Prefer to be working in a FUN, YOUNG and DYNAMIC team?

Looking to expand your network and improve your interpersonal skills ?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging social media platforms , roadshows, events, seminars, and campaigns. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

- Tested and proven suite of solutions/strategies for you to empower your clients

- Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !

- Personalised 1-on-1 Coaching and Mentorship

- Joint support system with Mentors/Seniors

- Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)

- Clear Career Advancement Pathways (Professional or Leadership Route)

- Travel Opportunities (3-4 times a year)

WHAT WE WANT FROM YOU :

- No Prior Experience Required

- Eagerness to Learn and Grow

- Strong Communication Skills

- Team Player Mentality

Job Description :

• Conduct hiring process which includes sourcing, screening, and interviewing potential candidates
• Plan and prepare recruitment report for reporting manager
• Assist with the onboarding of potential candidates
• Facilitating team bonding activities
• Representing the company and promote the products and services

What we offer :

• Positive work culture and environment with a young and dynamic team
• Monthly team bonding events
• Work hard, Play harder
• Opportunity to network and improve your interpersonal skills
• Learn how to better understand others
• Purpose driven career & Career Satisfaction

Benefits :

• Flexible schedule
• Promotion to permanent employee
• Opportunity to cross train to other company departments

We are partnered with an established oragnisation in search of a Data Center Engineer.

12 Hours Rotating Shift

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required).
• CAT 1 Security Clearance
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Which entity will this job posting be for?

Velox Pay Singapore PTE LTD

What is the job title for this job?

Senior Data Scientist

Occupation for the job (refer to this link)

Data Scientist

Job Function (Max 5)

Data Scientist, AI Engineer, Machine Learning

Position Level

Senior (L3)

Minimum years of experience

3 Years of experience

Employment type

Permanent

Minimum Qualification level

Bachelor Degree

Field of Study

Computer Science

Min Monthly Salary Range (SGD)

Max Monthly Salary Range (SGD) – Max Salary cannot exceed two times of the min salary

Job Description

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Job Requirements

• 3+ years of experience in deep learning, particularly with (prio 1)computer vision, voice, and text processing.
• Proficient in data preprocessing, model training, evaluation, and optimisation.
• Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. (NLP, chat GPT)
• Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN.
• Experience with cloud platforms like GCP or AWS, and working knowledge of Android/iOS is a plus.
• Strong communication skills to understand business needs and effectively convey analytical solutions.
• Ability to write clear and concise technical documentation.
• A Master’s or PhD in Computer Science, Data Science, AI, or a related field.

• Empowered to make impactful decisions
• Engage with complex challenges to enhance business optimization
• Experience with cloud platform like GCP

about the company
My client is a leading Southeast Asian technology company founded in 2010. They are seeking a Senior Data Scientist to drive impactful decision-making at scale and to influence multiple business lines.

about the job

• Collaborate with multiple product teams to understand their unique challenges and objectives in building ranking and recommendation systems.
• Translate business goals and customer needs into actionable technical requirements and machine learning services.
• Design, develop, and maintain data-driven models and systems to support our business objectives.
• Lead and oversee data science projects from start to finish, ensuring alignment with objectives and timely delivery.

skills and experience required
7+ years of experience in data science or a related field. Knowledge of recommendation algorithms and familiar with ranking algorithms and performance metrics.

Hands-on experience with Python and machine learning/statistics libraries like scikit-learn, LightGBM, and XGBoost.

Experience with cloud platforms (GCP preferred) and containerization technologies.

whats on offer
The permanent role for Senior Data Scientist will pay a salary range of $ 150k / year plus perks from the company. This is an opportunity for join a market leader that has grown year on year.

To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)

https://www.linkedin.com/in/Oliviatoh-032330132/.

Job Duties

• Able to plan and make necessary arrangements for specific jobs given
• To conduct quality checks on work done by workers
• To oversee daily operations at site
• Ensuring that all workers comply with all safety measures required
• Liaise with main contractor and coordinator with regards to all matter pertaining to the project
• Responsible for the upkeep of documentation on project matters
• Submission of daily reports to coordinator and as built drawings upon completion

Job Requirements

• With at least 5 years of relevant site supervision experience especially with RC works, Dwall, canal and road diversions
• Possess required BCSS/Work at Height Assessor / Supervisor certifications
• Lifting Supervisor certificate an advantage
• Registered Earthwork Supervisor certificate an advantage
• Supervise Confined Space Work certificate an advantage
• Have initiative and responsible at work
• Conversant with key plans/technical drawings

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

Data Framework Engineer

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)

- Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems

- Independently install, customise and integrate software packages and programs

- Carry out POCs involving new data technologies

- Design and develop application frameworks for data integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Technical skillsets

TEAM Architecture (Big Data)

- 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

- Expertise in building applications using Java, Scala, Python, Shell scripting

- Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

- Knowledge of frameworks such as Spring, Struts, Hibernate etc

- Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

- Knowledge of related technologies such as HTML, Javascript, CSS, React, Jquery, node.js, docker

- Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

- Expertise in integrating applications with Devops tools

- Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus

At least, 2 to 3 technical certifications in any of the below technologies:

1. Language – SQL, Java, Python, Scala, Javascript, node.js

2. Automation / scripting – CtrlM, Shell Scripting, Groovy

3. Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

10. Platforms provided by FICO, Experian, SAS for credit and portfolio management

EDUCATION

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

• Position: Sales Interior Designer
• Bendemeer
• WFH basis, Report to office once a week
• Basic $1500 + commission, Gross up to $4000 - $7000

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Requirements:

• Diploma in Interior Design
• Minimum 1 years of experience as a Sales Interior Designer
• Entry level are welcomed
• Strong understanding of design principles, space planning, and 3D visualisation software
• Familiar with software – Autocad / 3D Max / Sketch Up / Microsoft Office

Job scope:

• Provide expert interior design consultations and presentations to prospective clients
• Collaborate with clients to understand their design requirements and translate them into innovative and functional interior solutions
• Develop detailed design concepts, mood boards, and 3D visualisations to bring clients' visions to life
• Manage the end-to-end project lifecycle, from initial client meetings to final installations
• Work closely with the project management team to ensure timely and successful project delivery
• Attend site visits and liaise with contractors to oversee the implementation of design plans
• Stay up-to-date with the latest interior design trends, materials, and industry best practices

We are looking for contract role in the Client Data Chapter, as a Data Modeler, who will work closely with our data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models.

As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you.

Join our team as a Data Modeler and play a key role in designing and implementing data models that support our organization's data-driven initiatives. You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining their documentation and metadata. Your expertise in data modelling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

You will support the Client Data Owners and the Client Data Steward in the following:

MAIN DUTIES:

• Develop and maintain complex data models for business data analysis and reporting purposes.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data model for the new Client Lifecycle Management System that align with business needs.
• Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
• Ensure appropriate and confidential handling/sharing of sensitive client data
• Identify red flags and escalate in line with policy and procedures
• Ensure timely follow-up and/or escalation to stakeholders
• Responsible for completing delegated and ad-hoc tasks within the established timeframes.

Requirements

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• Strong understanding of SQL and data modelling concepts
• Proficiency in data modelling tools such as Erwin or PowerDesigner.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Familiarity with data warehousing and ETL processes
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyse data requirements.
• Experience in performance tuning and optimization of database queries.
• Strong analytical and problem-solving skills
• Clear communicator, with the ability to articulate ideas with data.
• Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
• Experience with operating in a corporate environment and stakeholder management.
• Prior exposure to wealth management, asset management or portfolio management is a plus.
• Strong results driven personality with an innovative spirit.

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600-$2800+OT+allowances>$3K

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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 the shortlisted candidates will be notified.

Email Address: [email protected]

• Site Supervisor (ERP Gantry) - 2 years contract renewable
• 5 days, permanent night shift; 8.30pm- 6am from Mon to Sat with off day on weekdays
• Salary: Basic $2500 + $50 HP allowance + Shift allowance $300 +/-
• Location: Bedok office

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job scope:

• Maintenance and replacement of ERP equipment (about 18kg to 35kg)
• Terminate electrical cables at ERP gantry
• Troubleshooting and rectifying equipment fault
• Communicate with contractors on safety and job related tasks.
• Submit reports upon job completion
• Full Training provided

Requirements:

• Min qualification Nitec or Higher NITEC in Mechatronics, Electrical or Electronics
• Relevant knowledge and experience on electrical and electronics
• Possess Class 3 Driving License
• Willing to work at height (6 meters) on outdoor public road on ERP gantries and can climb onto gantry to check, clean, repair or replace faulty equipment, etc.
• Able to work permanent night shifts, 5 days a week from 20:30 to 06:00, from Mon to Sat with off day on weekdays

An AI future is fueled by trusted, grounded data - which is why Data Cloud is the fastest growing organic product in Salesforce history.

To help our customers realise their AI potential, and drive their Salesforce Customer 360 to all new heights, we are looking for exceptional individuals to join our team as Data Cloud Account Executives.

This is a specialist, co-prime role, supporting a customers primary account sales team - so the ability to work as a support to the primary Account Executive to drive a wholistic customer driven solution is key.

You will have proven experience is simplifying the complicated - translating complex technical concepts into value and use cases.

You will have a deep, thorough understanding of the data landscape - including leading CDPs and Datalakes.

Collaborating with potential clients, you will dive deep into understanding their needs and challenges, showcasing how Data Cloud can solve their most critical business goals.

What you’ll be doing:

• Employ your wealth of experience in enterprise and commercial B2B sales to identify and engage potential Data Cloud clients.
• Leverage your comprehensive knowledge of the Salesforce platform, Data Cloud, and Agentforce to craft highly tailored solutions that resonate with clients.
• Demonstrate your adeptness at leading comprehensive discovery conversations, unearthing prospective customers’ critical business needs and determining if and how Data Cloud can help them.
• Craft and present compelling Points of View (PoVs) that underscore the tangible business value of Data Cloud.
• Collaborate across cross-functional teams to show up as “One Salesforce” and ensure a seamless client experience throughout the entire sales process
• Highlight how our solutions align seamlessly with clients' long-term strategic objectives
• Utilize your unique ability to combine deep discovery with your own PoV to present compelling Data Cloud use cases that resonate with technical and business buyers

What you should have:

• Significant experience in enterprise and commercial B2B sales within the context of highly technical sales.
• Expertise in modern cloud data platforms (e.g., Snowflake, Databricks, Big Query), acquired through considerable technology sales experience.
• An understanding of the Salesforce Advantage across Sales Cloud, Marketing Cloud, Service Cloud to relate Data Cloud requirements in the context of Customer needs.
• A heightened business acumen, adept at steering impactful discovery conversations to uncover the most intricate client needs.
• A proven track record of consistently surpassing sales targets within a technical sales environment, underscoring your mastery of intricate sales processes.
• Exceptional communication and negotiation skills honed through your experience in technology sales.

Skill Set/Technologies:
Salesforce platform (Sales, Service, Marketing Clouds), technical sales, negotiation techniques, Cloud Data Warehouse technologies, Salesforce Data Cloud.


Characteristics:

• A results-driven attitude: Proven ability to exceed sales goals within the context of complex sales.
• Demonstrate ability to prioritize working in a cross-functional environment
• Business-focused outlook: Skillfully translates technical solutions into palpable business value
• A talent for relationship-building: Establishes enduring client connections, rooted in your advanced sales expertise.
• A knack for problem-solving: Devises innovative solutions to address complex client challenges, using your extensive technology sales experience.
• Scrappy: Agile, roll-up-your-sleeves attitude. Progress over perfection.

Working at Salesforce
Working at Salesforce isn’t all about selling. It’s also about learning, and we heavily invest in you with a month-long immersion and onboarding, including: a week-long product bootcamp, mentorship program, weekly coaching and development programs.

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior/ Data & Machine Learning Engineer is a hybrid role focusing on developing our modern Lakehouse including pipeline development, and the deployment of machine learning models.

This position combines the responsibilities of a Data Engineer and Machine Learning Engineer, ensuring robust data pipelines and scalable deployment of ML models.

The role involves building data ingestion and transformation processes, deploying machine learning models, and working with DevOps and CI/CD for automated deployments and monitoring.

Collaborating with Business Analysts to ensure business requirements are translated into data solutions.

Working with Data Analysts to deliver accurate and reliable datasets that power impactful analytics and dashboards.

Partnering with other Data Engineers and Analytics teams (e.g., Quantitative Research team) to support advanced analytics and provide datasets for reporting and insights.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and translate this into technical analytical solutions.

Responsibilities

• Design and maintain data pipelines: Design, build, automate, and optimize ETL/ELT pipelines to support data flow, transformation, and availability across the Lakehouse platform.

• Collaborate on data storage and solutions: Partner with analysts to create scalable storage solutions, optimizing data structures for both analytics and ML applications.

• Implement data quality and governance standards: Establish monitoring and enforce data quality checks, ensuring data consistency, reliability, and compliance.

• Optimize and maintain model performance: Continuously monitor deployed models for performance, retraining or adjusting them as needed to ensure sustained accuracy.

• Deploy and monitor machine learning models: Design and implement CI/CD pipelines for model deployment, ensuring efficient and reliable delivery of ML models.

• Mentor junior team members: Guide and foster the professional development of junior data engineers, enabling their contribution to the team and ownership of project deliveries.

Expertise:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.

• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.

• Data Pipeline Development Skills: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.

• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.

• Python & Model Deployment Proficiency: Expertise in Python for deploying models and developing APIs for serving predictions.

• Spark & Azure Databricks: Skilled in using Spark on Databricks for processing large-scale datasets and supporting machine learning workflows.

Knowledge of:

• CI/CD Pipeline Creation (incl. for ML Models): Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines and machine learning models using GitHub and GitHub Actions with Databricks.

• Monitoring & Model Maintenance: Ability to set up monitoring tools for models, track metrics (accuracy, latency), and maintain model performance.

• IaC for Infrastructure Automation: Experience in automating cloud infrastructure management for consistent deployment and scaling using Infrastructure as Code tools like Terraform.

• Power BI Integration: Basic understanding of Power BI for creating visualizations of model performance and metrics for stakeholders.

• Agile Methodologies in Data Engineering: Understanding of agile frameworks to work within iterative sprints and collaborate with cross-functional teams

Experience:

• At least 3 Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.

• 1 Year in Machine Learning Engineering: Track record in managing the lifecycle of machine learning models, including deployment, monitoring, and retraining.

• Business & Data Transformation: Experience working in supporting business transformation and process improvement into Data-Driven organizations and systems.

• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

A global electrical solutions MNC is looking for a Data Center Sales Director (Vendor) in Singapore. The incumbent will be leading a sales team across SEA and spearheading the hyperscaler and colo data center market.

Responsibilities:

• Develop and implement sales strategy to achieve sales revenue targets in SEA region
• Identify new market opportunities and oversee sales channels in the data center market in SEA
• Build and maintain strong relationships with key decision-makers and stakeholders in target accounts.
• Lead, mentor, and motivate a high-performing sales team to achieve individual and team goals.
• Provide accurate sales forecasts and reports to senior management.
• Lead contract negotiations and close high-value deals with hyperscale and colo data center clients.
• Work closely with cross-functional teams, including marketing, product management, and customer support, to ensure customer satisfaction and successful project delivery.

Requirements:

• Bachelor's Degree in Business, Engineering or any related disciplines. MBA is a plus.
• 10+ years of data center sales experience to hyperscaler and colo data centers in SEA
• Proven track record in regional sales and leading a team
• Experienced and good understanding as a Vendor for Data Center market
• Willingness to travel regionally across the SEA region.

If you are interested, please apply with your latest CV detailing your sales achievements in the data center space. Only shortlisted candidates will be contacted.