Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

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>

Responsibilities: <ul><li>Oversee the daily functions of a team of 2 – 7 within the Financial Planning &amp; Analysis department</li><li>Support the establishment and maintenance of a stringent control environment that aligns with the companys established internal control framework and global policy</li><li>Lead the analysis intricate financial data, extract essential insights, and assess the company’s financial performance, including revenues, margins, expenses, and capital expenditures</li><li>Collaborate with various departments to collect relevant financial data, set consistent reporting standards, and ensure a unified understanding of key financial metrics across the organization</li><li>Conduct financial variance analyses and deliver detailed interpretations to assist the management team in making informed decisions</li><li>Prepare presentation materials for board meetings and investor relations, ensuring clarity, consistency, and relevance of data in all communications</li><li>Engage in special projects requiring financial analysis or input, and take on additional reporting responsibilities as needed, showcasing initiative and a willingness to go beyond routine tasks</li><li>Delegate the recording of transactions associated with capital projects to maintain comprehensive records for future reference and analysis</li><li>Evaluate project progress and funds invested to assess alignment with financial goals and project timelines</li><li>Compare actual expenditures to budget to ensure financial discipline and accountability throughout the project lifecycle</li><li>Observe and track significant funds invested in long-term projects to identify trends and inform future investment decisions</li><li>Prepare presentations to Finance leadership on the status of projects to ensure alignment with organizational financial strategies</li><li>Observe and track significant funds invested in long-term projects to identify trends and inform future investment decisions</li><li>Train, mentor, and assess the performance of Financial Planning &amp; Analysis staff</li><li>Foster and maintain strong relationships with team members and other internal stakeholders</li></ul> Requirements: <ul><li>Bachelor’s degree in Finance, Accounting, Business Administration, or a related field</li><li>4 – 7 years of relevant experience in management reporting, capital planning, or financial management</li><li>Highly detail-oriented with the ability to work under tight deadlines in a high-volume, fast-paced team environment</li><li>Strong leadership and communication skills</li><li>Fast learner of technology and coachable</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>

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>

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147 aci structural design standards Jobs found

Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

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Skills

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147 aci structural design standards Jobs found

Business Development Manager Notbeleuchtung

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Business Process Manager – Supply Chain Management

Technology Sales Director Paris

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

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

EMPLOYER

TALENT

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Contact Us

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