark

Microsoft Fabric

AWS (Glue, Step Functions, Lambda, S3)

Delta Lake

Iceberg

Terraform

CloudFormation

Power BI

Tableau/Looker

Presidio

Job description

SimplifyNext is a Singapore-headquartered digital engineering firm delivering AI-enabled applications and intelligent automation. We seek a Data Engineer to design and deploy scalable data lakehouse platforms, collaborating with architects, AI engineers and business analysts on the same delivery.

You will own end-to-end pipelines, ensure data quality and governance, and apply DevOps practices for production readiness on cloud platforms like Databricks, AWS or Microsoft Fabric.