Data Analytics Engineer (Contract)

Singapore
$7,000.00 - $10,000.00 Monthly Market Aligned
Default

Sector: 

Technology

Function:

Technology

Contact Name:

Aviral Bhargava

Expiry Date:

07-May-2026

Job Ref:

JN -042026-493179

Date Published:

07-Apr-2026

Data Analytics Engineer (Contract)

Location: Singapore

Contract Type: 12-months Contract (Extendable & Convertible)

Keywords: Data Transformation, Data Architecture, Qlik Sense, Qlik Cloud, Snowflake, SQL, Python, Cloud (AWS/Azure), Data Governance, Analytics

Company / Role Overview

A well-established consumer retail organisation is looking to hire a Data Manager to support ongoing data transformation and analytics initiatives. This is a hands-on individual contributor role focused on building scalable data pipelines, managing cloud-based data platforms, and enabling business intelligence capabilities across the organisation. The role sits within the technology function and reports directly to the Head of Technology, working closely with business stakeholders to deliver reliable, high-quality data solutions. Exposure to AI-driven use cases is beneficial, particularly where data solutions have been embedded into operational workflows.

Key Responsibilities

  • Design and implement end-to-end data pipelines, covering ingestion, transformation, modelling, and delivery
  • Develop and maintain scalable cloud-based data architectures to support reporting, analytics, and evolving AI use cases
  • Prepare structured, high-quality datasets to enable business intelligence and advanced analytics
  • Act as the technical owner of enterprise data platforms, ensuring performance, stability, and continuous improvement
  • Configure and manage data warehouse and analytics environments, including troubleshooting and optimisation
  • Implement and maintain data governance standards, including data quality checks, validation rules, and documentation
  • Support development of dashboards and reporting layers, improving accessibility and usability of data for business users
  • Work closely with stakeholders to translate business needs into practical data solutions and promote self-service analytics

Job Requirements

Must-Have:

  • 4–5 years of experience in data engineering, data analytics, or data platform roles
  • Proven experience working on data transformation or data platform initiatives in an enterprise environment
  • Hands-on experience with Qlik Sense and/or Qlik Cloud for analytics and reporting
  • Strong proficiency in SQL and experience with data transformation tools
  • Experience working with cloud-based data platforms (e.g. Snowflake or equivalent)
  • Familiarity with cloud environments such as AWS and/or Azure
  • Strong ownership mindset with the ability to work independently and manage multiple priorities

Nice-to-Have:

  • Experience integrating AI or machine learning outputs into business workflows (not just exposure)
  • Familiarity with Python or similar languages for data processing or analytics use cases
  • Experience with additional BI tools such as Power BI or Tableau
  • Exposure to data governance practices including lineage, quality, and compliance
  • Background in retail or consumer-driven environments
  • Demonstrated career stability (e.g. longer tenures in prior roles)

If this role aligns with your experience and career goals, please send your application to [email protected].

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

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