TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

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 Summary:

This is a regional role for APAC DCS Planning and Service management, this role requires a highly skilled and experienced Active Directory Solutions Architect with a proven track record of designing, implementing, and migrating complex Active Directory environments. The ideal candidate will possess deep expertise in hybrid Active Directory & Microsoft Entra identity architecture, best practices, and cloud migration strategies, with a focus on standardizing and optimizing regional or global hybrid identity deployments.

Job Responsibilities:

Active Directory Architecture & Design:

• Lead the design and architecture of new and existing Active Directory environments, ensuring alignment with business requirements, security best practices, and industry standards.
• Develop and document detailed architectural diagrams, design specifications, and implementation plans.
• Analyze existing hybrid identity environments, identify areas for improvement, and recommend solutions to optimize performance, security, and manageability.
• Define and implement standardized Active Directory configurations across region or global.

Migration Planning & Execution:

• Lead the planning and execution of complex Active Directory migrations, including on-premises to hybrid cloud migrations (Microsoft Entra ID).
• Develop and implement migration strategies, including phased approaches, data migration, and user provisioning.
• Oversee the migration process, ensuring minimal disruption to business operations.
• Troubleshoot and resolve Microsoft Windows Server migration-related issues.

Cloud Integration:

• Design and implement hybrid Active Directory environments that integrate on-premises and cloud-based directory services.
• Leverage cloud-based identity and access management solutions to enhance security and improve operational efficiency.
• Explore and evaluate new cloud-based technologies and their potential impact on Active Directory.

Technical Leadership & Collaboration:

• Provide technical guidance and mentorship to junior engineers and other IT teams.
• Collaborate with cross-functional teams (Network, EUC, Security, Application) to ensure successful implementation of Active Directory solutions.
• Stay abreast of the latest industry trends and technologies related to Active Directory, cloud computing, and identity and access management.

Qualifications:

• Degree in Information Technology, or a related field.
• Minimum of 8-10 years of experience in IT service management or in Tech Risk with a focus on governance and control within an IT enterprise environment
• In-depth knowledge of hybrid Active Directory architecture, design, and implementation best practices with a strong understanding of advanced Active Directory features (e.g., Trusts, Sites & Services, Replication, Group Policy).
• Experience with complex Active Directory environments with multiple domains, forests, and trusts.
• Strong analytical, problem-solving skills & ability to translate business requirements into technical solutions.
• Experience with architectural frameworks and methodologies.
• Excellent documentation and communication skills.
• Experience with Identity and Access Management (IAM) solutions (e.g., Microsoft Entra ID Premium)

Job Description

· Build data pipelines (ETL) to enable scalable processing of large volumes of data in AWS environment (Informatica, Pentaho)

· Organise, build and maintain data stores (e.g., RedShift, RDS) of structured and unstructured data (e.g., text, customer transactional data, work-flow/ticket/log data)

· Co-evaluate business needs and objectives

· Identify opportunities for data acquisition

· Conduct data analysis, working independently or with data analysts, and report on results

· Analyze and organize raw data

· Interpret trends and patterns

· Prepare data for prescriptive and predictive modeling

· Combine raw information from different sources

· Explore ways to enhance data quality and reliability

· Work with stakeholders to identify and solve business needs related to advanced data processing



Job Requirements

· Minimally a Degree in Computer Science, IT, or similar field

· At least 1 year experience working with SQL or as a data engineer or in a similar role.

· Proven work experience with ETL tool such as Pentaho Data Integration (KETTLE), Informatica.

· Excellent SQL knowledge and with proven experience with Data Analysis, Data Profiling and Data Processing.

· Good knowledge of working with databases such as Oracle, PostgreSQL, RedShift.

· Experience working with Tableau or similar BI tools.

· Technical expertise with data models, data mining, and segmentation techniques

· Ability to integrate data /data streams from different sources

· Great numerical and analytical skills

· Detail-oriented, with excellent organizational skills and experience

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd
• RCB No. 200007268E • EA License No. 01C4394
• Reg. <R1548745> <Teoh Shiau Swang>

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an Information Security Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Handle post-sales activities of related products and solutions.
• Engage in the implementation of large-scale projects.
• Offer on-site services, including deployment, testing and preparation of documentation.
• Provide technical assistance to maintain high levels of customer satisfaction.
• Troubleshoot customer inquiries by leveraging existing knowledgebase resources and resolving known issues.
• Be available for standby support to manage 24/7 maintenance calls.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 2 years’ IT support experience.
• Certified CCNA or CCSA is a bonus.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description

• Industry/ Organization Type: Telecommunication Services (Data Center)
• Position Title: Facilities Maintenance Technician
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an Information Security Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Handle post-sales activities of related products and solutions.
• Engage in the implementation of large-scale projects.
• Offer on-site services, including deployment, testing and preparation of documentation.
• Provide technical assistance to maintain high levels of customer satisfaction.
• Troubleshoot customer inquiries by leveraging existing knowledgebase resources and resolving known issues.
• Be available for standby support to manage 24/7 maintenance calls.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 2 years’ IT support experience.
• Certified CCNA or CCSA is a bonus.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Seeking for Data Center Operator (1 year contract under employment agency payroll)

Work Location: Revenue House (IRAS) at Novena
Working Hours: 12 hours rotating shift, 7.30 am to 7.30 pm, 7.30pm to 7.30am (2 day, 2 off, 2 night shift pattern)

Full salary budget inclusive of Shift Allowances and PH Allowances: $2500 - $2900
Upon end of contract, incentive of performance bonus up to 1 month basic salary subject to reporting manager’s appraisal

Job Level: Entry / Junior

Requirement:

• Singaporean with Diploma in IT (must clear g50 and background check)
• Must be able to work 12hrs rotating shift hours (work 2 days, rest 2 days, work 2 nights)
• Keen in Data Center batch monitoring and execution jobscope
• Positive working attitude (willing to learn, punctual, etc)
• Can commit for full 1 year contract

Jobscope:

• Batch Job monitoring and execution
• Provide Operation support IRAS DC Operations & eTRS Operation on 24x7 (12hrs shift)
• Perform request fulfilment to register customer request etc Adhoc / Data Recovery SR) @ DC3 & eTRS
• Perform Weekly/Monthly refresh of the System (IPL)
• Prepare monthly DC Access report (RH / PDC / SDC)
• Execution and monitoring of Prod Batch Jobs / Safe envelopes Management
• Manage equipment movement in the Data Centre.
• Monitor the wellbeing of the Data Centre.
• Perform Incident escalation (Ensure incidents are responded and attended to, else redirect to Ops Mgr based on criticality, impact, and SLA).
• Coordinate with various stakeholders to fix the technical issues on time to provide timely support to customers. Work with Team Lead/Ops Mgr if required
• Provide Operation support during IRAS annual DR exercise

Overview / Brief

Louis Dreyfus Company is a world leader in the processing of agricultural products and the merchandising of a diverse range of commodities. Founded and based in Europe, Louis Dreyfus Company enjoys a strong regional presence in North and South America, Europe, Asia, the Middle East, and Africa.
Louis Dreyfus Company operates with the drive of a young organization, tempered and fueled by over more than 165 years of experience and expansion in the field of agricultural commodities. Today, with offices in more than 55 countries and approximately 18,000 employees, the Group stands strong, pragmatic, and diversified, guided by a multi-cultural management staff devoted to its aims and to its unique business model.

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

1. Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

2. Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

3. Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

4. Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

5. Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experience
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

In this role, you can expect to:

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across Our Client such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and our publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

You should be able to:

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

Responsibilities:

• Scanning physical documents to create high-quality digital copies.
• Labelling digital files using a standardized naming and filing system.
• Ensuring each digital file is accurately associated with the correct employee.
• Conducting quality assurance to verify the accuracy and readability of digital files.
• Assisting with secure disposal or shredding of physical documents, if required.

Requirements:

Temporary 2 months contract (Full commitment period required)

Min. Diploma holder

Proficient in Excel and Google Drive

• To assist in the consistent adaptation and adoption of AIC’s Information Management Policy across the organisation
• To assist in enabling related Data Management policies and executing relevant change initiatives
• Support the Data Protection Officer in handling of data sharing request in accordance with AIC Data Sharing Framework
• To assist in regular review initiatives to ensure continuous relevance and application of the AIC Data Sharing Framework to division’s processes
• To support the review of PDPA compliance related aspects throughout the organisation and its partners

Job Requirements:

• Degree in Information Science or Business Management with 3 -4 years' work experience
• Preferably 1 – 2 years of experience in handling information management, protection or/and data governance aspects
• Familiarity with Personal Data Protection (2012) and experienced in working within a Data Protection Office or similar would be beneficial
• Entry level candidates with relevant skillsets are welcome to apply. This includes background in process improvement methodologies and risk management practices, experience in analysing business processes and workflows to identify areas for improvement.
• Collaborate and/or guide stakeholders as part of cross-functional teams to identify and track areas for improvement
• Facilitation skills would be a plus
• Meticulous and conscientious
• Outgoing and works well in a team
• Good listener and quick to adapt

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

About the Team

TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..

- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.

- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.

- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.

- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

- Bachelor's degree with 3 years of related work experience.

- Expertise in SQL and programming in Python or R.

- Familiar with A/B testing

- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

- Experience of LIVE related business.

- Knowledge of machine learning and recommendation systems.

- Experience with big data technologies.

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.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Selected candidate will be engaged under a third-party agency payroll for the tenure of employment in SRC. 2-year contract (with possibility for contract renewal).

Key Responsibilities:

• Maintain and update database in Asset Management System and Excel.
• Organize and manage data for easy retrieval and analysis, ensuring data accuracy and integrity.
• Develop dashboards in Power BI to enhance asset management.
• Compile and attach reports from various sources.
• Provide general clerical support, including filing, copying, and scanning documents.
• Coordinate with other departments to gather necessary information.
• Handle correspondence and communication related to technical tasks.

• Diploma related to IT / Engineering is required.
• At least 1-2 years of experience in a clerical or administrative role.
• Strong proficiency in Microsoft Excel, including advanced functions and formulas.
• Basic knowledge of report generation and document management.
• Experience with data management and analytics is highly desirable.
• Previous experience in a technical or engineering environment is a plus.
• Power BI advanced user certification and experience handling "big data" is an advantage.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Job Description

• Industry/ Organization Type: Telecommunication Services (Data Center)
• Position Title: Facilities Maintenance Technician
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Role Type – Contract Based
Role Tenure – 6 month to One Year
Location – Singapore
Requirement – Singapore PR

Key Responsibilities:

1. Data Architecture Design:

- Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.

- Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

- Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.

- Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

- Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.

- Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

- Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.

- Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

- Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.

- Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

- Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.

- Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

- Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.

- Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

- Experience:

- 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.

- Proven experience with Azure cloud technologies for data storage, processing, and analytics.

- Technical Expertise:

- Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.

- Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.

- Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

- Domain Knowledge:

- Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.

- Familiarity with risk management frameworks and financial performance metrics.

- Soft Skills:

- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.

- Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.

- Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

- An opportunity to work on impactful data-driven projects in the structured finance sector.

- A collaborative and innovative environment focused on professional growth and cutting-edge solutions.

- Competitive compensation and benefits package.

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an Information Security Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Handle post-sales activities of related products and solutions.
• Engage in the implementation of large-scale projects.
• Offer on-site services, including deployment, testing and preparation of documentation.
• Provide technical assistance to maintain high levels of customer satisfaction.
• Troubleshoot customer inquiries by leveraging existing knowledgebase resources and resolving known issues.
• Be available for standby support to manage 24/7 maintenance calls.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 2 years’ IT support experience.
• Certified CCNA or CCSA is a bonus.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.

- Create flexible, scalable, stable, and high-performance storage systems and computing models.

- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems

- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Requirements

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong coding and troubleshooting skills; Proficient in programming languages like Java, C++, Scala, Python.

- Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.

- Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.

- Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

- Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.

- Experience in storage systems such as Hbase, Cassandra, RocksDB.

Preferred Qualifications

- Experience in handling PB-level data is a plus.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

• Liaise with HQ departments to develop operational strategies and plans, including systems support, in line with the strategic vision for Silver Generation Office
• Establish strong working relationships with Satellite Offices (SOs) and ensure smooth implementation of operating guidelines that enable SOs to plan, execute and calibrate their operations
• Manage timely data collection and analysis at the Cluster- and SO-level to report and track progress towards strategic goals and milestones, identify areas for improvement and develop forward plans
• Lead the identification and analysis of metrics needed to trend emerging needs of seniors, including the demands and preferences for active ageing programmes and care and support trends, to improve the existing operational model
• Synthesize insights from data and work closely with SOs to drive the translation of recommendations into business actions
• Lead the identification of competency gaps within the Cluster and work closely with Training team to address training needs
• Support project management of cluster projects, including the monitoring of progress, resource utilization, schedule, risks and issues, and coordinate and organise meetings as required
• Prepare written correspondences and presentations to brief and update management and provide administrative and resourcing support as required

Requirements

• A degree or equivalent in any field, from a recognised University
• Minimally 3-4 years of relevant working experience, preferably in similar capacity
• Able to grasp organizational strategies and plans and understand the objectives and impact to operations planning and execution
• Able to formulate guidelines and report templates for the implementation and monitoring of operational tasks by taking reference from HQ directives and planning norms
• Knowledge of how to create and apply various algorithms from database to analyse trends, sense make and identify gaps and areas that need improvement

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis . We encourage you to apply early.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, 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 data 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

- Apply 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 data reports as well

Qualifications

Minimum qualifications:

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.

- 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.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

Preferred Qualification:

- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

About Us:

At our core, we are a digital health startup with a bold vision: we believe in a future where healthcare is personalised, accessible, and affordable for everyone. Over the past four years, we’ve built a telehealth platform that has transformed healthcare in Singapore, Hong Kong, and Japan. But this is just the beginning.

We are looking for someone who shares our vision and is ready to join us on this journey towards reshaping healthcare in Asia. If you’re ready to do something truly impactful, this is the opportunity to create a legacy that will define the next generation of healthcare.

About the Role:

As a Data Engineer, you’ll take full ownership of our data infrastructure overhaul, focusing on creating a reliable, scalable, and efficient data ecosystem. You’ll address tracking issues, implement robust data governance, and ensure seamless data flows between our Customer Data Platform (Segment), BigQuery, and downstream tools.

This role requires a proactive, detail-oriented individual with strong technical skills and a collaborative mindset to work closely with Product, Growth, and Engineering teams.

Why Join Us?

This is more than a job—it’s a mission. While there may be trade-offs in compensation, what we offer is the chance to be part of something transformative. You’ll have ownership over impactful projects and the opportunity to work with a passionate team dedicated to changing lives through technology and innovation.

What You’ll Do:

• Review and resolve tracking inconsistencies, including issues with funnel analysis and data gaps.
• Audit the integration and configuration of Segment and BigQuery, ensuring accurate and complete data collection.
• Conduct a root cause analysis of past tracking issues and implement long-term solutions.
• Build, optimise, and document ETL pipelines to ensure accurate and reliable data flows.
• Enhance tracking schemas, event definitions, and data integration processes to support business needs.
• Collaborate with Product and Growth teams to create a unified tracking plan, ensuring alignment and consistency.
• Develop and enforce data governance standards, including naming conventions, event schemas, and processes for implementing tracking changes.
• Implement real-time monitoring and alerting systems to identify and resolve data anomalies proactively.
• Create robust processes for testing tracking updates in staging environments before production deployment.
• Provide training and documentation to key team members, enabling them to query and interpret data confidently.
• Evaluate and optimise existing tools like BigQuery and Segment for scalability and evolving business needs.
• Design solutions to accommodate new product features, platforms, and growth initiatives without disrupting existing data flows.

Who You Are:

• Strong expertise in data engineering, with a focus on BigQuery and Segment.
• Proficiency in SQL, data modelling, and ETL pipeline development.
• Knowledge of event tracking best practices, including debugging and optimisation for marketing funnels.
• Familiarity with data orchestration tools such as dbt or Apache Airflow.
• Strong understanding of data governance and quality assurance practices.

What We Offer:

• The chance to work on meaningful projects that have the potential to transform healthcare in Asia.
• A collaborative and innovative team culture where your contributions truly matter.
• Ownership over impactful projects and the freedom to explore cutting-edge technologies.

Why Join Us:

• Impact: Be part of something truly transformative—help lead the shift towards personalised healthcare in Asia.
• Ownership: Full responsibility over the engineering function and the freedom to shape technical direction.
• Equity: Share in the long-term success of the company.
• Flexibility: Work remotely, with occasional travel across Asia to collaborate with the team.
• Mission-Driven: Join a team that’s passionate, focused, and committed to making a real difference in healthcare.