Data Engineer

Merquri; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Merquri is seeking a Data Engineer to join our analytics team. You will design, build and maintain scalable data pipelines, data warehouses and cloud-based data platforms that support analytics and business decision‑making.

You will work closely with cross‑functional teams to transform raw data into reliable, accessible datasets while improving the performance, quality and efficiency of our data systems. Responsibilities include developing ETL/ELT processes, modelling data, and ensuring data

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field.
• 3+ years of experience in data engineering, data warehousing, data processing, data modelling or ETL/ELT development.
• Strong experience in SQL and Oracle PL/SQL development.
• Hands-on experience building and maintaining data pipelines and data warehouses.
• Experience using Python, Java or another programming language for data processing and automation.
• Experience with cloud-based data platforms, preferably AWS.
• Familiarity with AWS services such as S3, EC2, Redshift, Athena, EMR or Kinesis.
• Experience with data engineering technologies like Apache Airflow, Apache Spark, Hadoop, HDFS, Hive.

Responsibilities

• Design, build, test and maintain databases, data warehouses, data lakes and large-scale data processing systems.
• Develop reliable data pipelines to support analytics, data modelling and production workloads.
• Build and continuously improve ETL/ELT processes based on business requirements.
• Collect, clean and transform structured, semi-structured and unstructured data.
• Prepare data for descriptive, predictive and prescriptive analytics.
• Develop and optimise Oracle SQL, PL/SQL, stored procedures and batch jobs.
• Improve data quality, reliability, availability and processing efficiency.
• Organise and maintain data assets and catalogues for easy access and retrieval.
• Support routine and ad-hoc data requirements from analytics teams, stakeholders and business users.
• Work closely with engineering, analytics and business teams to deliver practical data solutions.

Skills

SQL

Oracle PL/SQL

Python

Java

Data modeling

ETL/ELT

Cloud platforms

Data warehousing

Data pipelines

SQL tuning

Education

Bachelor’s degree in CS/IT/Engineering

Tools

AWS

S3

Redshift

EC2

EMR

Kinesis

Apache Airflow

Apache Spark

Hadoop

HDFS

Hive

Job description

We are looking for a Data Engineer to join our analytics team. You will design, build and maintain scalable data pipelines, data warehouses and cloud-based data platforms that support analytics and business decision-making.

You will work closely with cross-functional teams to transform raw data into reliable, accessible datasets while improving the performance, quality and efficiency of our data systems.

Responsibilities

• Design, build, test and maintain databases, data warehouses, data lakes and large-scale data processing systems.
• Develop reliable data pipelines to support analytics, data modelling and production workloads.
• Build and continuously improve ETL/ELT processes based on business requirements.
• Collect, clean and transform structured, semi-structured and unstructured data.
• Prepare data for descriptive, predictive and prescriptive analytics.
• Develop and optimise Oracle SQL, PL/SQL, stored procedures and batch jobs.
• Improve data quality, reliability, availability and processing efficiency.
• Organise and maintain data assets and catalogues for easy access and retrieval.
• Support routine and ad-hoc data requirements from analytics teams, stakeholders and business users.
• Work closely with engineering, analytics and business teams to deliver practical data solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field
• At least 3 years of relevant experience in data engineering, data warehousing, data processing, data modelling or ETL/ELT development.
• Strong experience in SQL and Oracle PL/SQL development.
• Hands‑on experience building and maintaining data pipelines and data warehouses.
• Experience using Python, Java or another programming language for data processing and automation.
• Experience working with cloud-based data platforms, preferably AWS.
• Familiarity with AWS services such as S3, EC2, Redshift, Athena, EMR or Kinesis.
• Experience with one or more data engineering technologies, such as Apache Airflow, Apache Spark, Hadoop, HDFS, Scala or Hive.
• Good understanding of database architecture, schema design and performance optimisation.
• Strong analytical, problem‑solving and communication skills.
• Ability to work effectively with both technical and business teams.

Preferred Skills

• Experience with real‑time data streaming solutions.
• Familiarity with Kubernetes, containerisation and CI/CD pipelines.
• Experience deploying data services or microservices.
• Experience in data crawling, data lake development or large-scale data processing.
• Knowledge of machine learning, statistical modelling or algorithm development.
• Relevant certifications in cloud computing, data engineering, software development, databases, data science or machine learning.