Lead Quality Automation Engineer

BI & Data Manager

Data Security Engineer - Cyber Security  (VP1)

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Responsibilities: Data Engineering &amp; Platform Development: <ul><li>Design, build and optimise enterprise data platforms using Microsoft Fabric (Lakehouse, Data Factory, Warehouse and Real-Time Analytics).</li><li>Develop scalable ETL/ELT pipelines supporting both batch and real-time data processing.</li><li>Optimise data storage, transformation and query performance across enterprise platforms.</li><li>Build reusable semantic models and scalable data products supporting enterprise analytics.</li></ul> Business Intelligence &amp; Analytics: <ul><li>Develop enterprise reporting and dashboard solutions using Power BI, Power Query, SQL and DAX.</li><li>Translate complex business requirements into scalable technical data solutions.</li><li>Enable self-service analytics while maintaining strong governance and platform performance.</li><li>Leverage Python where required for advanced analytics and data manipulation.</li></ul> Data Architecture &amp; Governance: <ul><li>Design scalable enterprise data models using modern architecture principles.</li><li>Drive enterprise-wide data governance, master data management, and data quality initiatives.</li><li>Implement data lineage, cataloguing, security, and regulatory compliance standards.</li><li>Establish best practices around data standards, access control, and governance.</li></ul> Technical Leadership: <ul><li>Lead and mentor a team of BI Developers and Data Engineers while remaining hands-on.</li><li>Own end-to-end delivery of enterprise data solutions from design through deployment and optimisation.</li><li>Conduct technical reviews and establish engineering best practices.</li><li>Collaborate closely with IT, Manufacturing, Operations, and business stakeholders to deliver scalable enterprise solutions.</li></ul> Requiremnents: <ul><li>8+ years of experience in Data Engineering, Enterprise Data Platforms or Business Intelligence.</li><li>Strong hands-on expertise with Microsoft Fabric (mandatory).</li><li>Proven experience working with SAP CDS Views, ideally within SAP S/4HANA environments (mandatory).</li><li>Experience integrating SAP with Manufacturing Execution Systems (MES) and other enterprise applications.</li><li>Strong manufacturing industry experience.</li><li>Advanced SQL, data modelling, and Power BI expertise.</li><li>Experience with Azure-based data platforms and modern Data Engineering practices.</li><li>Experience leading technical teams while remaining actively involved in solution design and development.</li><li>Excellent stakeholder management, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Create dashboards, alerts, reports in Splunk.&nbsp;</li><li>Maintain and enhance existing reports for business.</li><li>Develop the necessary test cases and perform testing.</li><li>Implement and operationalize the use cases.</li><li>Create and maintain documentation in accordance to Bank standards.&nbsp;</li><li>Ensure appropriate standards and procedures are adhered to during the development process to support quality deliverables.</li><li>Troubleshoot, debug and provide production system support for Data Security Engineering services.</li><li>Coordinate with internal teams and vendors to resolve system issues.</li><li>Execute tasks related to project / change request / maintenance request.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution.</li><li>Data Security product certifications will be favorable although not mandatory&nbsp;</li><li>Overall, 6 years of work experience in information technology and at least 2 years in Cyber Security.</li><li>Working experience in integrating solution with Splunk and developing Splunk contents (alerts, reports and dashboards).</li><li>At least 3 years of relevant experience in managing and deploying Data Security Solutions</li><li>Data Security or Splunk product certifications will be favorable although not mandatory.</li><li>Knowledgeable with the variety of Data Security technologies and familiar with the industry trends and best practices.</li><li>Analytical problem solver and good at troubleshooting technical issues</li><li>Hands-on experience with Windows, Unix or Linux and endpoint management tools (e.g. SCCM, JAMF).</li><li>Proficiency in network technologies, scripting and automation (e.g. PowerShell scripts, Python).</li><li>Advanced level of proficiency in Microsoft Office products.</li></ul>

Responsibilities: Safety and Legal Compliance: <ul><li>Familiarity with the operational legal requirement of the plant from DOLE, PEZA, DENR, LLDA, FPIP-DOR, BFP, FDA, PNP, PDEA, etc.</li><li>With on Safety Requirements for LOTO, Machine Guarding, Control Reliability, Work at Heights, Electrical Safety, Confined Spaces, Cyanide Alarms and sensors, etc.</li></ul> Supervision and Management of Plant Facilities Operation and Maintenance specifically the following: <ul><li>HVAC System</li><li>Compressed Dry Air</li><li>Electrical System</li><li>Water and Sewer Waste Water Operation</li><li>Plating Water and Wastewater Treatment</li><li>Building Maintenance and Building Management System</li><li>Electronic Controls and PLC System</li><li>Elevator System</li><li>Genset</li><li>Vacuum System</li><li>Fire protection and detection system</li><li>Paging System</li><li>Boiler, Scrubber and Mist Eliminator System</li><li>With ability to troubleshoot and recommend cost and life-cycle improvement for each process.&nbsp;</li></ul> Project Management and Cost Control: <ul><li>Leads the plant requirement on all its improvement project initiatives.</li><li>Highly knowledgeable on applicable engineering standards to recommend in the project design stage.</li><li>Up to date on the market costing to ensure accurate project cost estimation.</li><li>Recommend and review third party contracts.</li><li>With technical know-how to recommend fastest approach in meeting the deadline without issue on project quality.&nbsp;</li><li>Cost Cost Reduction Recommendation and Implementation:</li><li>Reviews plant performance related to power, water and expenses and recommend cost reduction measures.</li><li>Lead the plant to all Energy Conservation and Reduction programs.</li><li>Knowledgeable in Digital factory deployment such as Hydra Traceability, MES, Machine Connectivity for OEE tracking.</li></ul> Requirements: <ul><li>Licensed Engineer (ME, EE, ECE) with more than 10 years’ experience in Facilities Operation and Management in manufacturing set-up.&nbsp;</li><li>Able to communicate his/her idea to all levels of the organization.&nbsp;</li><li>Highly technical and analytical with People Management Skills.&nbsp;</li><li>Must have negotiation skills and able to work under pressure with ease and confidence.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: <ul><li>Develop new procedures and Best Known Methods (BKMs) to service new products. Contribute to the FMECA process.&nbsp;&nbsp;</li><li>Participate in or own first chamber Build &amp; Test in Apps lab. Solve issues, or work with Engineering to address issues identified.&nbsp;</li><li>Work with Manufacturing to develop procedures and participate (if required) on New Product final test</li><li>Partner with Quality &amp; Reliability (Q&amp;R) group to review and address Top Field Issues. Participate in or own CAPA process. Conduct or facilitate Failure Analysis (FA) if needed</li><li>Develop and document procedures to install (start-up), retrofit and maintain the product (Technical Product Manuals)</li><li>Develop new procedures, Customer Engineering Notices (CENs), Internal Service Bulletins (ISBs) and troubleshooting guides as required</li><li>Collect process and qualification data to create product Best Known Methods (BKMs)</li><li>Develop initial training package for new products and work with Global Technical Training (GTT) to develop training class. Train Customer Engineers (CEs), Process Engineers (PSEs) and Technical Product Support (TPS) assigned to customers who will receive ELS Shipments, prior to shipping</li><li>Identify new parts that require to be stocked by AGS and work with them to ensure parts are stocked in correct locations</li></ul> Requirements: <ul><li>More than 5 years of relevant equipment experiences in the semiconductor industry</li><li>Strong understanding of Vacuum chambers used in PVD or CVD, wet cleans products as well as hands-on skills in Electro mechanical semiconductor assemblies</li><li>Excellent communication and interpersonal skills</li><li>Confident in liaising with internal and external stakeholders of various seniorities</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsiblities: <ul><li>Design Quality Assurance: Organize and facilitate Design Reviews (DR) and DFMEA sessions to ensure robust product design and risk mitigation.</li><li>Prototype &amp; Sample Build Quality: Implement quality planning and controls for prototype/sample builds, including documentation and build record management.</li><li>Measurement System Validation: Conduct Measurement System Analysis (MSA) for inspection systems and gages used in the project.</li><li>Development Stage Quality Oversight: Analyze samples, address quality issues, and drive improvement actions during product development.</li><li>Verification &amp; Qualification: Lead design verification activities prior to design freeze and manage product qualification testing before Gate 5.</li><li>Tool &amp; Process Validation: Perform process capability studies and support Final Tool Approval (FTAR) using Comprehensive Tool Approval Reports (CTAR).</li><li>Production Quality Control: Establish and maintain quality controls and documentation for the production shop floor.</li><li>Ongoing Quality Monitoring: Monitor process capability and manage corrective actions to ensure sustained quality performance.</li><li>Inspection Review: Review and approve measurement and cosmetic inspection results to ensure compliance with specifications.</li><li>Audit Support: Provide support during customer and internal/external quality system audits.</li><li>Lead the development and implementation of Advanced Quality Planning (AQP) tools and methodologies within cross-functional product development teams.</li><li>Manage and mitigate project risks, ensuring customer requirements are clearly understood and integrated from the outset.</li><li>Conduct design and process audits for NPI projects, ensuring compliance with internal and external standards.</li><li>Collaborate closely with manufacturing sites to ensure seamless transition from design to production, including training facilitation and sharing of best practices and lessons learned.</li><li>Support customer complaint investigations during NPI, including documentation collection, in-process record review, and postmortem analysis.</li><li>Ensure effective deployment of control plans and support supplier development and management to meet quality expectations for NPI shipments.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Electrical, Mechanical Engineering, or a related field.</li><li>Min 4 years experience in advanced quality</li><li>Proven quality control experience in cable assemblies, connectors, sockets, or related industries.</li><li>Strong understanding of ISO 9001 and APQP procedures.</li><li>Familiarity with EIA-364 test methods and internal/external auditing practices.</li><li>Knowledge of Model-Based Definition (MBD) and GD&amp;T requirements.</li><li>Proficient in Root Cause Analysis (8D, Fishbone, 5 Whys).</li><li>Skilled in Risk Management (DFMEA/PFMEA), Process Capability (Cp, Cpk, Pp, Ppk), and Tolerance Stack-Up Analysis.</li><li>Experienced in Design of Experiments (DOE) and Six Sigma methodologies (Black Belt preferred).</li><li>Competent in data analytics and visualization tools (Power BI, Tableau, Python/R).</li><li>Skilled in statistical software such as Minitab and JMP.</li><li>Strong organizational and strategic planning abilities.</li><li>Effective communicator with excellent written and verbal English skills.</li><li>Ability to mentor junior engineers and lead cross-functional teams.</li><li>Demonstrated capability in change management and driving continuous improvement.</li><li>Strong interpersonal skills for conflict resolution and stakeholder negotiation.</li><li>Committed to delivering high-quality solutions aligned with customer expectations and business strategy.</li></ul>

Responsibilities: <ul><li>Lead UPW/WWT system design for construction projects across the region</li><li>Drive alignment of O&amp;M practices across all sites</li><li>Lead cross-functional teams to improve reliability and reduce variation</li><li>Review and optimize PM and predictive maintenance programs</li><li>Provide technical leadership during system failures or major incidents</li><li>Conduct hydraulic and hydrologic analyses using engineering software.</li><li>Review and approve technical deliverables to ensure accuracy and quality.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Chemical/Mechanical Engineering or equivalent</li><li>10–12+ years of UPW/WWT engineering experience</li><li>Must Have Technical Skills</li><li>Deep expertise in UPW/WWT system design and operations</li><li>Strong capability in SPC, reliability engineering, and process optimization</li><li>Experience in large-scale facility systems and construction integration</li><li>Performance benchmarking and data-driven decision making</li></ul>

Responsibilities: <ul><li>Lead global standardization of Chemical and Slurry systems across manufacturing sites.</li><li>Act as Subject Matter Expert guiding engineering decisions and system architecture.</li><li>Drive technology roadmaps and long-term system strategies.</li><li>Lead design reviews, risk assessments, and engineering validation activities.</li><li>Provide technical oversight for complex facilities expansion projects.</li><li>Collaborate across global teams to ensure alignment and execution excellence.</li></ul> Requirements: <ul><li>Bachelor’s Degree in relevant engineering discipline.</li><li>Minimum 15+ years of semiconductor/facilities experience.</li><li>Advanced expertise in Chemical systems design and operation.</li><li>Strong background in slurry delivery, chemical distribution, and safety compliance.</li><li>Experience in system integration, process optimization, and reliability engineering.</li><li>Knowledge of construction and project lifecycle management.</li></ul>

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118 iot cloud principal engineer Jobs found

Lead Quality Automation Engineer

BI & Data Manager

Data Security Engineer - Cyber Security (VP1)

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

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118 iot cloud principal engineer Jobs found

Lead Quality Automation Engineer

BI & Data Manager

Data Security Engineer - Cyber Security (VP1)

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

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

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