Senior Lakehouse Engineer — PySpark, Databricks & AI Data

D L Resources Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bank Sector Client in Singapore seeks a Senior Data Engineer / Lakehouse Engineer to design, build, and operate enterprise data platforms and data marketplaces. You will enable data products, data contracts, and governance across batch, streaming, and API-based ingestion.

Role emphasizes Spark, Python, SQL, and cloud data platforms with strong DevSecOps, CI/CD, and AI-first data pipelines capabilities. You will collaborate across engineering, analytics, and AI teams.

Qualifications

• 8–12 years in Data Engineering, Big Data, Lakehouse, or Data Warehouse.
• Hands-on with enterprise data platforms such as Databricks, Snowflake, or cloud providers.
• Experience building data products, pipelines, and data marketplaces.

Responsibilities

• Design, build, and operationalize enterprise Data Lake/Lakehouse platforms and data products.
• Develop scalable ingestion and processing pipelines for batch, streaming, CDC, and API-based integration.
• Create multimodal ingestion including extraction from documents, images, video, and audio.
• Implement data contracts, SLAs, data quality and governance frameworks.
• Expose data via APIs, dashboards, and data products; support AI/ML data pipelines.
• Collaborate across distributed teams and ensure DevSecOps and CI/CD practices.

Skills

Data engineering

Spark

Python

SQL

Databricks

Cloud platforms

ETL

CI/CD

Education

Bachelor's degree in CS/Engineering/IT/Data Science

Tools

Apache Iceberg

Apache Hudi

Delta Lake

Kafka

Airflow

Kubernetes

Docker

Terraform

Job description

Bank Sector Client in Singapore seeks a Senior Data Engineer / Lakehouse Engineer to design, build, and operate enterprise data platforms and data marketplaces. You will enable data products, data contracts, and governance across batch, streaming, and API-based ingestion.

Role emphasizes Spark, Python, SQL, and cloud data platforms with strong DevSecOps, CI/CD, and AI-first data pipelines capabilities. You will collaborate across engineering, analytics, and AI teams.