2,108 Data jobs in Singapore

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 /

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.

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

(Project Leadership)

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

(Data Architecture)

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 10 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Type:
Internship (with fast-track to full-time if you crush it)
At FlocCare, we’re building a GenAI platform that makes health information accessible and personal —for a billion lives. To power that, we need structured, contextual, vectorized data. This role isfor someone who loves data, thinks in embeddings, and knows how to ship fast with modern tools.
What You’ll Do
Source, structure, and format messy data
from web, APIs, PDFs, or raw text.
Vectorize text
using transformer models (e.g. BERT, Sentence Transformers).
Work with
embedding stores
and retrieval tools like Pinecone or FAISS.
Test, evaluate, and fine-tune
existing models (LLMs, classifiers, RAG pipelines).
Set up quick workflows using
no-code/low-code AI builders
like
Flowise, Appify,LangChaintemplates,
etc.
Write clean, reusable scripts for data cleaning, chunking, tagging, and ingestion.
Create solid
documentation
of workflows, datasets, and model outputs.
Are a
CS, Data Science, or AI/ML
student or recent grad with real projects under yourbelt.
Have experience with
Python, Pandas, NumPy, Hugging Face, and scikit-learn .
Understand
NLP basics , embeddings, and data pipelines.
Are
comfortable figuring things out on your own
and pushing to production fast.
Are
curious about new tools
(Appify, Flowise, LangChain, RAG frameworks) and learn fast.
Have ranked or won in
hackathons, ML challenges, Kaggle, or buildathons .
Have worked with
retrieval-augmented generation (RAG)
or LLMOps stacks.
Know how to deploy a quick demo or MVP without overengineering.
Can build scrappy first versions fast — and iterate from user feedback.
Work on
high-impact GenAI systems
in real healthcare environments.
Collaborate across borders: SG, UAE, US, and India.
Build portfolio-worthy projects that go
beyond notebooks .
Internship → full-time fast-track
based on execution and ownership.
Send us your resume, GitHub/portfolio, and a short note on what you’ve built or shipped recently
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1. Data Engineering & Pipeline Development
Develop and maintain data pipelines across the medallion lifecycle:
Bronze : raw data ingestion
Silver : cleaned/transformed data
Gold : consumption‐ready data for analytics/BI
Build scalable, reliable, and secure pipelines using
Spark ,
Databricks , or similar frameworks.
Implement
DataOps
practices, Infrastructure‐as‐Code, and observability solutions to ensure smooth data operations.
2. Data Modeling & Architecture
Develop data models using best practices such as
Data Vault 2.0 ,
Kimball , etc.
Co‐develop master and reference data tables, ensuring alignment with enterprise data governance standards.
Support mapping of the Data Estate, covering multiple functions like HR, Finance, Product, Infrastructure, etc.
3. Data Governance & Quality
Implement and enforce data governance policies, including access control and security for sensitive data.
Co‐develop data quality pipelines to monitor and remediate issues in collaboration with domain data owners and stewards.
Publish curated data assets on the data catalog for organizational use.
4. Platform Reliability & Security
Ensure the reliability and security of the Data Platform to minimize downtime for critical data products.
Serve as a subject‐matter expert (SME) on the platform stack: Databricks, Tableau, MicroStrategy, and similar technologies.
Conduct feasibility assessments, POCs, and production rollouts of industry‐leading tools (e.g., dbt, Neo4j, Fivetran, Apache Atlas).
5. Advisory & Collaboration
Provide expert guidance on building, maintaining, and optimizing data pipelines.
Develop domain‐specific expertise in various functions and support cross‐functional data initiatives.
Collaborate closely with the data governance team, analytics teams, and business stakeholders to drive adoption of best practices.
Must‐Have Skills / Experience
Data Engineering & Pipelines
Experience with
Spark
and
Databricks
for building and maintaining data pipelines.
Knowledge of medallion architecture (Bronze → Silver → Gold).
Hands‐on with ETL/ELT processes and
DataOps
practices.
Data Modeling & Architecture
Experience with
Data Vault 2.0 ,
Kimball , or other data modeling frameworks.
Ability to design and maintain master and reference data tables.
Data Governance & Quality
Familiarity with data governance policies, access control, and security best practices.
Experience building or supporting data quality pipelines.
Ability to publish curated datasets to a data catalog.
Platform & Tool Expertise
Experience with BI tools: Tableau, MicroStrategy.
Knowledge of data management or orchestration tools: dbt, Apache Atlas, Fivetran.
Soft Skills & Collaboration
Able to advise and mentor colleagues on data pipeline best practices.
Strong communication skills and ability to collaborate across multiple teams and business domains.
Nice‐to‐Have / Bonus Skills
Exposure to Infrastructure‐as‐Code, monitoring, and observability for data platforms.
Experience in public sector data initiatives.
Domain expertise in HR, Finance, Product, or Infrastructure datasets.
Conducting feasibility assessments, POCs, or production rollouts for enterprise‐grade data tools.
Knowledge of security and reliability best practices for critical data products.
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This position focuses on designing, building, and maintaining batch and real-time data pipelines.

Responsibilities include:

• Enhancing and maintaining existing data ingestion, transformation, and extraction pipelines.
• Collaborating with product owners to gather detailed requirements.
• Building new and optimized data pipelines to meet end-user requirements.
• Ensuring data pipelines meet non-functional requirements such as security and scalability.
• Performing data profiling, analysis, and transformation.
• Coordinating with other teams for planning, design, and release management.

This position focuses on designing, building, and maintaining batch and real-time data pipelines.

Responsibilities include:

• Enhancing and maintaining existing data ingestion, transformation, and extraction pipelines.
• Collaborating with product owners to gather detailed requirements.
• Building new and optimized data pipelines to meet end-user requirements.
• Ensuring data pipelines meet non-functional requirements such as security and scalability.
• Performing data profiling, analysis, and transformation.
• Coordinating with other teams for planning, design, and release management.

Job Scope:

· Support in the reconciliation of data across multiple datasets from GPs and appointed laboratories for claims and payments.

· Monitor vendors’ performance and ensure timely submission of data is uploaded to client's screening system.

· Managing event operations, including handling vendors / volunteers on-ground, speaking to the public and supporting them to troubleshoot issues, etc. Please note that for event operations, some after-office hour or weekend duties would be expected.

· Other Division’s administrative duties as assigned to the individual.

Working Arrangement:

Duration: 01/10/2025 to 31/03/2026

Location: Outram Park/Islandwide (depending on activation)

Working Hours:

8.30AM – 6.00PM (Mon – Thurs)

8.30AM – 5.30PM (Fri)

*may require to work on weekends/over time on certain week days

Salary: $17-19/H

Requirements:

· Comfortable in speaking with people in public / handling event operations.

· Familiarity with handling of numbers and datasets using Microsoft Excel for reporting and reconciliation purposes.

· Ability to multi-task with an eye for details.

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R

Overview
At Corgan we are passionate about great design but the best thing we build is each other. Here, you’ll find camaraderie and collaboration as abundantly as curiosity and creativity. Corgan is a welcoming and supportive environment that provides significant career advantages. You’ll find room to grow, freedom to explore — and the safety to fail. Thank you for your interest in joining our curious, passionate, hardworking team.
Corgan is actively recruiting a dynamic Project Specialist (Architecture Graduate with 2+ years experience) to join the firm as part of our Data Center market sector.Tackle these responsibilities alongside a team of creative, highly motivated individuals who are passionate about their work and ready to collaborate to achieve outstanding results. Our ideal team member is passionate and progressively seeking more responsibilities to expand their expertise.
Responsibilities
Assisting on full life cycle projects
Generating creative design solutions within the functional parameters of a project
Translating concepts and information into images
Be an integral team member in the production of concept,schematic and construction drawings
Participating in the process of exploring and completing usable construction document detailing solutions
Assisting with contract administration responsibilities
Coordinating with a variety of consultants
Qualifications
BOA accredited degree in Architecture is required
Pursuing architectural registration
2+ years experience; Data Center project experience or desire to pursue a career in Data Center project design preferred
Revit proficiency strongly preferred. Experience with other 3D software is a plus.
Proficient in presentation and documentation software, such as Microsoft Suite and Affinity Design Suite
Exhibit strong organizational, design, detailing, teamwork and communication skills
Ability to collaborate in a diverse project team
Strengths in conceptual design, technical excellence, and communication skills are also desired
Strong attention to detail and analytical skills
Flexible attitude and ability to juggle multiple priorities is essential
Corgan creates opportunities for personal and professional growth that bring out the best in ourselves and those around us by sharpening skills, leveraging technology, and encouraging communication. Our commitment to the highest standards of professional ethics is unwavering. Our passion, drive for excellence, and abiding curiosity guide us each day in our interaction with our clients, partners, associates, and with each other. Corgan promotes a healthy work-life balance by removing obstacles and allowing you to focus on what you love doing, both inside and outside the office.
Join Corgan and help make amazing places at a place that makes you amazing!
*Only applications received through our website will be considered. For design positions, please also be sure to upload your portfolio or review of your application will be delayed.
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