Total 669 Senior Executive data entry job vacancies in Australia

Key Responsibilities

• Product Disposition Solutions: Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.

• Data Analysis for Yield Improvement and Reliability: Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.

• Deviation Alert System: Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.

• Models/Algorithm Development: Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.

• Mentorship and Development: Actively mentor and develop team members to foster growth and development within the team and the organization.

• Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.

• Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.

• AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.

Requirements

• Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or related engineering fields.

• Experience in data analytics/science industry. Experience in Micron Product Engineering or the semiconductor industry is preferred.

• Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.

• Excellent communication skills to present findings and insights to non-technical stakeholders.

• Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems. Experience in mentoring and coaching team members to develop their skills.

• Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).

• Strong sense of responsibility and accountability towards assigned role with professional work ethic.

• Work on site in Singapore with international travel to Taiwan.

We are looking for degree-holders who can spearhead talent acquisition initiatives in the healthcare sector.

Job Scope:

·         Conduct HR talent acquisition activities, including end-to-end recruitment

·         Support team initiatives in engaging clients

·         Manage HR matters for candidates and clients

·         Work closely with clients to understand talent acquisition needs

·         Network and build strong relationships with candidates and companies

Job Requirements:

·         Degree in any field, no experience required as training is provided on the job.

·         Strong communication and interpersonal skills

·         Driven, resilient, and willing to learn

Alicia Cheong Ling Wei

R1104785

Recruit Express Pte Ltd

EA License No. 99C4599

Mon to Fri 9am to 6pm

Salary $2800-$3600+$200+$200

Location: Serangoon

Industry: Oil and gas/Chemical/Valve/Semicond/Industrial

Job Description

• Strong negotiation and relationship building skills
• Pleasant disposition
• No prior experience in electronics industry but in other industry is also welcome
• Basic understanding of electronic product specifications, features, and applications
• Ability to work independently (like making cold calls) and as part of a team in a fast-paced environment.
• Ability to travel in short notice to meet prospectus
• Proficiency in MS office (like excel) and presentation tools
• Strong problem solving skills and active listening ability

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at emily.fong@atomrecruit.com

Emily Fong

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

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

About the Role
We’re on the lookout for a motivated and energetic Marketing Executive to join our growing team! If you enjoy meeting people, being part of exciting campaigns, and bringing ideas to life, this role is for you. You’ll get hands-on experience in marketing, events, and customer engagement—perfect for fresh graduates ready to kickstart their careers.

What You’ll Be Doing

• Help plan and roll out creative marketing campaigns
• Support events, promotions, and on-the-ground activities
• Connect with customers and build meaningful interactions
• Keep track of campaign performance and share insights
• Work closely with the team to make things happen smoothly

What We’re Looking For

• Great communication and people skills
• A positive attitude and eagerness to learn
• Someone who enjoys a fast-paced, dynamic environment

What You’ll Get

• Structured training and supportive mentorship
• Clear pathways for career growth into senior roles
• Performance-based rewards and recognition
• Opportunities to travel and gain regional exposure through events

Sound like your kind of role?
Apply now and let’s grow together

Job Requirements:

• Degree in Information Technology or equivalent.
• Must have 8 -12 years of experience in Data Warehousing
• Extensive experience in ERD Design/ETL/Querying
• Must have at least 6-8 years of Python Development in Data Engineering
• Minimum 8 -10 years of SQL experience
• Experience in RestAPI is mandatory
• Experience in AWS cloud is Mandatory 
• Experience in CI/CD, Docker and Kubernetes
• Experience in Big Data Technologies- Apache, Spark, Hive or Kafka
• Experience in Data Governance, Data Security and Security Frameworks
• Ability to work independently and manage stake holders and users
• Excellent written and verbal communication skills

Responsibilities

• Integrate data from multiple sources, such as databases, APIs, or streaming platforms, to provide a unified view of the data

• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data

• Identify and resolve data quality issues, monitor data pipelines for errors, and implement data governance and data quality frameworks

• Enforce data security and compliance with relevant regulations and industry-specific standards

• Implement data access controls, encryption mechanisms, and monitor data privacy and security risks

• Optimise data processing and query performance by tuning database configurations, implementing indexing strategies, and leveraging distributed computing frameworks

• Optimize data structures for efficient querying and develop data dictionaries and metadata repositories

• Identify and resolve performance bottlenecks in data pipelines and systems

• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders

• Document data pipelines, data schemas, and system configurations, making it easier for others to understand and work with the data infrastructure

• Monitor data pipelines, databases, and data infrastructure for errors, performance issues, and system failures

• Set up monitoring tools, alerts, and logging mechanisms to proactively identify and resolve issues to ensure the availability and reliability of data

• It would be a plus if he has software engineering background

Requirements

• Bachelor's or master's degree in computer science, information technology, data engineering, or a related field

• Strong knowledge of databases, data structures, algorithms

• Proficiency in working with data engineering tools and technologies including knowledge of data integration tools (e.g., Apache Kafka, Azure IoTHub, Azure EventHub), ETL/ELT frameworks (e.g., Apache Spark, Azure Synapse), big data platforms (e.g., Apache Hadoop), and cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure)

• Expertise in working with relational databases (e.g., MySQL, PostgreSQL, Azure SQL, Azure Data Explorer) and data warehousing concepts.

• Familiarity with data modeling, schema design, indexing, and optimization techniques is valuable for building efficient and scalable data systems

• Proficiency in languages such as Python, SQL, KQL, Java, and Scala

• Experience with scripting languages like Bash or PowerShell for automation and system administration tasks

• Strong knowledge of data processing frameworks like Apache Spark, Apache Flink, or Apache Beam for efficiently handling large-scale data processing and transformation tasks

• Understanding of data serialization formats (e.g., JSON, Avro, Parquet) and data serialization libraries (e.g., Apache Avro, Apache Parquet) is valuable

• Having experience in CI/CD and GitHub that demonstrates ability to work in a collaborative and iterative development environment

• Having experience in visualization tools (e.g. Power BI, Plotly, Grafana, Redash) is beneficial

Preferred Skills & Characteristics

Consistently display dynamic independent work habits, goal oriented, passionate in growth mindsets and self-motivated professional. Self-driven and proactive in keeping up with new technologies and programming

Role Overview:

We are looking for an experienced Senior Data Engineer to strengthen our data capabilities and drive technical excellence within the team. This position will be instrumental in building scalable data systems, shaping architecture decisions, and supporting enterprise-wide data governance practices. The successful candidate will combine strong engineering expertise with leadership and collaboration skills.

Key Responsibilities:

• Build and optimise data pipelines and ETL/ELT workflows using Python and SQL

• Design data models, system architecture, and contribute to technical decisions

• Develop APIs and enable efficient data access for downstream systems

• Implement both batch and real-time data processing solutions

• Deploy and manage cloud infrastructure using Terraform (IaC)

• Build and maintain CI/CD pipelines (e.g., GitHub Actions)

• Work extensively with AWS services (e.g., S3, Glue, Lambda, RDS)

• Drive data governance, security, and privacy standards (encryption, data protection)

• Collaborate across teams and provide technical leadership

Key Skills & Experience:

• Strong SQL and advanced Python skills

• Hands-on experience with AWS and cloud-native data platforms

• Experience with Terraform and CI/CD tools

• Knowledge of big data frameworks (e.g., Spark, Kafka, Hive)

• Familiarity with Docker/Kubernetes

• Solid understanding of data governance, quality, and security

• Strong communication skills with experience mentoring teams

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

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Responsibilities

Part 1. Data Modeling

• Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.

• Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.

• Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.

• Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.

• Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

• Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.

• Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.

• Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

• Participate in and contribute to data governance strategies, policies, and standards.

• Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

• We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.

These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.

Minimum qualifications:

• Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.

• Minimum 5 years of proven experience designing and implementing ETL pipelines, with a strong understanding of the strategies, rules, and processes involved in building scalable and reliable data pipelines.

• Experience with streaming data pipelines or real-time data processing technologies, such as Apache Kafka or Apache Flink.

• Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.

• Familiarity with Google Cloud Platform (GCP) and modern data infrastructure tools, including Databricks and Airflow.

• Knowledge of data governance practices and regulatory requirements within the financial industry.

• Excellent problem-solving skills with strong attention to detail and a commitment to producing high-quality work.

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

• Outstanding verbal communication skills, with the ability to collaborate effectively with globally distributed teams.

Preferred qualifications:

• Experience with financial industries, payment systems, or fintech platforms.

• Knowledge of data governance practices and regulatory requirements in the financial industry.

• Experience with scripting languages (e.g., Python, R) for data analysis and automation.

• Certification in data management or related technologies

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

How will you value-add? 

Facilitating compliance through accountability, building clients’ trust and safeguarding the firm’s data and reputation are at the heart of the Data Protection Office. A career in the Data Protection Office provides you with a great opportunity to drive continuous data protection improvements and promote a positive data culture.   

We are currently seeking a suitable candidate to join the team as a Senior Associate to provide support to the DPO team in developing guidance and monitoring compliance with applicable laws and regulations, contractual obligations as well as internal policies and procedures.   

Key responsibilities: 

• Assist with implementing global policies and developing local policies and guidance in the areas of data protection and privacy, with a view for efficiency through the use of technology 

• Assist with reviews to ensure privacy and data protection compliance and proactively address potential privacy and data protection issues 

• Assist with investigations and advise on data incidents or privacy complaints and undertake reporting and remedial actions as necessary 

• Assist with data protection control reviews as part of technology risk assessments 

• Support the data incident management process 

• Support Legal and Risk Management processes around privacy and data protection issues in contract negotiations and client relationships 

• Assist with developing training material on data protection and privacy  

• Assist with periodic internal and external reporting 

• Assist with developing and maintaining content on internal data protection portals 

• Assist with ad-hoc projects 

About you 

• At least 3+ years of working experience in data privacy, data security, cybersecurity, risk management, or regulatory and compliance roles 

• Be well spoken, resourceful and a team player who has the confidence and maturity to interact effectively with all levels of staff within the firm. 

• Strong analytical and problem-solving skills with an eye for detail and accuracy 

• Possess a high level of resilience and positive work attitude 

• Willingness to learn and deliver timely and quality results to internal stakeholders 

• Preference will be accorded to candidates who have completed the course on Fundamentals of Personal Data Protection Act