Data Engineer (PERM)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking Data Engineers to design, build, and maintain scalable data platforms that enable efficient data collection, storage, processing, and analytics.

You will develop batch and streaming pipelines, ensure data quality, governance, and security across large datasets, and collaborate with data scientists and analytics teams on modelling initiatives.

Qualifications

• 3+ years of experience designing, building, and optimising data pipelines.
• Experience with ETL/Data Integration tools such as Informatica or Talend.
• Hands-on with Spark, Hadoop, and Hive.
• Strong proficiency in SQL, Python, and data management.
• Experience with diverse data sources including structured and unstructured data.

Responsibilities

• Collaborate with customers, business stakeholders, partners, and internal teams to understand data requirements and provide technical solutions.
• Partner closely with data scientists and analytics teams to support data modelling and ML initiatives.
• Design, develop, document, and maintain scalable data models, ETL/ELT processes, data warehouses, and pipelines for large data volumes.
• Build and optimise batch, near real-time, and real-time data processing solutions.
• Monitor, maintain, and improve the performance, reliability, and scalability of data platforms and pipelines.
• Define, monitor, and report SLAs for data pipelines and data products.
• Implement data security, governance, and compliance standards across data platforms.
• Drive data quality assurance initiatives and establish best practices for data integrity and consistency.
• Support pre-sales activities by providing technical expertise for data management solutions.

Skills

SQL

Python

Data Wrangling

Data Visualisation

Analytical skills

Stakeholder Management

Tools

Informatica

Talend

Apache Spark

Hadoop

Hive

PostgreSQL

SAP data sources

Job description

Position Overview

We are looking to recruit several Data Engineers to design, develop, and maintain scalable, secure, and high-performance data platforms that enable efficient data collection, storage, processing, and analytics. In this role, you will build robust batch and real-time data pipelines, optimise data architectures, and ensure data quality, governance, and availability to support business intelligence and advanced analytics initiatives.

Key Responsibilities

• Collaborate with customers, business stakeholders, partners, and internal teams to understand data requirements and provide technical solutions.
• Partner closely with data scientists and analytics teams to support data modelling and machine learning initiatives.
• Design, develop, document, and maintain scalable data models, ETL/ELT processes, data warehouses, and data pipelines for large volumes of structured and unstructured data.
• Build and optimise batch, near real-time, and real-time data processing solutions.
• Monitor, maintain, and improve the performance, reliability, and scalability of data platforms and pipelines.
• Define, monitor, and report Service Level Agreements (SLAs) for data pipelines and data products.
• Implement data security, governance, and compliance standards across data platforms.
• Drive data quality assurance initiatives and establish best practices for data integrity and consistency.
• Support pre-sales activities by providing technical expertise for data management solutions, proposal development, and post-implementation support.

Requirements

• Minimum 3 years of experience designing, building, and optimising data pipelines, data architectures, and datasets using ETL/Data Integration tools such as Informatica, Talend, or equivalent.
• Hands‑on experience with data transformation, metadata management, workload management, and big data technologies such as Apache Spark, Hadoop, and Hive.
• Strong proficiency in:SQLPythonDatabase Management Systems (DBMS)Data WranglingData Visualisation
• Experience working with diverse data sources, including:Flat filesSQL databasesSAP databasesPostgreSQLUnstructured data (text, documents, images, audio, video, sensor data)
• Good understanding of data security, governance, and data quality best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.