280 Data Development jobs in Singapore

Overview
Director, Digitalisation & Data Development Office at Sun Ray Scheme. The position is a strategic technology leader responsible for driving digital transformation, data intelligence, and operational innovation in alignment with the agency’s vision & mission. The director will lead efforts across IT infrastructure, enterprise systems (including NetSuite and SAP), data analytics, artificial intelligence, and automation. This role ensures the effective and ethical use of technology to improve organisational effectiveness and deliver better outcomes for clients, caregivers, volunteers, donors and staff.
Responsibilities
Strategic Technology Leadership
Develop and implement a future-forward technology roadmap aligned with the agency's strategic goals and social impact objectives.
Advise the CEO and Board on emerging technologies, risks, and digital opportunities to improve service delivery and operational efficiency.
Lead digital transformation initiatives including system integration, cloud computing, mobile platforms, and tech-enabled client services.
Enterprise Systems & Applications
Oversee the implementation, optimisation, and integration of enterprise resource planning (ERP) systems, including NetSuite and/or SAP.
Ensure enterprise systems support internal processes, compliance, reporting, and service delivery.
Collaborate with finance, HR, and service teams to ensure system usability and alignment with strategic goals and operational needs.
Data, AI & Automation
Champion a robust data strategy including data governance, architecture, quality, and accessibility across departments.
Lead the development and adoption of advanced data analytics and data development practices.
Drive the use of Generative AI to enhance knowledge management, client communication, and productivity.
Implement Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.
IT Operations & Security
Oversee IT infrastructure, cloud systems, cybersecurity, helpdesk, and technical support in alignment with industry standards and ministry/statutory board requirements.
Maintain business continuity and disaster recovery protocols.
Ensure compliance with regulatory requirements including PDPA, IMDA standards, and data ethics.
Promote digital equity by collaborating with frontline teams to design inclusive, accessible digital solutions.
Test and scale tech pilots in collaboration with programme teams and external partners.
Evaluate emerging technologies to enhance service access and outcomes.
Leadership & Capacity Building
Lead and develop a high-performing technology team.
Build digital literacy and tech capabilities across the organisation.
Foster a culture of continuous learning and ethical innovation.
Stakeholder Engagement & Partnerships
Partner with funders, tech vendors, and institutions to co-create solutions and secure technology grants.
Represent the agency in national conversations on digitalisation and tech-for-good.
Collaborate with sector peers and start-ups to co-develop scalable social impact solutions.
Job Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.
At least 10 years of technology leadership experience.
Hands-on experience with NetSuite and/or SAP.
Experience with data analytics platforms, AI, or RPA tools.
Excellent analytical and critical thinking skills with a high attention to detail.
General understanding of best practices and business processes.
Knowledge of ERP integrations and automation tools.
Experience with BI tools, SQL, Python, Power Platform, UiPath, or OpenAI APIs.
Experience in social service, healthcare, or government sectors.
Experience in a consulting environment.
Professional Certifications
Certifications such as PMP, ITIL, SAP, NetSuite Administrator/Professional, etc.
Benefits
Network of sector leaders
Competitive remuneration (The Sector Salary Guidelines is published on our NCSS website)
Only shortlisted candidates will be notified.
Job Details
Seniority level: Director
Employment type: Full-time
Job function: Information Technology, Project Management, and Strategy/Planning
Industries: Non-profit Organizations
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We are seeking a skilled Data Architecture Specialist to join our team. As a key member of our data organization, you will be responsible for designing and implementing robust data architectures that support business growth and decision-making.

Data architecture specialists design and implement large-scale data systems, ensuring efficient data processing and storage.

• Data Processing : Develop ETL/ELT pipelines that efficiently process large volumes of structured and unstructured data from diverse sources.
• Data Governance : Embed data quality, governance, and security standards throughout all data engineering processes.

Hands-on Development : Create and optimize PySpark scripts for efficient data extraction, transformation, and loading from large datasets.

Mentorship and Leadership : Provide technical mentorship to junior data engineers and analysts, lead code reviews, and drive the adoption of modern data engineering tools and methodologies.

Collaboration : Work with cross-functional teams to deliver integrated solutions, including data scientists, analysts, and software engineers.

Pipeline Optimization : Monitor and optimize data pipeline performance, implementing solutions for scalability and cost-effectiveness.

• Proficiency in PySpark, Python, and SQL
• Experience with ETL/ELT pipeline development
• Strong understanding of data governance and security principles
• Ability to work collaboratively in a team environment

A dynamic work environment with opportunities for professional growth and development.

Please submit your resume and cover letter to apply for this exciting opportunity.

We are seeking a seasoned data architecture specialist to join our team as a senior contributor responsible for designing, implementing, and optimizing robust data infrastructure and pipelines. This role offers the opportunity to work hands-on with cutting-edge AWS and Databricks technologies whilst providing technical guidance to team members and collaborating with stakeholders across the organization on complex data engineering challenges.

• Data Architecture & Engineering : Design and implement enterprise-scale data architectures, including data lakes, warehouses, and real-time streaming platforms. Develop and maintain ETL/ELT pipelines that efficiently process large volumes of structured and unstructured data from diverse sources. Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
• Technical Implementation : Hands-on development of Databricks notebooks using PySpark, Python, and SQL for ETL automation. Create and optimize PySpark scripts for efficient data extraction, transformation, and loading from large datasets. Implement custom data manipulation, validation, and error handling solutions to enhance ETL robustness.
• Technical Guidance : Provide technical mentorship to junior data engineers and analysts. Lead code reviews, establish best practices, and drive adoption of modern data engineering tools and methodologies. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver integrated solutions.
• Performance & Optimisation : Monitor and optimize data pipeline performance, implementing solutions for scalability and cost-effectiveness. Conduct testing, debugging, and troubleshooting of data transformation processes. Verify data integrity throughout pipeline stages and resolve complex technical issues.

Role – SAP Data Architecture

Job Requisition Number: SA-002

Job Level: 5 – 7 Years of experience

Key Responsibilities

Develop data analysis and reporting framework for S/4HANA eco-system and ensure it is aligned to our enterprise level data lake and analytics architecture & security guidelines

Assess platforms and tools that are required for the implementation of data analysis & reporting solutions and be able to advise the project team on the merits & demerits of different solution approaches and make solution recommendations

Drive our SAP eco system analytics implementation and work with both internal and external teams for the execution to completion

Collaborate closely with both internal & external partners to achieve alignment between people working on the implementation

Assess new reporting/analytics technologies and recommend adoption where it will improve overall usage of data as enabler for business purposes

This is an individual contributor & hands-on role

Requirements

• Degree in Information Technology or related fields

• At least 5 - 7 years of experience in designing and implementing Data Warehouse and SAP Analytics cloud solutions, including integration with data from SAP Cloud solutions such as SuccessFactors, Ariba, Concur, etc, along with integration to non-SAP systems

• Have experience in customizing standard business contents in BW to suit the reporting requirements of customized process in S/4HANA

• Experience in SAP Datasphere & SAC Implementation

• Should have worked for at least 1 full cycle embedded analytics and enterprise analytics implementation projects with end-to-end experience in requirements gathering, functional analysis, high level design, built, testing and deployment (implementation in BW/4HANA would be an added advantage)

• Good understanding of ETL processes and techniques such as SDI and Data services for extraction of data from S/4HANA and non-SAP databases

• Have knowledge of working with native HANA modelling and BW modelling techniques and tools

• Knowledge of SAP Analytics Cloud (SAC) BI tool, its pre-built visualization contents, integration and connectivity capabilities

• Have knowledge / experience in delivering projects under the Agile framework

• Work independently as well as collaboratively as part of a highly skilled team

• Good problem-solving and communication skills

Please forward your resume in MS word format to /

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• We are looking for a skilled expert with experience in designing and developing large-scale data pipelines using Scala, Python, and PySpark.
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• The successful candidate will lead and mentor a team of data engineers to build and maintain cutting-edge data architectures.
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• Collaboration with cross-functional teams is crucial to identifying data requirements and implementing data-driven solutions that meet business needs.
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• The ideal candidate will ensure data quality, integrity, and security across all data pipelines.
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• A minimum of 5 years of experience in big data engineering with expertise in Scala, Python, and PySpark.
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• Strong experience with big data technologies such as Apache Spark and Hadoop.
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• Experience with cloud-based data platforms such as AWS, GCP, or Azure.
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• Strong understanding of data architecture, data governance, and data security principles.
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• Excellent leadership and mentoring skills with experience leading high-performing teams.
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• Strong communication and collaboration skills with ability to work with cross-functional teams.
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• Opportunities to work on challenging projects and develop your technical skills.
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• A collaborative and dynamic work environment.
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• A competitive salary and benefits package.
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We are seeking a skilled professional to design and implement large-scale data architectures using cutting-edge technologies.

Key Responsibilities:

• Develop scalable data systems that process vast amounts of unstructured data from diverse sources.
• Analyze complex data sets to drive business value and optimize performance.
• Create real-time data pipelines for seamless data integration and analytics.
• Collaborate with cross-functional teams to embed data insights into business applications.
• Troubleshoot data pipeline issues and ensure high-quality data processing.

Requirements:

• At least 10 years of experience in data engineering, with a focus on building robust data systems.
• Expertise in Spark Streaming, PySpark, and Scala programming languages.
• Strong analytical and problem-solving skills, with attention to detail and scalability.
• Excellent communication and collaboration skills.

Benefits:

• The opportunity to work with innovative technologies and contribute to the development of cutting-edge data solutions.
• A dynamic and supportive work environment that fosters growth and collaboration.

Responsibilities
About Global Payment
The Global Payment team of ByteDance provides payment solutions – including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and more – to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.
The Data Intelligence team in Global Payment leads the efforts of discovering data‐driven business values for Global Payment by collecting, visualising and mining generated data from the pipeline of the whole Global Payment system. The outcomes include optimising key business metrics, improving Global Payment products and user experiences, risk management through data intelligence, and predicting trends from historical data.
Responsible for the data flow and related data service construction of ByteDance's global payment business.
Address ultra‐large‐scale data issues by processing hundreds of billions of incremental user data daily.
Responsible for the real‐time transmission, cleaning, conversion, and calculation of streaming data and provide efficient query services externally.
Participate in data governance work to improve data usability and quality.
Deeply understand and abstract business requirements, leverage data value, and cooperate closely with business teams.
Qualifications
Minimum Qualifications:

• Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors.
• Familiar with Linux operating system and development environment.
• Possess solid computer fundamentals (data structures, operating systems, etc.).
• Proficient in any one programming language such as C/C++, Java, Python.
• Sensitive to data, meticulous and conscientious, with the ability to identify problems from data.

Preferred Qualifications:

• Experience in open‐source project research or contribution.
• Participated in ACM or other software development competitions.
• Familiar with one or more big data processing tools/frameworks, including but not limited to Hadoop, MapReduce, Hive, Storm, Spark, Druid, Kafka, HBase, Elasticsearch, etc.

About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, ByteDance has made it easier and more fun for people to connect, consume and create content.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. To achieve that goal, we celebrate diverse voices and create an environment that reflects the many communities we reach.
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Responsibilities
Build data warehouses and perform data analysis based on business requirements, leveraging big data components
Research cutting-edge data mining technologies in the big data field, and apply relevant techniques to real business scenarios
Participate in the planning and development of big data platforms and contribute to the establishment of data mining capability frameworks
Job Requirements
Bachelor’s degree or above in Electronics, Telecommunications, Computer Science, Software Engineering, or related technical disciplines.
Strong communication and coordination skills, with a collaborative team-oriented mindset.
Highly goal-driven with a strong sense of responsibility.
Excellent English and Chinese proficiency will be considered a strong advantage.
Seniority level
Entry level
Employment type
Full-time
Industries
Computers and Electronics Manufacturing
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