Total 656 Senior Executive data entry job vacancies in Singapore

About the Role

Drive engagement through direct conversations and consistent outreach activity.

Responsibilities

• Initiate conversations with prospects

• Deliver structured pitches

• Build trust quickly

• Maintain strong sales performance

About the Role

Play a key role in expanding the customer base through direct engagement.

Responsibilities

• Approach and engage customers

• Present solutions clearly

• Convert prospects

• Achieve targets

About the Role

Balance customer acquisition with strong engagement to drive consistent growth.

Responsibilities

• Approach and engage prospects

• Present clear solutions

• Maintain high outreach levels

• Convert leads

About the Role

Specialise in converting high volumes of prospects into paying customers.

Responsibilities

• Approach prospects

• Present product benefits

• Handle objections

• Close sales

About the Role

Operate on the ground, building real conversations that lead to real revenue.

Responsibilities

• Initiate face-to-face conversations

• Understand customer needs quickly

• Present solutions confidently

• Close deals on-site

About the Role

Focus on acquiring new customers through consistent, structured, face-to-face engagement.

Responsibilities

• Approach and qualify prospects

• Deliver clear pitches

• Overcome objections confidently

• Achieve acquisition targets

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

We are looking for driven individuals to join our growing campaign team.

This entry-level role is ideal for people who want to build a career in sales, marketing, and team leadership. You’ll receive mentorship, hands-on exposure, and the chance to grow in a supportive environment.

Key responsibilities:

• Represent clients in face-to-face campaigns
• Drive customer engagement and campaign awareness
• Understand customer needs and recommend suitable solutions
• Work collaboratively with the team to achieve daily targets
• Build confidence in communication, sales, and leadership

Who we’re looking for:

• Fresh graduates or entry-level applicants
• Strong work ethic and positive attitude
• Willingness to learn and improve
• Good interpersonal skills

What we offer:

• Ongoing mentorship
• Team-based environment
• Career growth opportunities
• Exposure to leadership development
• Dynamic and fun work culture

✈️Meet people, travel, and build your skills in marketing & events. Fun team + career growth + incentives!

Responsibilities

• Face-to-face sales & marketing at events and roadshows
• Engage customers and represent established brands
• Achieve campaign and team targets
• Assist in planning marketing initiatives
• Recruit and develop future team members

Perks:

• Performance-based earnings with weekly payouts
• Fast-track career progression into leadership
• Travel opportunities & regional campaigns
• Energetic, supportive team culture

Who We’re Looking For

• Fresh graduates or career switchers
• Positive, driven, results-oriented mindset
• Strong communication and teamwork skills

Are you looking for a dynamic, people-focused environment where you can kickstart your career and build valuable business skills?

We specialise in developing individuals into confident sales and marketing professionals through hands-on experience, structured training, and mentorship.

As an Entry-Level Sales & Marketing Executive, you’ll gain real-world exposure by working at events, roadshows, and on-ground campaigns, representing reputable brands while building essential communication and leadership skills.

No experience required — full training provided.

Job Summary

This role involves leveraging advanced data analysis, visualization, and engineering tools to develop data models, automate ETL processes, and deliver actionable business insights that drive strategic decision-making.

Responsibilities

• Analyze complex datasets using Power BI, Tableau, and QlikView/QlikSense to create interactive visualizations that support business objectives
• Develop and maintain SQL and Python scripts (using Pandas, NumPy, Matplotlib, Plotly, Bokeh) to extract, transform, and analyze data for reporting and predictive analytics
• Design and implement data models using Star Schema, Snowflake Schema, and DataLake architectures to optimize data storage and retrieval
• Manage and optimize databases on Azure SQL Database and SQL Server to ensure data integrity and performance
• Build and automate ETL workflows using SQL Server Integration Services (SSIS), Azure Data Factory (ADF), and Talend to streamline data transformation processes
• Utilize big data technologies such as Azure Synapse Analytics, Apache Spark, and Databricks to process large-scale datasets efficiently
• Implement DevOps practices by managing Azure DevOps pipelines and using Git/GitHub for version control and continuous integration/continuous deployment (CI/CD)
• Perform data cleansing, data mining, statistical analysis, and predictive analytics to uncover trends and support data-driven decision-making

Love people, events, and marketing?

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!