1,024 Data Scientists jobs in Singapore
Data Scientists/ Data Analysts / Data Engineers
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Overview
Digital information has grown exponentially, and the rise in the Internet of Things (IoT) technology is likely to accelerate this. There is rising demand for Data Scientists, Data Analysts, Data Artists and Data Visualisers who collect, filter, analyse and make sense of a business’s data, turning vast amounts of data into actionable insights that support business decisions. For students considering a career in data science, there’s never been a more exciting time to explore this opportunity.
Job Demand for Data Scientists in Malaysia
Malaysia’s big data analytics market is expected to reach a value of USD1.9 billion by 2025. That’s just one part of the global market with multibillion dollar potential. IDC expects the global big data and business analytics solutions market to be generating USD274.3 billion revenue by 2022.
The Data and Digital Technologies in the country’s Digital Economy Blueprint are major drivers to propel Malaysia’s plans for expansion for the digital driven economy. Data Science expertise will be a high-demand skill in this landscape, and one which is already experiencing remarkable growth in both demand for talent and potential salaries.
Between 3.3 million and 6 million jobs are expected to be created in Malaysia thanks to Industry 4.0. Data science and analysis will continue to a major career growth opportunity in this landscape, as new and expanding data-driven roles power our connected jobs future.
Job Demand According to Multimedia Development Corporation
Malaysia’s national ICT agency Multimedia Development Corporation (MDeC) has unveiled a plan, supported by seven public and private institutes of higher learning (IHLs), to increase the number of local data scientists from the current 80 to 2000.
Statistics show that there will be about two million job openings for data professionals and that the demand for people with this knowledge and skill will outstrip supply by a ratio of two to one. It’s a global phenomena which is already in motion and Malaysia has set its sights on developing 20,000 data professionals and 2,000 data scientists.
There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. Job demand as well as salary for qualified Data Scientists or Big Data Professionals in Malaysia is high.
Furthermore, according to the 2019 Emerging Jobs in Malaysia Report by LinkedIn, the world’s largest professional network, Data Scientists is listed as one of the Top 5. The findings underscore the demand for jobs which require hybrid skills, primarily to help organisations in Malaysia navigate their digital transformation journey. LinkedIn analysed millions of unique, user-input job titles from the last five years, and found that while the top five emerging jobs are all related to technology, many of them require management and communications skills. Their actual roles are varied and diverse, reflecting a labour market that values talent with a hybrid set of complementary skills.
Job Demand for Data Science and Data Analytics in South East Asia
According to a report by the Asia Pacific Economic Cooperation, leaders in both the private sector and public sector feel that data science and analytics will change the face of business and government, but skills shortages continue to delay its adoption and utilization.
The report found that data science and analytics skills are in high demand, but supply is critically low with employers facing severe shortages.
Its projections suggest that between now and 2022, Malaysia, Singapore, and the Philippines will need 20,000, 15,000, and 340,880 data scientists respectively – and the lack of talent will make a severe dent in the way businesses leverage data to transform their digital DNA.
What are the most in demand job Skills in Malaysia?
A report from the Digital Workforce of The Future by LinkedIn revealed that a combination of skills encompassing Big Data, data analytics and web development registered a 21% growth in demand. In Malaysia, the top five in-demand digital skills are:
Big data
Software and user testing
Mobile development
Cloud computing
Software engineering management
What is the Salary for Data Scientists in Malaysia?
Asean Data Analytics Exchange (ADAX) CEO Sharala Axryd believes data professionals such as data engineers, data analysts and data scientists are the “sexiest jobs” of the 21st century. She said that data science fresh graduates can demand starting pay in the range of RM4,000–RM8,000 — making it the highest paid entry level job in the country today. In addition, a experienced professional in the field can demand up to RM15,000 a month.
Many employers are building their teams from ‘scratch’, accepting candidates with entry-level industry experience. The large salary range reported by employers for a data scientist from more than RM 15,000 per month to less than RM 5,000 per month may reflect a lack of precision in defining the role of a data scientist. While compensation will differ by candidate experience and performance, it is important that this role is not undervalued. Data science competencies such as statistical modelling and machine learning require a high education investment which should be recognised.
What are the Requirements for Data Scientists and Data Analysts in Malaysia?
Requirements for data science and analytics jobs are often multidisciplinary and they all require an ability to link analytics to creating value for the organization. The analytics and technology skills vary widely, but candidates must also demonstrate skills related to problem-solving in the workplace, including soft skills such as communication, creativity and teamwork. This holistic skill set is rare, so you should expect to compete fiercely for T-shaped individuals, as they are now often called, meaning those with a principle competency, plus well-honed broad skills to help them cross functions or domains.
Grab Example of How Data Science is Important
Grab’s Wenceslao David joined the company as a data engineer in May 2015, after working as a database administrator for a couple of years. Wenceslao quickly moved up the ranks to become a data scientist in October 2016, and in May last year became a Data Science Lead in the company in Singapore. Along with a team of nearly 50 other data scientists from about 10 countries, Wenceslao is helping Grab develop machine learning algorithms and intelligent systems that can predict traffic, understand customer’s and driver’s preferences, and even contribute to Government initiatives aimed at managing and reducing traffic during peak hours. There’s no denying the fact that data scientists can truly catapult companies into the future. However, there’s not enough talent in the world to support every ambitious company in the market.
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Big Data Developer
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My Client
It is a global cryptocurrency exchange dedicated to providing secure, efficient, and innovative digital asset trading services. The platform offers a wide range of services, including spot trading, derivatives trading, and wealth management. They are looking for experienced and motivated Mobile app developer to join the dynamic team. The role involves working closely with other developers, designers, and product managers to create high-quality, user-friendly mobile apps that deliver exceptional user experiences.
Key Responsibilities:
- Develop scalable data processing architectures using Hadoop, Flink, and other Big Data tools.
- Implement and optimize data ingestion, transformation, and analysis pipelines.
- Design efficient data storage and retrieval mechanisms to support analytical needs.
- Work closely with business stakeholders to translate requirements into technical solutions.
- Ensure data quality, security, and compliance with industry standards.
- Identify and resolve performance bottlenecks in data processing systems.
- Keep up with advancements in Big Data technologies and recommend improvements.
Requirements:
- Degree in Computer Science, Information Technology, or a related field.
- 3+ years of hands-on experience in Big Data engineering.
- Proficiency in Hadoop, Flink, Kafka, and related frameworks.
- Experience with database modeling and large-scale data storage solutions.
- Strong understanding of data security best practices.
- Excellent analytical and troubleshooting skills.
- Effective communication and teamwork capabilities.
- A proactive mindset with a passion for data-driven innovation.
If it sounds like your next move, please don't hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.
About Us
Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.
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Business Registration Number: W. Licence Number: 18S9037
Big Data Engineer
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Position Details:
Company : U3 Infotech (Payroll)
Role : Big Data Engineer
Position : Contract
Duration : 12+ Months
Location : Singapore
Job Description:
We are seeking a highly skilled and motivated Lead Big Data Engineer to join our data team. The ideal candidate will play a key role in designing, developing, and maintaining scalable big data solutions while providing technical leadership. This role will also support strategic Data Governance initiatives, ensuring data integrity, privacy, and accessibility across the organization.
Key Responsibilities:
● Design, implement, and optimize robust data pipelines and ETL/ELT workflows using SQL and Python.
● Lead architecture discussions, including the creation and review of Entity Relationship Diagrams (ERDs) and overall system design.
● Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.
● Deploy and manage infrastructure using Terraform and other Infrastructure-as-Code (IaC) tools.
● Develop and maintain CI/CD pipelines for deploying data applications and services.
● Leverage strong experience in AWS services (e.g., S3, Glue, Lambda, RDS, Lake Formation) to support scalable and secure cloud-based data platforms.
● Handle both batch and real-time data processing effectively.
● Apply best practices in data modeling and support data privacy and data protection initiatives.
● Implement and manage data encryption and hashing techniques to secure sensitive information.
● Ensure adherence to software engineering best practices including version control, automated testing, and deployment standards.
● Lead performance tuning and troubleshooting for data applications and platforms.
Required Skills & Experience:
● Strong proficiency in SQL for data modeling, querying, and transformation.
● Advanced Python development skills with an emphasis on data engineering use cases.
● Hands-on experience with Terraform for cloud infrastructure provisioning.
● Proficiency with CI/CD tools, particularly GitHub Actions.
● Deep expertise in AWS cloud architecture and services.
● Demonstrated ability to create and evaluate ERDs and contribute to architectural decisions.
● Strong communication and leadership skills with experience mentoring engineering teams.
Preferred Qualifications:
● Experience with big data technologies such as Apache Spark, Hive, or Kafka.
● Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
● Solid understanding of data governance, data quality, and security frameworks.
About the Company
U3 Infotech is a Technology Solutions, Managed Services, and Talent Management Solutions company with over 2 decades of experience in the APAC region since 2002. Our clients include Fortune 100, MNCs, Leading Regional Organisations, Government organizations, and Startups. We work with clients across Banking, Insurance, Bio-Science, Pharmaceutical, Healthcare, Engineering, Product, and Supply Chain domains.
We have been growing rapidly through value creation, solving complex problems, and addressing the opportunities of our clients' businesses. We differentiate ourselves through our deep commitment at all levels, entrepreneurial mindset, outcome-driven approach, and financial resources.
Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
Cheers Stay Safe & Healthy.
Thanks and Regards,
Raghunath
Senior Recruitment Consultant
Talent Acquisition Team
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Email:
133 Cecil Street, Keck Seng Tower, #14-3,
Singapore
Singapore | Australia | Malaysia | Thailand
Vietnam | India | Philippines| Hong Kong
Job Types: Full-time, Contract
Contract length: 12 months
Pay: $10, $11,000.00 per month
Benefits:
- Health insurance
Work Location: In person
Big Data Engineer
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Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa. About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.
We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.
- Design and implement a reasonable offline data architecture for large-scale recommendation systems
- Design and implement flexible, scalable, stable and high-performance storage and computing systems
- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
- Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
- Visualise, interpret, and report data findings and may create dynamic data reports as well
Qualifications
Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience
- Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
- Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
- Effective communication skills and a sense of ownership and drive
- Experience of Peta Byte level data processing is a plus
Big Data Analyst
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Job Responsibility:
- Work with data science team to complete game data analysis, including data logic combing, basic data processing, analysis and corresponding development work.
- Complete basic data analysis, machine learning analysis, and build the required data processing flow, data report visualization.
- Develop data processing pipelines for data modelling, analysis, and reporting from large and complex transaction datasets
- Ability to assist in supporting engineering development, data construction and maintenance when required.
Requirements:
- Degree in Computer Science or related technical field
- At least 2 years of experience in data analysis/data warehouse/mart development and BI reporting.
- At least 2 years of experience in ETL processing data.
- Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning, experience deploying models in production and adjusting model thresholds to improve performance is a plus.
- Familiarity with data visualization tools, such as Google Analytics or Tableau.
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Big Data Engineer
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We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.
SKILLS SET AND TRACK RECORD
- Good understanding and completion of projects using waterfall/Agile methodology.
- Analytical, conceptualisation and problem-solving skills.
- Good understanding of analytics and data warehouse implementations
- Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica
- Strong SQL and data analysis skills. Hands-on experience in data virtualisation tools like Denodo will be an added advantage
- Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is preferred
- Track record in implementing systems using Cloudera Data Platform will be an added advantage.
- Motivated and self-driven, with ability to learn new concepts and tools in a short period of time
- Passion for automation, standardization, and best practices
- Good presentation skills are preferred
The developer is responsible to:
- Analyse the Client data needs and document the requirements.
- Refine data collection/consumption by migrating data collection to more efficient channels
- Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
- Develop test plan and scripts for system testing, support user acceptance testing.
- Work with the Client technical teams to ensure smooth deployment and adoption of new solution.
- Ensure the smooth operations and service level of IT solutions.
- Support production issues
Big Data Innovator
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We are a data-driven organization that aims to inspire creativity and bring joy to our users. Our mission is to help people authentically express themselves, discover and connect with others.
We have a global presence with offices in various locations around the world. Our teams are diverse and inclusive, making us a great place to work for those who share our values.
Job Highlights
- Flat organizational structure
- Career growth opportunities
- Positive team atmosphere
As a Big Data Engineer, you will be working closely with cross-functional teams to understand data requirements and deliver data solutions that meet business needs. You will be responsible for designing, building and optimizing scalable data pipelines, ensuring data integrity and accuracy.
Responsibilities
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Big Data Engineer
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About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok 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. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Positive team atmosphere, Flat organization, Industry experts
Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.
About the team
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.
Responsibilities
- Design and implement a reasonable offline data architecture for large-scale recommendation systems
- Design and implement flexible, scalable, stable and high-performance storage and computing systems
- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
- Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
- Visualise, interpret, and report data findings and may create dynamic data reports as well
Qualifications
Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with at 3+ years of experience
- Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
- Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
- Effective communication skills and a sense of ownership and drive
- Experience of Peta Byte level data processing is a plus
Big Data Specialist
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As a data processing specialist, you will be responsible for developing and maintaining large-scale data processing systems using SQL and Hadoop technologies.
Your key responsibilities will include:
- Designing and implementing efficient data processing workflows using SQL and Hadoop
- Developing and deploying scalable data pipelines using big data technologies
- Collaborating with cross-functional teams to integrate data solutions into business applications
- Analyzing complex technical issues and providing creative solutions
To succeed in this role, you will need:
- 3-5 years of software development experience
- Good experience in SQL development
- Knowledge in Spark and Hadoop
- Excellent problem-solving and analytical skills
Having banking knowledge is an added advantage.
This position offers opportunities for growth and professional development in a dynamic environment. If you are passionate about working with big data and SQL technologies, we encourage you to apply.
Big Data Strategist
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Job Overview
We are seeking a seasoned Technical Architect to drive the design and implementation of our big data platform.