Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Sr. Solution Account Manager Data Center

Responsibilities: <ul><li>Responsibility for revenue growth and the implementation of the profit plan (end-to-end)</li><li>Defining and implementing strategic initiatives for growth, while staying informed about industry trends and market activities and working closely with the countrys sales organizations (CSO).</li><li>Developing existing customers by building and maintaining relationships with key decision-makers, understanding their needs, and providing tailored solutions.</li><li>Identifying and promoting new business opportunities in the region, including product development needs</li><li>Fostering partnerships with a strong focus on customer engagement / meetings / events</li><li>Close collaboration with the product line and operational teams to achieve sales targets and strategic initiatives.</li><li>Implementation and management of customer/CSO pricing strategies</li><li>Adoption and implementation of our client standard processes (e.g., Salesforce and Pipeline CRM tools)</li></ul> Requirements:&nbsp; Qualifications and Skills: <ul><li>Bachelors degree (business or preferably technical) or equivalent qualification expected&nbsp;</li><li>Extensive experience in the commercial emergency lighting market or in a similar industry</li><li>Commercial experience in dealing with major clients, EGH, etc.</li><li>Good knowledge of the technical solutions and standards for emergency lighting</li><li>Proven success in customer engagement / customer satisfaction</li><li>Analytical thinking skills; their actions meet the highest ethical standards.</li><li>Structured and goal-oriented work method</li><li>Convincing negotiation skills, coordination skills</li><li>Excellent oral and written communication skills in German and English.</li><li>They are a team player and at the same time able to plan and implement their own work initiatives.</li><li>Good presentation skills</li></ul>&nbsp;

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>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: <ul><li>Secure sales volume to meet or exceed the sales budget in the data centre vertical.&nbsp;</li><li>Spec-in company solution through active engagement with a consultant, EPC’s &amp; SI’s.&nbsp;</li><li>Provide quote and application solutions to potential customers with timely and high-quality service.&nbsp;</li><li>Manage and improve sales funnel/CRM with a good win ratio. Develop monthly sales forecasts.&nbsp;</li><li>Initiate a weekly plan for specified verticals or territories.&nbsp;&nbsp;</li><li>Educate and engage customers with new products/solutions/programs.</li><li>Effectively manage existing and new accounts to consistently improve market share in India.&nbsp;</li></ul> Requirements: <ul><li>Education – Degree in Electronics/Electrical/Computer Science Engineering with a minimum of 8-12 years of experience in related technical sales.&nbsp;&nbsp;</li><li>Markets – Should have experience in building Data Centres in new makets.&nbsp;</li><li>Familiar with structure cable and connectivity products.&nbsp;&nbsp;</li><li>Customers Define our Success – Results-oriented with a process mindset.&nbsp;</li><li>Excellent interpersonal and communication skills with strong ownership.&nbsp;</li><li>Willing to dedicate extra time and travel to meet objectives.&nbsp;&nbsp;</li></ul>

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Jobtitle

145 technical architecture Jobs found

Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Sr. Solution Account Manager Data Center

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Skills

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145 technical architecture Jobs found

Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Senior Product Analyst

Sr. Solution Account Manager Data Center

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.