Senior Data Engineer

NICOLL CURTIN TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A European Investment Bank in Singapore is seeking a Data Engineer to design and maintain data pipelines and backend services. The role involves working with complex data problems and modern cloud technologies in a regulated environment. Applicants should have at least 5 years of experience in building data systems and strong skills in Python, SQL, and large-scale data processing technologies. This position offers a 12-month contract with a possibility of becoming permanent.

Qualifications

• 5+ years of experience building end-to-end data systems and ETL/ELT pipelines.
• Strong SQL skills for diagnosing data issues and validating transformations.
• Hands-on experience with large-scale data processing in cloud environments.

Responsibilities

• Design, develop, and maintain real-time data pipelines and backend services.
• Define data requirements and transformation logic across data sets.
• Write secure, high-quality code in Python or similar languages.
• Support scalable data architectures using Azure and distributed computing.

Skills

Real-time data engineering

Data governance

Data quality

Python

SQL

Large-scale data processing

ETL/ELT

Azure

Education

BS/MS in Computer Science or equivalent

Tools

Airflow

Databricks

PySpark

Kubernetes

Docker

Kafka

Job description

Our client, a Private European Investment Bank is looking for a Data Engineer to design, build, and maintain the data pipelines, backend services, and governance frameworks that power real-time decisioning and analytics across the organisation. This role suits someone who enjoys solving complex data problems, building robust backend systems, and working with modern cloud and streaming technologies in a regulated environment.

Responsibilities

• Design, develop, and maintain real-time data pipelines, backend services, and workflow orchestration for decisioning, reporting, and data processing.
• Define data requirements, models, and transformation logic across structured and unstructured data sets.
• Write high-quality, secure, well-tested code in Python, Scala, or similar languages.
• Build software and processes that strengthen data governance, data quality, and data security.
• Support scalable data architectures using Azure, Delta/Live Tables, and distributed computing frameworks.
• Troubleshoot and resolve data issues across pipelines, storage layers, and downstream systems.

Requirements

• BS/MS in Computer Science, Data Engineering, Information Systems, or equivalent experience.
• At least 5+ years building end-to-end data systems, ETL/ELT pipelines, and workflow management using tools such as Airflow, Databricks, or similar.
• Strong SQL skills for diagnosing data issues and validating complex transformations.
• Hands-on experience with large-scale data processing using Databricks, PySpark, Spark Streaming, and Delta Tables.
• Experience in Azure cloud data environments, including Data Lake Storage and CI/CD deployment workflows.
• Familiarity with microservices platforms (Kubernetes, Docker) and event-driven systems (Kafka, Event Hub, Event Grid, Flink).
• Experience developing in Python, Scala, JavaScript, Java, or C#.
• Knowledge of dbt, Data Vault, or Microsoft Fabric is a plus.
• Prior experience in banking or financial services is highly preferred

(12-Month Contract — Convertible to Permanent)