Senior Data Engineer: Lakehouse & AI Data Platforms

Evolution Singapore; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Evolution Singapore is hiring a senior data engineer to implement enterprise-scale Lakehouse platforms, data products, and data marketplace capabilities. You will design and maintain scalable data ingestion pipelines (batch, streaming, CDC, API-based) and build data contracts with strong governance.

You will also develop data architectures for NLP/AI analytics, support ML platforms, and expose data through APIs and BI tools, across distributed teams.

Qualifications

• Bachelor’s degree required in CS/Engineering/IT or related field.
• 8–12 years of experience in Data Engineering, Big Data, Lakehouse, or large-scale platforms.
• Hands-on with Databricks, Snowflake, Cloudera, cloud platforms (Azure/AWS/GCP).
• Proven data product and data marketplace experience.
• Strong Spark, PySpark, SQL, Python, or Scala skills.

Responsibilities

• Implement and operationalize enterprise-scale Lakehouse platforms and data products.
• Design, develop, test, and maintain scalable batch and streaming pipelines.
• Build data contracts, SLAs, data quality controls, and governance standards.
• Develop data architectures for NLP and AI-driven analytics including multimodal data.
• Support ML platforms, model deployment, and operationalization.
• Expose data via APIs, dashboards, and BI tools.
• Create and maintain technical docs and runbooks.
• Collaborate with distributed teams across projects.

Skills

Spark / PySpark

SQL

Python

Scala

Data modeling

Data governance

Stakeholder mgmt

Agile

Education

Bachelor’s degree in Computer Science / Engineering / IT

Tools

Databricks

Snowflake

Iceberg

Hudi

Delta Lake

Kafka

Flink

Airflow

Kubernetes

Docker

Terraform

Jenkins

Git

Job description

Evolution Singapore is hiring a senior data engineer to implement enterprise-scale Lakehouse platforms, data products, and data marketplace capabilities. You will design and maintain scalable data ingestion pipelines (batch, streaming, CDC, API-based) and build data contracts with strong governance.

You will also develop data architectures for NLP/AI analytics, support ML platforms, and expose data through APIs and BI tools, across distributed teams.