Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Role Description: <ul><li>Sr. Manager is a senior engineering leader for high-speed PCB Design and Simulations.</li><li>They lead teams in designing, simulating, and validating high-performance high speed printed circuit boards for AI and Datacentre applications ensuring quality, performance, and manufacturability through strategic planning, technical guidance, and collaboration across cross-functional teams.</li><li>Responsibilities include team development, design and simulation strategy, project management, and continuous process improvement to meet deadlines, budget targets, and project performance goals.</li></ul> Responsibilities:&nbsp; <ul><li>Team Leadership &amp; Development: Lead, mentor, and develop teams of high-speed PCB design and simulation managers and engineers, focusing on their career growth and skill development.</li><li>Strategic Design and Simulation: Define and implement high speed design and simulation roadmaps, methodologies and best practices for signal integrity, power integrity, electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal analysis.</li><li>Cross-Functional Collaboration: Work closely with hardware, firmware, mechanical, and manufacturing teams to translate requirements into viable designs and resolve issues.</li><li>Project &amp; Resource Management: Oversee the management of multiple complex PCB design and simulation projects, ensuring they meet deadlines, budget requirements, and performance targets.</li><li>Technical Oversight: Provide technical guidance on PCB layout, schematic creation, and component selection, staying current with new technologies and design standards.</li><li>Design review and verifications: Conduct design and simulation reviews, providing strategic recommendations to optimize PCB performance and reliability.</li><li>Continuous improvement: Drive innovation and improvement in high-speed PCB design and simulation process. Stay current with emerging technologies, design standards (e.g. IPC), and simulation tools to enhance efficiency and maintain a competitive edge.</li><li>Quality and Validation: lead and drive accuracy in design and simulations, conduct design of experiments (DoE), plausibility check and sensitivity study of simulations, validate simulation results with experimental data, and design optimizations for first time right manufacturability (prototypes and mass production).</li></ul> Requirements: Candidate Desired Profile: <ul><li>Education: A bachelor’s degree in electrical or electronics engineering from a premier institute/university.</li><li>A master’s degree in a must</li><li>Experience: 17+ yrs extensive hands-on experience in high-speed PCB design and simulation with a proven track record of delivering complex projects.&nbsp;</li><li>Leadership: 8-10 years progressive leadership or management experience in leading and developing high-performing engineering teams. Experience in customer engagement and stakeholder management is essential.</li></ul> Technical Skills: <ul><li>Deep understanding of engineering principles for high-speed PCB design, signal integrity (SI), power integrity (PI), electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal incidents.</li><li>Deep understanding of PCB layout, schematic creation, routing, and manufacturability.&nbsp;</li><li>Expertise in high-speed PCB design tools such as Altium Designer, Allegro or PADS.&nbsp;</li><li>Expertise in high-speed PCB simulation tools for electrical and thermal analysis - Ansys SIwave/HFSS, Keysight Pathwave ADS, Keysight SIPro, Siemens HyperLyx, Cadence Sigrity, Dassault CST Studio Suite, Ansys EMC Plus, Cadence Microwave Office, and Ansys ICEPAK/Siemens FLOTHERM/Cadence CELSIUS.</li><li>Strong knowledge of industry standards (IPC, JEDEC, PCIe, USB, Ethernet) and PCB manufacturing processes, including design for manufacturability (DFM).&nbsp;</li></ul> Soft Skills: <ul><li>Proven abilities on inspiring leadership, team management, prioritisation, strategy and execution.</li><li>Experience in organizational development, and talent attraction/management/retention.</li><li>Promote and manage employee wellbeing and work-life balance.</li><li>Passion for Technology and scientific/engineering excellence.</li><li>Excellent problem-solving and analytical skills to resolve complex technical issues.</li><li>Strong in Technical Documentations, Report preparation and presentation</li><li>Strong verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.</li><li>Ability to work effectively in a fast-paced, collaborative global environment and global time zones.</li><li>Proficient using MS office software (Word, Excel, PPT, Outlook, MS Teams, etc.).</li></ul> What Your Background Should Look Like <ul><li>Generally requires Bachelors degree in appropriate field with 12 or more years of experience; or Masters with 10 or more years of experience; or PhD level with 6 or more years of experience; or local equivalent</li></ul>

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>

Overview: <ul><li>ICT has ambitious growth plans for our technology-based propositions and seeks a Technology Sales Director (m/f/d) to drive the accomplishment of these plans. In this role, you will actively seek, develop, and close new business opportunities to achieve our technology sales goals in the P&amp;C and Life insurance markets.</li><li>The role holder will be a senior colleague responsible for driving revenue growth in the North Central and Eastern European division through strategic technology sales pursuits, partnerships, and client engagement.&nbsp;</li></ul> Responsibilities: Your main areas of focus will be: <ul><li>Engage as a market-maker across NCEE focussed on large and strategic technology opportunities in which you will work collaboratively with regional, divisional and local consulting teams to help seek, develop, and close new sales pursuits</li><li>Take accountability for client retention and actively collaborate with client relationship managers.</li><li>Develop and maintain C-suite and procurement relationships, especially CTO/CIOs within select technology clients</li><li>Support and mentor fellow consultants, other technology sales colleagues, and regional proposition teams to help achieve ICT’s overall growth plans within the EMEA region</li></ul> Pipeline and Sales: <ul><li>Develop and manage a qualified pipeline through seeking out prospects, calling on potential clients and building upon existing client relationships</li><li>Identify and conduct initial triage of client needs, and develop ideas for meeting those needs, presenting information on our client capabilities, strategically cross-selling ICT and other our client businesses solutions aligned with client needs and introducing subject matter experts, as required, to win the business</li><li>Promote our client as a leader in the market with superior industry knowledge, insights, and solutions</li><li>Design and lead execution of go-to-market sales strategies and campaigns focused on new and existing clients</li><li>Engage directly with prospects to showcase our client capabilities and provide customized solutions that address their unique challenges</li><li>Collaborate with marketing and proposition leadership to create sales messages, product collateral, and increase overall market awareness</li><li>Obtain referral leads from existing clients</li><li>Identify and pursue cross- and upselling opportunities</li><li>Develop new relationships with individuals responsible for making or influencing decisions in areas relevant to our solutions</li></ul> Client Management: <ul><li>Take accountability for client retention and the development of C-suite relationships with select technology clients</li><li>Maintain consistent/high quality touch points by phone and face to face with prospects and clients.</li><li>Participate in client relationship stewardship and planning meetings</li><li>Support Client Management teams in identifying and closing opportunities</li><li>Act as a client relationship manager to select technology clients</li><li>Foster relationships with client C-suite and decision makers in areas relevant to our solutions</li></ul> People: <ul><li>Collaborate with other technology sales colleagues with regards to technology sales activities and complement the consultants go-to-market effort from a technology sales perspective&nbsp;</li><li>Help to identify and develop/mentor future technology sales talent</li></ul> Technology Product Development and Strategy: <ul><li>Work with consultants, other technology sales colleagues, and regional and global proposition teams to:</li><li>identify current and emerging market trends and client needs</li><li>provide input into the development of new products or enhancements to current products</li><li>contribute to roadmap discussions</li><li>identify and suggest potential inorganic opportunities (acquisitions, partnerships)</li><li>develop /improve or market collateral and sales messaging</li></ul> Financial metrics: <ul><li>Meet technology annual new business revenue targets</li><li>Provide guidance and participate in sales and revenue forecasting</li><li>Participate fully in the ICT practice and the achievement of the overall ICT business plan and budget</li></ul> Requirements: <ul><li>Proven success in senior client management and/or sales roles&nbsp;</li><li>Proven track record of successful pipeline development, delivery of effective sales strategies and reputation as a client-centric sales professional</li><li>Extensive understanding of and experience in insurance underwriting, actuarial (product development, valuation, financial reporting, modelling, experience studies, assumption setting), risk (including economic capital) and finance functions and related technology</li><li>Ability to learn new technology solutions and demonstrate these solutions to clients at a high level</li><li>Meticulous and analytical, confident in problem solving and decision making</li><li>Good team player with ability to influence without authority in a matrix organisation</li><li>Ambition to help insurers succeed&nbsp;</li><li>Excellent communication (written, verbal and oral) skills and interpersonal skills and ability to forge relationships at senior levels of organisations</li><li>Ability to work in a client-centric strategic and decisive manner according to tight deadlines</li><li>Availability to travel on an as needed basis including client visits, conferences, internal meetings, etc.</li><li>Minimum of 10 years of industry experience</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</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>

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101 design modification Jobs found

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

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101 design modification Jobs found

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

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

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