Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Signal Integrity Staff Engineer

Manufacturing Engineer - Electrical

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: Process Analysis and Evaluation: <ul><li>Conduct comprehensive analysis of existing business processes to identify bottlenecks, inefficiencies, and areas for improvement.</li><li>Summarize from massive &amp; unstructured data/information into presentable format for stakeholders’ review</li><li>Collaborate with stakeholders to understand business requirements and align process changes with strategic goals.</li><li>Utilize data-driven insights to identify key performance indicators (KPIs) and measure process performance and outcomes.</li></ul> Process Design and Implementation: <ul><li>Develop and design streamlined processes and procedures that enhance productivity, reduce costs, and improve overall operational efficiency.</li><li>Ensure that new processes are clearly documented, communicated to relevant teams, and effectively implemented.</li><li>Work with cross-functional teams to gain buy-in and ensure smooth integration of process changes.</li></ul> Process Monitoring and Optimization: <ul><li>Establish mechanisms for ongoing monitoring and evaluation of implemented processes to identify potential issues or deviations.</li><li>Regularly analyze performance data, gather feedback, and adjust as needed to continuously improve processes.</li><li>Implement best practices and industry standards to further optimize business processes.</li></ul> Change Management and Leadership: <ul><li>Lead change management initiatives to foster a culture of continuous improvement and process excellence.</li><li>Engage and educate employees at all levels on process changes, addressing concerns, and promoting adoption.</li><li>Provide guidance and support to teams during the transition phase and ensure adherence to new processes.</li><li>Strong stakeholder management which able to convince stakeholders on proposed improvements for better process across functions</li></ul> Continuous Improvement: <ul><li>Ensure improvements are standardized, documented, and scalable across the organization.</li><li>Identify opportunities to automate processes and integrate technology solutions to streamline workflows and improve operational efficiency.</li><li>Monitor industry trends and best practices related to BPMN and process documentation to drive ongoing improvements.</li><li>Key Performance Indicator (KPIs)</li></ul> End-to-end process maturity: <ul><li>Achievement of process KPI targets</li><li>Consistent service level provided to key stakeholders</li></ul> Requirements: <ul><li>Bachelors degree in Business Administration, Management, Engineering, Supply Chain or a related field. Masters degree is a plus.</li><li>Min 8 years of Industry experience.</li><li>Proven experience (typically 5+ years) in business process management, process improvement, Supply Chain , Manufacturing or related roles.</li><li>Fluent English</li><li>Experience in driving for process improvements in the area of Supply Chain or Manufacturing</li><li>Strong analytical and problem-solving skills with a data-driven approach to decision-making.</li><li>Excellent project management skills with the ability to lead cross-functional teams effectively.</li><li>Strong communication and interpersonal skills to collaborate with diverse stakeholders.</li><li>Knowledge of process improvement methodologies such as Lean, Six Sigma, or BPMN (Business Process Model and Notation).</li><li>Familiarity with process modeling and workflow software tools.</li><li>Ability to adapt to a dynamic and fast-paced work environment</li><li>Need to have experience in program/project management</li><li>Solid experience facilitating and moderating process mapping &amp; improvement workshop</li><li>Consulting experience on any ERP solutions would be ideal</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities: <ul><li>Establish and maintain data quality metrics and KPIs, regularly monitoring and reporting on data quality issues, trends, and improvements (also in VBA, SQL)</li><li>Collaborate with stakeholders, including supply chain planners, IT teams, and business leaders, to identify master data requirements and define data governance policies and procedures.</li><li>Lead the identification, collection, and validation of master data from various sources, ensuring data accuracy and integrity throughout the data lifecycle.</li><li>Define and implement data cleansing, enrichment, and standardization processes to improve data quality and usability.</li><li>Drive the adoption and utilization of master data management tools and systems, providing guidance and support to users, and ensuring data integrity and consistency across platforms.</li><li>Collaborate with IT teams to design, implement, and enhance master data management systems and infrastructure, aligning with business requirements and best practices.</li><li>Provide guidance and training to supply chain planning teams on master data management processes, standards, and tools, promoting data governance awareness and adherence.</li><li>Stay updated on industry trends, best practices, and emerging technologies related to master data management, and proactively identify opportunities for improvement and innovation.</li><li>Lead data-related projects and initiatives, coordinating cross-functional teams, managing timelines and deliverables, and ensuring successful project execution.</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field.</li></ul> Professional Experience (years in what processes and function): <ul><li>Proven experience 1-2 years master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP, Tableau, VBA, SQL.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul> Special Qualifications, Knowledge &amp; Skills: <ul><li>Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.</li><li>Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail oriented and able to communicate to cross functional teams.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li><li>Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.</li></ul>

Role Description: <ul><li>Conduct new equipment introduction (automation) and set the equipment Maintenance plan and machine operation instruction, support Process ME (Cable and Cable Assembly) team for the new product pilot run with the objective of meeting production requirements and ensure the machine stability on production within Engineering policies, procedures and systems.</li></ul> Responsibilities: <ul><li>Equipment Development Project Subject matter expert and work with vendors to develop, set up/debug automation machine; Timely feedback and solve the problem to ensure the progress of the project.</li><li>Programming &amp; Digitalization Provide automatic control equipment programming according to the production needs and provide digital solution to implement site digital factory projects to improve process control real time.</li><li>Trouble Shooting Problem identification and trouble-shooting a wide range of complex electrical problems for automation line and be responsible for the effective communication across the company.</li><li>Technical Guidance Line maintenance/change over together with/guiding the engineers and technicians to make sure automation machine run smoothly.</li></ul> Requirements: <ul><li>Bachelor’s degree or above, majored in Automation or Electrical Engineering, familiar with electrical control theory and design.</li><li>At least 7+ years experience with automated machines maintenance and electrical design.</li><li>Familiar with Vision Inspection (Keyence/Cognex), Programmable Logic Controllers (PLC),Pneumatics, sensors, motors and other motion control devices.</li></ul>

Responsibilities: <ul><li>Elicit, analyze, and translate user needs into detailed, actionable requirements for the pod</li><li>Define and manage use cases, user stories, process flows, and visualizations to support development</li><li>Partner with design and engineering to explain functional requirements and continuously improve user experience</li><li>Maintain a backlog that stays 2–3 sprints ahead, ensuring clear Definitions of Ready and Done for all features</li><li>Communicate product vision and requirements effectively to developers, testers, and stakeholders</li><li>Support User Acceptance Testing by writing UAT scripts and participating in testing cycles as needed</li><li>Document confirmed business processes to serve as reference for development and IT support teams</li><li>Apply business process improvement methodologies to optimize workflows and system efficiency</li><li>Collaborate closely with the Product Manager to ensure backlog priorities align with business objectives</li><li>Track delivery metrics and build reports to measure progress, quality, and outcomes</li><li>Manage cross-pod dependencies in partnership with the Technical Product Manager</li><li>Ensure compliance with applicable standards by maintaining SDLC documentation, system configurations, and audit artifacts</li><li>Maintain a strong understanding of the IT application portfolio, developing deep expertise in specific products or BPM domains</li><li>Support and facilitate system demonstrations, including Inspect &amp; Adapt workshops, as required</li></ul> Requirements: <ul><li>Proven knowledge and understanding of standard practices, technology and supporting industry principles</li><li>Experience gathering requirements and translating into a product vision by leveraging their expertise in product development, engineering and UX</li><li>Deep understanding of business/processes and high-level understanding of high-quality digital product delivery</li><li>Experienced in managing a product backlog/release plan, tracking team level metrics, attend product team ceremonies, removing blockers (burndown chart, release burn up, etc.)</li><li>Experienced in developing systems and tools to enable customer interactions and collaboration (e.g., digital self, precision marketing, DAM, immersive technology)</li></ul>

Responsibilities: Test System Development: <ul><li>Provide hardware and software integration support for high-speed tester and function tester.</li><li>Optimize the testing system to improve the production efficiency.</li><li>Research potential products opportunities and conduct feasibility analysis and provide feedback to supervisor in order to meet business development requirements.</li></ul> Testing Result Data Statistic Analysis: <ul><li>Develop software for automation data process and trend analysis in order to provide accurate reports to meet customers requirement.</li></ul> EEPROM Programming System Support: <ul><li>Add new feature for the Nimshi software per the production requirement;</li><li>Support for new station setup and software update</li><li>Review new product EEPROM setup and work with PDE for issue solution in order to meet business development requirements.</li></ul> Electrical Testing Setup: <ul><li>Support for new product electrical testing setup and related failure analysis to meet business development requirements.</li></ul> People Training: <ul><li>Conduct trainings and deliver testing methods and software automation usage to engineer/technician for work efficiency improvement in order to improve team college skills.</li></ul> Testing Standard Review and Update: <ul><li>Review the initial setup for Bulk cable and cable assembly test standard limit; Update the EEPROM check script when new revision released to meet business development requirements.</li></ul> Laboratory Equipment Operation Methods and TPM: <ul><li>Review laboratory equipment operation methods and monitor high speed testing equipment operation in order to improve laboratory Equipment Operation efficiency.</li></ul> Requirements: <ul><li>Bachelor Degree in Electronic technology and science application major</li><li>Direct experience in product testing&nbsp;</li><li>Must have experience in Vector Network Analyzer (VNA) and Time Domain Reflectometry (TDR) or similar</li><li>5 years high speed testing working experience</li></ul>

Role Description: <ul><li>Seeking a skilled Electrical &amp; Electronics Engineer to manage the electrical/ electronics infrastructure, control systems, and automation for our electroplating operations, ensuring optimal performance, quality, and safety in a fast-paced manufacturing environment.</li></ul> Responsibilities:&nbsp; <ul><li>System Design &amp; Implementation: Install electrical systems, schematics, and controls for plating lines (rectifiers, heaters, pumps, automation).</li><li>Automation &amp; Control: Program, troubleshoot, and maintain PLC, SCADA, and HMI systems for automated plating processes, ensuring consistency and efficiency.</li><li>Power Management: Manage high-current DC power supplies (rectifiers) and associated distribution systems for plating baths</li><li>Maintenance &amp; Troubleshooting: Perform preventative maintenance, diagnostics, and rapid resolution of electrical faults in plant equipment and control systems.</li><li>Safety &amp; Compliance: Ensure all electrical installations and operations meet strict safety standards, codes and environmental regulations.</li><li>Process Optimization: Analyze electrical data to improve plating quality, efficiency, and cost-effectiveness, working closely with Plating Engineers/Mechanical engineers/chemists.</li><li>Documentation: Create and maintain detailed technical documentation, including electrical line diagrams, BOMs, and test reports.</li><li>Collaboration: Work with mechanical engineers, production staff, and vendors on project execution and system upgrades.</li></ul> Requirements: <ul><li>Education: Bachelors degree in Electrical &amp; Electronics Engineering.</li><li>Experience: Proven experience in industrial automation, power electronics, or electroplating operations.</li><li>Technical Skills: Strong knowledge of PLCs, HMIs, VFDs, and industrial control systems.</li><li>Proficiency in reading electrical drawings, schematics, and blueprints.</li><li>Understanding of power electronics (rectifiers) and DC power systems. o	Familiarity with plating processes (e.g., Nickel, Zinc, Chrome) and associated chemicals.</li><li>Knowledge of safety standards for electrical systems in industrial environments.</li><li>Soft Skills: Excellent problem-solving, analytical, leadership, and communication skills.</li></ul>

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134 optimize the use of production facilities Jobs found

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Signal Integrity Staff Engineer

Manufacturing Engineer - Electrical

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Jobtitle

134 optimize the use of production facilities Jobs found

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Signal Integrity Staff Engineer

Manufacturing Engineer - Electrical

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.