Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior Software Engineer

Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

Role Description: <ul><li>Lead Field Service Engineer – Power Distribution Location: Spain Region Covered: EMEA Work Model: Hybrid / Field-based Travel: Up to ~50% across Europe</li><li>Role Overview We are hiring a senior Lead Field Service Engineer with deep technical expertise in Medium Voltage (MV) power distribution and switchgear systems.</li><li>This is a technical lead role supporting large-scale data center and critical infrastructure projects across Europe.</li><li>This is not a people management role, but a technical authority position supporting and guiding other field engineers on complex installations and commissioning activities. Required Technical Experience.</li><li>Strong hands-on experience with Medium Voltage switchgear and distribution systems.</li><li>MV mechanical installation and commissioning experience.</li><li>Experience with MV testing and commissioning tools (e.g., Omicron, Megger, T&amp;R, Fluke or similar) Protection relay and control scheme testing knowledge.</li><li>Experience creating SAT test plans and commissioning procedures.</li><li>Ability to interpret electrical drawings and protection schemes.</li><li>Experience with interlocking, inter-tripping, blocking, and I/O testing.</li><li>Background in data center, critical power, or large industrial electrical projects.</li></ul> Responsibilities: <ul><li>Lead installation, commissioning, testing, and maintenance of MV power distribution and switchgear equipment.</li><li>Execute site acceptance testing (SAT) and commissioning test plans.</li><li>Perform MV electrical testing and functional verification.</li><li>Act as primary technical point of contact during project execution.</li><li>Support and guide field service engineers on complex technical issues.</li><li>Review drawings, schemes, and specifications and flag gaps or risks.</li><li>Prepare RAMS (risk assessments and method statements).</li><li>Ensure strict adherence to electrical safety and LOTO procedures.</li><li>Support project managers to ensure delivery within timelines.</li><li>Interface with customers during installation and commissioning phases.</li><li>Deliver technical demonstrations and customer witness testing.</li></ul> Requirements: Preferred Qualifications: <ul><li>Electrical Engineering qualification or equivalent experience.</li><li>Typically 10+ years of relevant field service / commissioning experience Skills &amp; Competencies.</li><li>Strong troubleshooting and decision-making ability.</li><li>Technical leadership mindset</li><li>High safety awareness culture.</li><li>Strong customer-facing communication skills.</li><li>Ability to work independently on complex sites Willingness to travel extensively across EMEA Language.</li><li>English — required&nbsp;</li><li>Spanish — preferred but not mandatory</li></ul>

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>

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>

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>

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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113 principal software engineer mobile react Jobs found

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior Software Engineer

Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

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113 principal software engineer mobile react Jobs found

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior Software Engineer

Senior AI Engineer

Data Engineer

Staff MFG and DVL Engineer

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

EMPLOYER

TALENT

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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.