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Contract Data Engineer – Tourism Analytics (2-Year Contract)

SpringCube

Contract - Manager

Hospitality, Travel & Leisure

Singapore ( Hybrid )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Contract Data Engineer – Tourism Analytics (2-Year Contract)

Company Overview
This organization is the leading economic development agency for the tourism sector, aiming to position its destination as a future-focused and inspiring place. It emphasizes delivering user-centric travel experiences while enhancing its standing as a multifaceted destination.

Job Description
The Data Engineer collaborates with data scientists, engineers, and analysts to develop data tools and pipelines that support machine learning models, analytics, and strategic business initiatives. This position involves optimizing data systems, ensuring data reliability, and managing scalable business processes while enhancing data quality and governance.

Responsibilities

Project Management

  • Manage projects, working with vendors and internal teams to deliver data engineering solutions on time and within scope.
  • Collaborate with cross-functional teams to deploy models into analytics platforms and production systems.
  • Track project milestones and provide regular updates to management.

Engineering Support for Strategic Objectives

  • Develop and manage data processing pipelines for enterprise data domains.
  • Review and integrate vendor-developed pipelines to meet operational requirements.
  • Architect data integrations and flows between external, cloud-based, and on-premise systems.
  • Optimize processes, automate workflows, and improve data infrastructure scalability.
  • Implement DataOps processes for governance and lifecycle management of data pipelines.

Data Integration and Management

  • Collaborate on improving existing data integration processes and assembling complex datasets.
  • Design integrated data models for analysis across structured and unstructured datasets.
  • Enhance data quality standards and refine data collection procedures for analytics models.
  • Ensure the accuracy of data sources and compliance with quality standards.

Qualifications and Experience

Required

  • Degree in a quantitative or engineering discipline such as Computer Science, Information Systems, or Applied Mathematics.
  • At least 5 years of experience in data engineering with a proven track record of deploying medium to large-scale analytics systems.
  • Proficient in statistical programming tools (e.g., Python, R) and database scripting languages (e.g., SQL).
  • Strong project management and organizational skills with experience in stakeholder management.
  • Skilled in handling structured and unstructured datasets with strong analytical abilities.

Preferred

  • Experience with Qlik Sense and AWS services (e.g., SageMaker, Athena, RDS, Lambda).
  • Certifications such as AWS Cloud Architect, Data Engineer, or Qlik Sense Data Architect.
  • Familiarity with DataOps and deploying models through DevOps processes.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.