Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

Responsibilities: <ul><li>Develop and execute purchase orders for raw materials, packaging components, consumables, and services in accordance with approved supplier lists and site requirements.</li><li>Maintain optimal inventory levels by balancing material availability with cost-effective order quantities.</li><li>Collaborate with Production Planning and Supply Chain to align material purchases with manufacturing schedules.</li><li>Participate and represent the site in the routine S&amp;OP meeting.</li><li>Monitor supplier performance, including on-time delivery, quality, and responsiveness, and drive corrective actions as needed.</li><li>Negotiate pricing, terms, and contracts with suppliers to achieve cost savings and value-added agreements.</li><li>Maintain accurate purchasing and planning data in the ERP system, ensuring alignment with master data and inventory control requirements.</li><li>Identify and qualify alternative suppliers to mitigate supply risks and ensure business continuity.</li><li>Coordinate with Quality Assurance and Quality Control to ensure incoming materials meet specifications and quality standards.</li><li>Support new product introduction by sourcing and securing materials in alignment with project timelines.</li><li>Generate and track Production Orders through release to ensure on time, in full deliveries to customers.</li><li>Track and report key procurement and planning metrics, such as supplier on-time delivery, inventory turns, and purchase price variance.</li><li>Ensure compliance with all cGMP, DEA, and regulatory requirements for the procurement and handling of controlled substances and high potent materials.</li><li>Participate in cross-functional process improvement initiatives to enhance supply chain efficiency and reliability</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain Management, Business Administration, or related field preferred; equivalent work experience considered.</li><li>Minimum of 3 years of procurement, planning, or supply chain experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience with controlled substances, high potent APIs, and regulated material handling preferred.</li><li>Strong knowledge of ERP/MRP systems, purchasing processes, and inventory control principles.</li><li>Familiarity with cGMP, DEA, and FDA requirements related to materials management.</li></ul>

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>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>

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>

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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Location

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121 communications systems Jobs found

Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

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Skills

Industry

Location

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121 communications systems Jobs found

Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Sr Financial Planning & Analysis

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Sourcing Support - Master Data

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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JOBS BY LOCATIONS

MODEL JOBS

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