Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Customer Service Manager

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Staff MFG and DVL Engineer

Responsibilities: <ul><li>Systematic expansion of market share and revenue, as well as the acquisition of new customers for the entire shopping basket.</li><li>Managing existing customers in your sales territory with the goal of securing and expanding the business and ensuring customer satisfaction</li><li>Systematic acquisition of new customers with a focus on customers and projects in the commercial and institutional building &amp; utility sector.</li><li>Offer follow-up and support in the preparation and implementation of projects with our partner companies and key customers</li><li>Conducting market, trend and customer analysis as well as ongoing market monitoring.</li><li>You will regularly and independently maintain and document relevant customer and project data in the respective CRM systems.</li><li>Sales and profit responsibility for customers in your sales territory&nbsp;</li><li>Contract negotiations and discussions on terms and conditions, or the corresponding preparation, taking into account internal process and company guidelines.</li></ul> Requirements: <ul><li>Completed electrical engineering training (e.g., apprenticeship, studies in electrical engineering, electrical engineering technician or master craftsman)</li><li>Professional experience in sales (selling products requiring explanation)</li><li>Experience in the conception and delivery of customer-oriented presentations and training sessions</li><li>Acting responsibly and independently</li><li>Business administration fundamentals</li><li>Native-level German skills are required; written and spoken English skills are an advantage.</li><li>High flexibility and willingness to travel on business</li><li>Experience or market knowledge, e.g., regarding SF6-free medium-voltage switchgear and low-voltage switchgear construction, is advantageous</li></ul>

Responsibilities: <ul><li>Perform site acceptance testing (SAT) and functional verification</li><li>Configure protection settings, communication protocols, and monitoring software.</li><li>Ensure compliance with project specs and safety standards.</li><li>Conduct preventive and corrective maintenance on LV/MV equipment.</li><li>Analyze power quality data using analyzers and software tools.</li><li>Provide on-site and remote technical support.</li><li>Maintain proper documentation and service records.</li></ul> Requirements: Qualifications:&nbsp; <ul><li>Minimum MBO Electrical Engineering or an education in another technical field&nbsp;</li><li>Work experience with UPS in a data center environment is an advantage&nbsp;</li><li>Has electrical engineering knowledge&nbsp;</li><li>Knowledge of procedures, regulations, safety, quality and environmental aspects&nbsp;</li><li>Safety VCA basic, NEN3140, or VCA full (is a plus)&nbsp;</li></ul> Skills:&nbsp; <ul><li>Has good communication skills and is proficient in spoken and written Dutch and English&nbsp;</li><li>You have no problem traveling within and outside the Netherlands (Benelux).&nbsp;</li><li>Can convince and bind people through enthusiasm and knowledge as well as&nbsp;</li><li>good communication&nbsp;</li><li>Willing to perform on-call duties and work irregular hours.&nbsp;</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>

Role Description: <ul><li>As a Manager in Solution Center, you will be at the forefront of driving transformational strategies focused on creating exceptional customer experiences.</li><li>Your leadership will be pivotal in establishing our brand as the preferred supplier by fostering strong customer relationships and steering your team towards unparalleled service excellence and growth</li></ul> Responsibilities: <ul><li>Lead with Accountability: Spearhead your team to achieve specific departmental goals, focusing on delivering a superior Customer Experience.</li><li>Cultivate Customer Relationships: Empower your team to enhance and expand customer engagement.</li><li>Talent Acquisition and Development: Recruit and nurture top talent, building a team that embodies our vision and drives organizational transformation.</li><li>Champion of Change: Lead by example in adopting transformation initiatives and fostering a culture of positive change.</li><li>Operational Excellence: Instill a mindset of continuous improvement, enhancing team efficiency and service quality.</li><li>Career Development: Offer opportunities for team growth and development, preparing them for future career advancements.</li><li>Cross-Functional Collaboration: Work seamlessly with internal partners in different BU’s, engineering, planning, and sales to ensure comprehensive customer support</li></ul> Requirements: <ul><li>Experience in a shared service environment.</li><li>Stake Holder management experience</li><li>Track record of successful change management in Customer Care.</li><li>Leadership experience in large, multi-layered teams.</li><li>8 + years in multinational Customer Care operations, with at least 5 years in a relevant role.</li><li>Effective collaboration across all organizational levels.</li><li>Industry-specific experience is advantageous.</li></ul> Skills: <ul><li>Customer-centric mindset.</li><li>Strong business acumen.</li><li>Leadership across international teams.</li><li>Servant Leadership approach.</li><li>Results-oriented with multitasking capabilities.</li><li>Agile and adaptable in driving change. Excellent communication, persuasion, and interpersonal skills.</li><li>Ability to forge strong cross-functional relationships.</li><li>Influential leadership without direct authority.</li><li>Collaborative and proactive attitude.</li></ul> Key Performance Measurements: <ul><li>Strategy, Execution, and Talent (SET) Customer Effort Score.</li><li>First Contact Resolution Efficiency/Productivity Improvement.</li><li>Employee Engagement.&nbsp;</li><li>Attrition Rates.</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>Accurately process trade finance transactions, including Letters of Credit (LC), Standby Letters of Credit (SBLC), Documentary Collections, and Trade Loans.</li><li>Ensure timely and accurate execution of trade finance transactions, adhering to internal policies and regulatory requirements.</li><li>Verify trade documents for completeness and compliance with UCP 600, ISBP, and other relevant trade finance govering rules and regulations.</li><li>Liaise with counterparties and internal stakeholders to address inquiries and resolve issues related to trade finance transactions.</li><li>Maintain accurate records of all trade finance transactions and activities, daily reconcilaition.</li><li>Assist in resolving operational issues and ensuring seamless trade finance operations.</li></ul> Requirements: <ul><li>Minimum 3 years of Trade Finance Operations experience.</li><li>Sound knowledge in International Trade Governing Rules of UCP, ISBP, URC, URR, Incoterms.</li><li>Familitarity with AML/CFT Guidelines for Trade Finance.</li><li>Meticulous and possess a keen eye for details.</li><li>Strong analytical, problem-solving, follow-up and communications skills.</li><li>Able to work independently and a strong team player.</li><li>Proficient in Microsoft Office applications.</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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148 facilities engineering specialist Jobs found

Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Customer Service Manager

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Staff MFG and DVL Engineer

WhiteCrow
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Skills

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148 facilities engineering specialist Jobs found

Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Customer Service Manager

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Staff MFG and DVL Engineer

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.