Senior Data Engineer: Real‑Time Lakehouse & AI Data

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

1011 United Overseas Bank Ltd in Singapore seeks a hands-on Senior Data Engineer to build enterprise-scale ingestion frameworks, Lakehouse data platforms, governed data products and analytical data models using Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink, among others.

The role requires strong programming skills (Java, Python, SQL) and experience with Kubernetes, OpenShift, Docker, CI/CD, MLflow and observability tools to deliver real-time data solutions and AI-ready data

Qualifications

• Master’s degree in computer science or a related discipline.
• At least 15 years of experience in technology delivery, preferably within banking or financial services.
• Mandatory Skills Apache Spark (PySpark) Java, Python, Advanced SQL, Data Modeling, Delta Lake/Lakehouse concepts, ETL/ELT and CDC, API integration and data engineering best practices
• Preferred Skills Airflow, Kubernetes, Terraform, Data Products

Responsibilities

• Partner with architecture, governance, analytics and business teams to deliver trusted, reusable and AI‑ready data assets.
• Design metadata‑driven ingestion frameworks supporting batch, CDC, streaming, APIs and files.
• Develop reusable Spark/Python components, orchestration, logging, monitoring and error handling.
• Build Bronze, Silver and Gold layers using Lakehouse principles.
• Design conceptual, logical and physical data models.

Skills

Apache Spark

PySpark

Java

Python

SQL

Delta Lake

ETL/ELT

CDC

API integration

Airflow

Kubernetes

Terraform

Data Modeling

Data Products

Education

Master’s degree in computer science or related disciplines

Tools

Hadoop

Kafka

Iceberg

Job description

1011 United Overseas Bank Ltd in Singapore seeks a hands-on Senior Data Engineer to build enterprise-scale ingestion frameworks, Lakehouse data platforms, governed data products and analytical data models using Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink, among others.

The role requires strong programming skills (Java, Python, SQL) and experience with Kubernetes, OpenShift, Docker, CI/CD, MLflow and observability tools to deliver real-time data solutions and AI-ready data