Total 9,403 Full-time data entry job vacancies in Singapore

RESPONSIBILITIES

Design, implement, support and administer Market Data and Pre-Trade Middleware infrastructures to provide reliable and cost-effective middleware services for the bank in Asia Pacific region.
Ensure Market Data and Pre-Trade Middleware services being offered are in line with business requirement in conjunction with global standard and practice.
Follow, propose and implement the necessary technical evolutions to the Market Data and Pre-Trade Middleware infrastructures maintaining a stable production environment at optimal cost.
Capacity planning to ensure the various components in the IT infrastructure are capable to effectively support the business activities at optimal cost.
Interface with service providers, business functions and IT functions regarding middleware services and solutions.
Provide documentation for “Follow-the-Sun” support, as well as knowledge sharing across our team globally.

PROFILE REQUIRED

Holds a relevant bachelor's or master's degree in computer science, Engineering, Information System or similar
3-5 years' experience in the banking industry
Good knowledge of Market Data content and services (Reuters, Bloomberg)
Good knowledge of Market Data desktops solutions (EIKON, Bloomberg, FXT, EBS)
Sound knowledge of middleware content and services (Tibco RV)
Sound knowledge of monitoring platform (ITRS)
Sound network knowledge (routing, TCP/IP, UDP, multicast)
Sound technical knowledge on Unix/Linux
Knowledge of programming language would be a bonus (Python)
Able to work with a remote team, to drive local/regional projects and support, including China and India

Founded in 2019 in Singapore, the Recoded Studio is stimulated to develop unique games that embrace beauty and simplicity. We are dedicated to creating long-term value for not only our players, but also our fellow team members.

We achieve this by encouraging individuality and teamwork so that each team member can take ownership in their own expertise while collaborating as a group to pursue a shared ideal of constructing the befitting environment that brings out wonderful game experiences to our players.

Our studio is currently looking for a Game Data Analyst to join our multi-talented team and help us make data-driven decisions to improve our games. The role will be responsible for collecting, processing, analysing and interpreting game data to inform game design, business decisions, and customer insights. The Game Data Analyst will work closely with game developers, product managers, and other stakeholders to provide insights and recommendations that drive game improvements and business growth.

Responsibilities:

• Drive data-driven decision making by conducting in-depth analysis of game content, players’ behaviour, and monetization metrics.
• Collect and manage game data from various sources, including game logs, user surveys and analytics tools.
• Develop and implement dashboards to monitor game performance, identify trends, and optimise key performance indicators (KPIs).
• Assist in comprehensive player segmentation and behaviour analysis to support game design and tuning.
• Build and maintain data pipelines, data warehouses, and data visualisations to support data-driven decision making.
• Provide ad-hoc analysis and support to various departments, including marketing, customer service, and product development.
• Stay up-to-date with industry trends and best practices in game analytics, and make recommendations for new tools, technologies, and processes to improve data collection and analysis.

Qualifications:

• Familiarity with MMP is a must
• Bachelor's degree in a quantitative-related field such as Mathematics, Statistics, Economics, Computer Science etc.
• 2+ years of experience in game analytics or data analysis role, preferably in the gaming industry.
• Strong proficiency in SQL, data visualisation tools (such as Tableau or Power BI), and Excel.
• Experience with statistical analysis and machine learning techniques.
• Strong problem-solving and analytical skills, with attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to non-technical stakeholders.
• Passion for games and a deep understanding of game mechanics and player behaviour.

If you are a driven and analytical individual with a passion for games and a desire to make an impact in the gaming industry, we would love to hear from you!

How to apply?

Candidates can apply directly on the MyCareersFuture portal. Please include your updated resume.

Applications will be treated in the strictest confidence, where all personal data collected will be kept confidential and only used for recruitment purposes.

Thank you for your interest & time in applying to Recoded! We apologise that only shortlisted candidates will be contacted.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 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 | Angel Lim | EA Reg No.: R1769781

Jobs Responsibilities

• Lead the data cleansing exercise within the team.
• Strong data analysis skills with the ability to manipulate and interpret large datasets, perform statistical analysis, and identify patterns and trends.
• Guide/Troubleshoot reported data discrepancies, identify root cause to provide resolution to ensure that data is in order.
• Verify the accuracy and completeness of data by conducting validation checks and cross-referencing with reliable sources.
• Use various techniques and tools to clean and correct data, such as removing duplicate entries, standardizing formats, and updating outdated or incorrect information.
• Implement and maintain data integrity rules and standards to ensure data accuracy and consistency.
• Document data cleansing processes, procedures, and outcomes for future reference and auditing purposes.
• Adhere to data governance policies and procedures to ensure compliance with regulations and maintain data privacy and security.
• Identify opportunities for process improvement and automation to enhance data quality and efficiency.
• Generate reports or summaries on data quality metrics, issues, and progress to stakeholders or management as required.

Job Requirements

• Experience in leading data analysis and cleansing procedure and tools.
• Minimum 5-years working experience in data cleansing or migration.
• Experience in Workday and/or Oracle will be an advantage.

Application Procedures

Interested candidates, please email your resume to:
Attention: Lynn Mak Ling Ling (CEI No. R1986990)
[email protected]
Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.

• Possess a degree in Engineering with 1 to 3 years of relevant IT working experience
• Experience in managing data reconciliation/quality checks/dashboarding
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA
• Hands on experience in Snowflake and Tableau
• Experience in performing User Acceptance Testing (UAT)
• Experience in in providing documentation support
• Able to work closely with business end-users, data vendors, data product team and data engineers
• Able to provide clear requirements and collaborate with data

The company is a high-tech manufacturer of contact lens solutions, sterile pharmaceutical solutions, first-aid eye and wound irrigations as well as eye comfort drops.

Responsibilities:

• Inspects incoming raw materials for compliance with current standards.
• Conducts periodic test analysis on products undergoing stability studies.
• Inspects incoming packaging materials for compliance with current standards.
• Performs microbiological testing and environmental monitoring according to SOPs.
• Prepares test solutions, compounds, or reagents for laboratory use.
• Assists Chemist, Lab Supervisor, and Micro Supervisor in maintaining company quality manuals related to operating procedures.
• Assists in GMP audits, validation, qualification, and change control.
• Assist in maintaining QC-related files.

Requirements:

• Min Diploma in Chemistry, Chemical Process Technology, Pharm, Biotechnology, Quality Assurance or any other science-related
• Entry level are welcome, training provided
• Open to shift work

How to Apply:

Interested candidates, please submit your updated resume by using Apply Now button

**We regret to inform that only shortlisted candidates will be informed.**

Tan Zhi Ning

Registration Number: R23116771

EA License No: 18C9027

Responsibilities:

• Prepare and compile registration documents according to country-specific guidelines.
• Consolidate raw data, reference information, and technical specifications.
• Assist in preparing GMP-related requirements.
• Coordinate with various departments and customers to gather registration requirements.
• Liaise with relevant authorities (NEA, SCDF, SPF, HSA and MOM) on licensing, compliance and other legislative matters.
• Evaluate new products if license is required according to local regulations.
• Prepare Safety Data Sheet (SDS) and GHS labels in accordance to Globally Harmonized System (GHS) standards.
• Manage registration sample requests, receipts and dispatch by proper recording and monitoring and storage.

Requirements:

• Min NITEC / Diploma in Applied Chemistry, Biomedical Science, Biotechnology or any other science-related course
• Experience in lab testing is an advantage, but entry-level are welcome too (training provided)
• Posses good analytical skills, meticulous & organised

How to Apply:

Interested candidates, please submit your updated resume by using Apply Now button

**We regret to inform that only shortlisted candidates will be informed.**

Tan Zhi Ning

Registration Number: R23116771

EA License No: 18C9027

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

As a Principal Staff Data Scientist, you will be reporting to Analytics Center of Excellence (CoE) Manager and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will initiate the best-practices in analytics use case development/deployment/ scaling/maintaining the data science projects and fostering partnership with Artificial Intelligence (AI) vendors/start-ups. You are responsible for developing and deploying machine learning or other statistical models to address most complex and operational challenges. You will build scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

• Work closely with stakeholders to translate their needs into predictive and prescriptive analytics solutions.
• Collaborate closely with GFIT and Manufacturing Data Domain group to build required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.
• Conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.
• Identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.
• Deploy models into production with assistance from Product Engineers.
• Validate and monitor models to ensure consistent performance and avoid performance degradation.
• Lead technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.
• Lead team of data scientists, including managing workloads, creating, and implementing common modeling standards and practices, and providing mentorship, support, and expertise.
• Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.
• Responsible for generating and maximizing value from analytics solutions.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.
• A minimum of 10 Years of experience in analytics space with proven track record of innovation as a forerunner.
• 5+ years of experience in technical team leadership.
• Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning
• Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)
• Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.
• Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.
• Strong communication skills to interact with both technical and non-technical audiences.
• Proven leadership skills to coach and guide team members to ensure on-time excellence.
• Product mindset with significant experience working in Agile teams.
• Ability to build a sense of trust and rapport within the team and senior leadership.
• Flexibility and ability to work with ambiguous problems and unstructured data.
• Strong bias towards action and proven ability toward iteratively and quickly to show incremental impact and value.

Preferred Qualifications:

• Master’s in data science, computer science or other quantitative field.

Information:

1. Post: Grinding Department (Weekly/or Monthly Rotation)
2. Post Assembly Department (Monthly Rotation)
3. Basic Salary: $2,600 - $3,500 depend on experience ; Entry level：$2,600
4. Attendance: $40
5. Morning Shift: 7am - 3pm; Afternoon Shift: 3pm - 11pm ($8.50/day); Night Shift: 11pm - 7am ($14/day)
6. Company transport at various location in the west

Responsibilities:

• Operate and monitor machinery on the assembly line to ensure smooth operation
• Conduct routine maintenance tasks, identify and address any issues with machine operation
• Troubleshoot & repair production machines for mechanism and electrical issues to minimise downtime
• Inspections to identify potential malfunctions and perform preventive maintenance
• Work cross-functionally to identify areas for improvement in quality, productivity and cost reduction
• Develop/modifications to equipment and processes to enhance efficiency and performance
• Plan and execute improvement projects from conception to completion
• Evaluate existing processes and practices to identify opportunities for optimisation
• Propose solutions to improve operational efficiency and product quality
• Develop and update programming for automated production equipment to optimise performance
• Provide training to operators on the operation and maintenance of automated equipment as necessary
• Conduct washing to remove contaminants from ball bearings, ensure adherence to quality standards
• Perform test to assess quality and integrity of ball bearings, documenting results accurately
• Visual inspections to identify defects or abnormalities in the manufacturing process
• Compile audit work papers and documentation to ensure completeness and accuracy
• Assist in the development of audit protocols and procedures
• Perform other administrative duties as assigned
• Adhere to all safety protocols and regulations to ensure a safe working environment
• Maintain cleanliness and organisation in work areas to promote efficiency and safety
• Review/recommend changes on procedures for work environment and safety aspects (E.g. IATF 16949, ISO14001, Safety Management Systems, etc.)
• Attend meetings, reviews, discussion and coordinate with Superior to achieve target and yield rate.

Requirements:

• ITE/Diploma in Mechanical/Electrical/Mechatronic engineering
• Entry level are welcome to apply
• Comfortable wearing jumpsuit and cleanroom environment
• Able to commit monthly rotation shift work

Interested applicants, send in your updated resume by clicking “Apply Now”

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Salary: up to $3500

Working Days & Hours: Mon-Fri Office Hours

Location: Labrador Park / Orchard

Job Description:

• Carry out jobs postings and perform phone screen candidates
• Schedule shortlisted candidates for interviews
• Monitor and track progress of shortlisted candidates during the recruitment process
• Arrange for pre-recruitment medical checkup and other formalities
• Prepare employment contracts and other related documentation
• General administrative duties including updating hr systems

Job Requirements: Min Degree in Human Resources / Business / Sciences or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Responsibilities:

• Qualify for and perform routine validated test methodologies on finished products, special projects or specified testing as directed in accordance to Standard Operating Procedures (SOPs)
• Assist to mix in raw ingradients to drums for machine mixing
• Load drums onto trolley for transporting
• Conduct all assigned work in compliance with our organization’s safety and quality requirements
• Get direction from Team Leader on work assignments
• Replenish and track inventory
• Maintain equipment records
• Perform daily housekeeping and routine basic equipment maintenance
• Communicate immediately any product testing deviation, failures/issues, or any other laboratory anomalies directly to Team Leader

Requirements:

• Min Nitec / Diploma in Sciences or Engineering field of study
• Okay with carry loads up to 20kg if needed
• No related exp needed, training provided!
• Able to commit min 3-6mths
  

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: Compound Technician

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts (3 on + 3 off)
• 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 Job(at)anradus.com.sg. Kindly 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 | Angel Lim | EA Reg No.: R1769781

Details of the Division and Team:

The Cash Product Management Team is seeking a Data Quality Control Lead who will drive forward the the Data Product pillar data risk and control transformation compliance agenda within the Cash Product team, based in Singapore.

In this role you will lead our data risk and control transformation compliance within Cash Management, driving and consolidating considerable change management and delivering best data practices into the core of our Cash franchise to achieve a stronger performance for the Corporate Bank and Deutsche Bank. You will report into the Data Quality Lead who is accountable for one of our four pillars under the Data Pillar function. You will work with our global Product, Sales & Services teams and downstream consumers to focus on delivery of our target data state for cash – ensuring completeness & integrity are assured through our transformation programs throughout the Corporate Bank.

What we will offer you:

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Flexible working arrangements
• 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement

Your key responsibilities:

• Drive forward with the global product owner’s data risk prioritization to improve the control landscape.
• Ensure gaps in data controls are presented alongside the risks to the business and downstream consumers. Ensure benefits of data transformation are clearly articulated up to forums.
• Consolidate all the data control and data risk demands for onward Product discussion and prioritization to our Cash Data Transformation Programme.
• Embed a data driven culture and discipline throughout the Cash Organization, enforce risk based priority to the function to drive control enhancements to our data.
• Produce reporting content on the progress and maturity level against target state to various forums.
• Engage with Central Data teams on Regulation, Policy & Framework updates to ensure alignment of Cash with regulations & DB policies

Your skills and experience:

• Minimum 10 years in the Financial Industry.
• Minimum 7 years experience in Corporate Bank or Investment Bank.
• 4-5 years driving forward data quality and controls within their role either in Corporate Bank or Investment Bank.
• Strong awareness of managing data quality and improving the control environment.
• Strong literacy in Data topics & an appetite for ongoing learning
• Strong risk awareness and experience in identifying, measuring and tracking business risks
• Working technology knowledge and architecture planning skills to ensure solutions to risks/issues are embedded in target state whilst effectively mitigating near term challenges

Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirements may apply.

How we’ll support you:

• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs
• Training and development to help you excel in your career
• Coaching and support from experts in your team

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

• Pull, consolidate and organise monthly financial reports (related to service costs) by extracting and defining relevant information
• Support and co-ordinate with various stakeholders to prepare data/report for service repair cost forecasting/budgeting activities for analysis on a timely basis
• Participate/support projects under strict timelines
• Perform other duties as assigned.

Requirements:

• Diploma in Business/Statistics/Mathematics/Accounting/Finance/Computing
• Minimum 1 year’s work experience with statistical reporting and data analytical skill
• Knowledge/experience in Microsoft Excel macros, Forecasting/ Planning tool, Microsoft PowerPoint.
• Strong proficiency in Microsoft Excel, including experience with pivot tables lookup
• Attention to detail and ability to maintain data accuracy
• Possess a demonstrated sense of urgency with the ability to perform well under pressure
• Possess good communication with different stakeholders
• Pro-active team player who is able to perform tasks that requires meticulous attention to detail

Please contact Terence at +65 9645 4048 your resume directly for fast response.

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO.
By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

Looking to start a career with Banks doing sales? But not sure if you are suitable or is this something that you are looking at?

If you are willing to learn & able to work on weekends/ Retail Branch Hours.YOU are who we are looking for! Call Us Now!

Starting Basic Salary S$3,500 + Sales Allowances + Quarterly Commissions (Monthly Gross income of S$6,000 & above)Degree with/without experience/ Diploma with 1- 2 years working experience

Training will be provided with Good Career Progression

RESPONSIBILITIES:

• Provide financial advice to clients through offering wealth management solutions, such as insurance, structured deposits, loans and unit trusts.
• Play an active part in planning campaigns across the bank or within the branch.
• Develop and strengthen long-term relationships with clientsREQUIREMENTS:• Degree in any discipline with/without experience / Diploma in any discipline with 1- 2 years working experience
• Able to work on a flexible schedule that includes weekends
• Has a passion for banking and wealth management

OTHER INFORMATION:

• Location: Island-wide Branches
• Monthly Basic Salary: S$3,500 Basic + Sales Allowances + Quarterly Commissions – (Monthly Gross income of S$6,000 & above)
• Good performers can expect excellent financial rewards and rapid career advancement.
• Our Company strives to achieve employee satisfaction and provides conducive working environment, recognition, attractive rewards to all staff.

HOW TO APPLY:

So if you are

• An experienced Sales person

• Or someone looking for a Sales Career to earn a better income

• or simply looking for a Change in Career

Kindly send in your resume to [email protected]

EA Name: Louise Chia Chau Lu
Registration No. R1769464
EA License No. 22C1201

Salt is looking to hire a Data Architect for a global technology client on a yearly renewable contract role. In this role you will be responsible for partnering with global internal stakeholders and data engineering teams to build and maintain optimal data warehouse solutions and data marts; design and implement data integrity and data quality processes across ETL and database design.

Job Scope :

• Work closely with a team of data analysts to ensure the delivery of timely and high-quality dashboards, reports, and analyses
• Design, optimize, and maintain best practice data warehouse solutions and data models for the storage and retrieval of data
• Build and maintain standardised schema and data definitions across the organisation.
• Help implement a robust data quality management process with automated checks to ensure the integrity and reliability of data within Engagement
• Produce and maintain documentation for all data sources and artifacts within Engagement to facilitate self-service across the organisation.
• Build and implement processes around data retention and lifecycle management
• Partner with Data Engineering and other cross-functional partners to aid development of core datasets that empower operational and exploratory analysis
• Work with business to analyse and document structural requirements for new systems and applications, designing conceptual and logical data models and flowcharts
• Establish best practice data governance as a strong foundation for being a data informed organisation
• Recommend solutions to improve new and xisting systems and take us to the next level of data maturity
• Monitor and optimise performance of our data warehouse by performing regular tests, troubleshooting and integrating new features.

Requirement:

• Strong knowledge of database structure principles and data mining, ETL processes and designs
• Strong data architecture, data modeling, schema design and effective data management skills
• Experience working with SQL / Presto / Hive / Spark
• Proven experience in querying and working on large datasets
• Proven organizational and analytical abilities and outstanding problem solver
• Experience gathering and analyzing system requirements
• Familiarity with data visualization tools (e.g. Tableau or equivalent)
• At least 5+ years of relevant working experience

If this role sounds like your ideal job move, please reach out to me, Jaya at [email protected]alternatively you may apply via the system!

Regret only shortlisted candidates will be notified.

CEI No: R1659595 / EA No: 07C3147

COMPANY OVERVIEW
Our client is a leading entity in the energy trading sector. The organization operates on a global scale, providing trading and risk management solutions tailored to the energy market's dynamic nature. With a focus on optimizing energy supply chains, the company plays a pivotal role in connecting energy producers with consumers, ensuring the efficient and reliable distribution of energy resources worldwide. Their strategic approach combines deep market insights with advanced technology, making them a key player in the global energy landscape.

They are in search of a Data Engineer.

JOB RESPONSIBILITIES

· The Data Engineer role is part of the L3 squad within the Data Team at IT Department.

· The L3 squad focuses on designing, building, and testing complex data ingestion and processing pipelines.

· L3 squad works closely with the L2 squad, which handles platform administration, operational support, small changes, and release management.

· Heavily investing in Data and Analytics to support data-driven commercial decision-making, risk management, and operations.

· The Data Team is leading the creation of a modern data platform using Azure services and Databricks.

· Key deliverables include a central data warehouse for trade, valuation, and risk data, and a central hub for sharing market fundamentals in commodity markets.

· The team also builds data pipelines for scraping, ingesting, and analyzing various data sources, along with tools for data governance and discovery.

· The Data Engineer role is part of a skilled team based primarily in Singapore, working within an agile framework and following DevOps principles.

· The team values fast-paced, iterative development, with an emphasis on collaboration, autonomy, and ownership.

· The Data Engineer will be involved in designing and delivering data solutions, collaborating on technical architecture, and ensuring high-quality, production-ready data pipelines.

· The role includes around 80% focus on Data Engineering tasks, with 20% dedicated to supporting production deployments and resolving production issues.

JOB REQUIREMENTS

· Approximately 5 years of experience in a similar role, focusing on cloud technologies and data architecture.

· Extensive experience with Azure cloud services and modern cloud-based data architectures.

· Advanced skills in Python and SQL programming languages.

· Hands-on experience with Databricks or similar platforms like Spark, including advanced knowledge of Databricks features like Unity Catalog, Delta Live Tables, and platform administration.

· Proficient in using Azure services such as VNET, Key Vaults, Azure Data Factory, ADLS Gen2, Virtual Machines, App Services, Storage Accounts, and Azure Active Directory.

· Skilled in dimensional modeling techniques, including star and snowflake schema design.

· Experienced in orchestrating data pipelines using Azure Data Factory or Airflow.

· Knowledgeable in Python libraries like Pandas, Numpy, and Seaborn for data analysis.

· Strong understanding of Big Data concepts, including MapReduce, Spark, and file formats like Parquet, Avro, and ORC.

· Familiarity with reporting tools like Power BI or Tableau for data visualization.

· Proficient in source code management using tools like Azure DevOps and Git.

· Experienced in Agile delivery methodologies such as SCRUM or Kanban.

· Familiar with work management tools like JIRA and Confluence.

· Certified in Data Engineering, demonstrating a strong foundation in the field.

· Possesses a strong academic background with a relevant degree or professional qualification.

· Analytical, flexible, and open to diverse opinions, with a commitment to continuous learning and engineering excellence.

· Highly organized, detail-oriented, and capable of working independently or in team settings.

· Effective communicator, confident in contributing to meetings and discussions.

· Collaborative, Agile, and takes ownership with a proactive, "get things done" attitude.

Working Location: Singapore

Apply online or feel free to contact me directly (via email:[email protected]) for more information about this opportunity. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

Syahirah Binte Ahmad Ja'afar (R22105331)

JAC Recruitment Pte. Ltd. (90C3026)

Jobs Responsibilities

• Analyze and optimize HR data to improve data quality and ensure accuracy across various modules in the HR system.
• Develop and implement data standards and guidelines to ensure consistency and integrity across all HR data
• Work closely with HR functional stakeholders to understand data needs and requirements, address data related challenges and support HR processes
• Work with IT team to troubleshoot and resolve data issues, ensuring seamless integration and operation of HR platforms.
• Identify opportunities to improve data related processes and workflows, ensuring that data management practices evolve with business needs

Job Requirements

• 2-5 years experience in HR Operations, HRIS, HR Analytics or HR data governance and documentation management
• Strong understanding in HR data structures, processes and compliance requirements
• Experience in data optimization and new HR system roll out projects is a plus
• Experience in Oracle EBS, Workday, SAP and other HR platforms is a plus

Application Procedures

Interested candidates, please email your resume to:
Attention: Lynn Mak Ling Ling (CEI No. R1986990)
[email protected]
Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.

• Permanent position with various allowances
• 12 hours shift work
• MNC Chemical Manufacturing Company at Jurong Island with transport pickup
• Salary: $3,300 + $1,100 Allowance + AWS + VB + Flexi Benefits, etc.

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.

Requirements

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a highly motivated and skilled Senior Data Scientist to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing complex datasets, developing predictive models, and providing insights that drive business decisions.

What you will do:

Model Development and Deployment:

• Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
• Calibrate model parameters and optimise existing business logic and parameters
• Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

• Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.
• Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

• Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.
• Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

• Mentor and provide guidance to junior data scientists and analysts in the team.
• Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

What we are looking for:

• 5+ years of experience in data science, preferably within the fintech or financial services industry.
• Proven experience in developing and deploying machine learning models in a production environment.
• Strong background in statistical analysis and machine learning.
• Expert in credit modelling and risk management would be an added advantage

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

About Us:

We are a dynamic fintech company leveraging AI to predict market trends and deliver advanced trading technology. Our mission is to democratize access to top-tier trading tools, empowering retail investors to compete with professional traders.

Job Overview:

We are looking for a Data Engineer to join our team in Singapore. This individual will play a pivotal role in ensuring the integrity and quality of data that powers our machine-learning models. Responsibilities include data cleaning, processing, and organization, as well as implementing data governance practices to maintain data accuracy and compliance.

Key Responsibilities:

• Collect, clean, and process raw data from diverse sources for use in our predictive models.
• Develop and maintain databases, data systems, and data pipelines to ensure seamless data flow.
• Implement data validation processes to guarantee data accuracy and reliability.
• Collaborate with data scientists and machine learning engineers to understand data requirements and deliver high-quality datasets.
• Identify and execute data process improvements, such as automating manual tasks and optimizing data delivery.
• Establish and enforce data governance practices to ensure data quality, integrity, and compliance with regulatory standards.
• Implement and maintain robust security measures to protect data confidentiality.

Required Skills/Experience:

• Bachelor's degree in Computer Science, a related quantitative field (e.g., Mathematics, Statistics, Engineering), or equivalent practical experience.
• Extensive experience in data cleaning, preprocessing, and wrangling.
• Proficiency in SQL, Python, and Shell scripting.
• Familiarity with additional programming languages is an advantage.
• Experience managing large datasets and developing data pipelines.
• Strong analytical and problem-solving skills.
• Meticulous attention to detail.
• Excellent communication skills.

Preferred Skills/Experience:

• Experience in financial data analysis or working in a fintech environment.
• Understanding of machine learning concepts and processes.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience with relational databases and data lakes.
• Proficiency with Apache Airflow for workflow automation.
• Knowledge of data governance frameworks and best practices.

Perks and Benefits:

• Competitive salary.
• Opportunity to work with a team of experts in AI and finance.
• The chance to contribute to a rapidly growing fintech company.

If you are passionate about data and eager to join an innovative team at the forefront of fintech, we would love to hear from you.

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

We are seeking a highly organised, detail-oriented individual to join our team as a Financial Data Analyst. You will be responsible for reporting the Service financial data in our customer service solutions group. You will also be working closely with other relevant teams/stakeholders to support the forecasting/budgeting activities.

What you will be doing

• · Pull, consolidate and organise monthly financial reports (related to service costs) by extracting and defining relevant information
• · Support and co-ordinate with various stakeholders to prepare data/report for service repair cost forecasting/budgeting activities for analysis on a timely basis
• · Participate/support projects under strict timelines
• · Perform other duties as assigned.

What you should have

• Diploma in Business/Statistics/Mathematics/Accounting/Finance/Computing or any related field
• Minimum 1 year’s work experience with statistical reporting and data analytical skill
• Strong proficiency in Microsoft Excel, including experience with pivot tables lookup
• Microsoft PowerPoint

What will help you succeed

• Knowledge/experience in Microsoft Excel macros, Forecasting/ Planning tool.
• Attention to detail and ability to maintain data accuracy
• Possess a demonstrated sense of urgency with the ability to perform well under pressure
• Possess good communication with different stakeholders
• Pro-active team player who is able to perform tasks that requires meticulous attention to detail

At Sony, we strive to create a place for you to realise your potential and inspire you to make positive impact through innovation, smart collaboration and boundless curiosity. We are looking for people who believe that they can enrich lives and help us achieve our purpose – fill the world with emotion, through the power of creativity and technology.

Must Have

• Should have minimum of 10 Years of exp and familiar with analytics skills on data lake environment for Risk and Regulatory reporting with SLA commitment
• Extensive Experience on Data Warehouse Solutioning and Strategy Roadmap.
• Should have strong business knowledge on Risk and Regulatory data for understanding business terms and analyse required data independently in Data lake environment using various tools to query/check data
• Should have hands on experience in Sql Databases, ETL tools. Preparing data using Pyspark, Dataframes, bteq for analysis
• Strong in Data Operating Models for implementation of Transformations, Data Lineage, Metadata Management, Data Quality and profiling of Critical data under Consent Order programs for Banking Risk portfolios
• Should have basic understanding on Erwin, Collibra, Hadoop, R, Python and Py spark for Data governance.
• Should have knowledge to understand SAS programming, big data eco system

Good to Have

• •Having exposure to Project Management Tools and ETL Tools such as development knowledge on ETL tools like Datastage, Talend, Teradata Bteq are added advantage.
• •Having more consumer banking domain knowledge
• •Having be familiarity with reporting tool such as SAS, Tableau, Micro Strategy, Cognos, Power-BI for cresting the marts.

Roles & Responsibilities

• Co-Ordination with Business and TEchnology stakeholders to strategize the Data Warehouse Implementation Roadmap
• Extensive experience of Large TRansformation Programs and Multi-country roll out of data warehouse & data lake Capabilities
• Technical TRoubleshooting of Business User Queries both Functionally and Technically.
• Have strong ability to decode business logics from legacy codes built on SAS, Oracle PL/SQL, Teradata Bteq, IBM Datastage
• Extensive knowledge in Banking Financial Risk Data Analysis, Regulatory reporting, Digital Banking and project management
• Expertize in building Workdown Break Structure ( WBS ) business requirement into smaller stories using Agile methodology, prepare project deliverable plan and drive the project until implementation closure
• Should be strong in analsing data using big data analytical tools, hive, hue, Teradata SQL assistance, Oracle and using Linux shell
• Strong in Data Operating Models for implementation of Data Lineage, Metadata Management, Data Quality and profiling of Critical data under Consent Order programs for Banking Risk portfolios
• Should have basic understanding on Erwin, Collibra, Hadoop, R, Python and Py spark for Data governance.
• Ability to work on gathering new requirements, scope, analysis and documentation of business and functional requirements, delivering artifacts like Narratives, User Story, BRD, FSD etc.
• Strong ability to communicate, influence, proactive and provide analytical solutions for customers, business stakeholders and Senior Management.
• Good relationship and stakeholder management skills and proven ability to operate effectively between cross domain/LOB and multi functional teams
• Lead solution workshops and project sprints deriving cross platform architectural solutions in onsite-offshore working model