Contract Associate Data Engineer

Singapore Tourism Board; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A prominent tourism agency in Singapore is seeking a Data Engineer to collaborate on creating data tools and developing data pipelines. You will work with data scientists and engineers to ensure reliable data processes that meet business needs. The ideal candidate should have training in a quantitative discipline, experience with data workflows, and strong communication skills. Flexible work arrangements and professional development opportunities are offered.

Benefits

Professional development

Flexible work arrangements

Family care leave

Wellness programs

Qualifications

• Trained in a quantitative discipline such as Computer Science, Engineering, Informatics, Mathematics, or Statistics.
• 1-2 years of experience in developing, deploying, and maintaining data workflows.
• Experience with deploying data pipelines from development to production is advantageous.
• Strong command of English for clear communication.
• Good analytical skills with attention to detail.

Responsibilities

• Collaborate with data scientists and engineers to create data tools.
• Manage projects to deliver data engineering implementations.
• Design and implement self-managed data processing pipelines.
• Review and coordinate data ingestion across platforms.
• Develop monitoring tools for data integrations.

Job description

What the role is:

[What the role is]

The role of the Data Engineer is to collaborate with the existing team of data scientists, data engineers, and analysts to create data tools, develop data ingestion and processing pipelines, ensuring optimized data processing, and that data systems meet STB's business requirements. The role requires working closely with the data science team to set up and deploy data pipelines to support machine learning models and analytics scripts, develop data integrations, assemble complex datasets, and implement process improvements. The Data Engineer plays a key role in enhancing data reliability and quality while ensuring scalable business processes and supporting the team's data-related initiatives.

What you will be working on:

[What you will be working on]

1. Project Management

a) Project manage and work closely with vendors and internal stakeholders to deliver on data engineering related implementations, ensuring that deliverables and objectives are met within scope and timelines.

b) Collaborate with cross-functional teams, including data scientists, data engineers, DevOps engineers, product managers, business analysts, and stakeholders, to integrate and deploy models into current analytics platforms and production systems.

c) Plan, execute, and monitor project milestones, providing timely updates to management on progress and issues.

2. Application of Engineering Disciplines in Support of Strategic Business Objectives

a) Prepare, process, cleanse, and verify the integrity of data collected for analysis.

b) Design, develop, and implement self-managed data processing pipelines related to key enterprise data domains to maintain agility in responding to operational needs.

c) Review the design and implementation of data pipelines developed by vendors to ensure they meet operational requirements and are integrated into self-managed data pipelines.

d) Work closely with vendors and stakeholders to manage and coordinate data ingestion and processing pipelines across platforms, including mobile apps, SaaS, on-premise, and partner systems.

e) Help architect data integrations and processing flows between external sources, AWS data warehouses, and internal systems for scalable workloads.

f) Provide guidance on best practices for Cloud data integrations.

g) Identify, design, and implement process improvements like automation and infrastructure re-design for scalability.

h) Develop monitoring tools to ensure successful integrations and alert on failures.

i) Implement DataOps best practices for continuous integration, deployment, and governance across the data lifecycle.

3. Data Integration and Data Management

a) Collaborate to review and improve existing data integration processes.

b) Work with partners to assemble large datasets meeting business requirements.

c) Contribute to designing an integrated data model for analysis across datasets.

d) Recommend improvements to data reliability and quality, including collection procedures.

e) Assess the effectiveness and accuracy of data sources to meet quality standards.

What we are looking for:

[What we are looking for]

• Trained in a quantitative discipline: Computer Science, Engineering, Informatics, Mathematics, or Statistics.
• 1-2 years of experience in developing, deploying, and maintaining data workflows.
• Experience with deploying data pipelines from development to production is advantageous.
• Supportive of cross-functional teamwork in a fast-paced environment.
• Strong command of English, with good presentation and communication skills to explain complex ideas clearly.
• Good analytical skills with attention to detail and problem-solving abilities.
• Experience with structured and unstructured datasets is essential.
• Proficient in tools like R, Python, and SQL.
• Experience with DataOps and DevOps for data workflows is advantageous.

About Singapore Tourism Board

The Singapore Tourism Board (STB) is the lead agency for tourism development in Singapore. We aim to shape a vibrant tourism landscape, bringing the Passion Made Possible brand to life, inspiring passions and sharing experiences. We foster a collaborative environment of trust, openness, fun, and care. Our benefits include professional development, flexible work arrangements, family care leave, wellness programs, and recognition as a top employer. For more info, visit https://www.stb.gov.sg.