Asst Area Sales Manager

Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

Role Description: <ul><li>The Area Sales &amp; Business Development Manager Congo will be responsible for managing sales operations within a specific geographical region, focusing on building relationships with distributors, retailers, and users to achieve sales targets and grow business within the Congolese market.</li></ul> Responsibilities: <ul><li>Delivering sales targets within assigned territory by driving the core business and identifying new business opportunities.</li><li>Responsible for demand generation of key products through relevant user marketing to achieve desired results.&nbsp;</li><li>Managing relationships with importers, important wholesale &amp; retail outlets &amp; potential influencers.&nbsp;</li><li>Ensure timely Primary Order collection and maintaining commercial hygiene, pricing for country.</li><li>Support leadership to drive the BTL objectives aligned for the said cluster/ region. In addition, conduct monthly business reviews with local team against the said BTL target and prepare way forward plans with distributors, local teams with proper maintenance of data base for sales &amp; demand generation for focused products as applicable.</li><li>Working regularly in the market and providing insights basis product usage, competitor information and charting a proper plan to address the same.&nbsp;</li><li>Ensuring timely submission of claims with proper documentation as applicable to the categories in the country.</li></ul> Requirements: <ul><li>Candidates with Min 3 Years experience in Managerial Sales or User Marketing roles.</li><li>Should be well versed with the local language (Lingala), French and English.</li><li>Candidates from Paints &amp; Hardware, Adhesives, Construction Chemical and Building Materials will be preferred.</li><li>Graduate from a recognized university.</li></ul> Location: <ul><li>Kinshasa:Should be well versed with local language- Lingala besides French &amp; English</li><li class="ql-align-justify">Lubumbashi: Should be well versed with local language- Swahili besides French &amp; English</li></ul>

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>

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>

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Location

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116 dust collection systems Jobs found

Asst Area Sales Manager

Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

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116 dust collection systems Jobs found

Asst Area Sales Manager

Buyer/Planner

Lead Field Service Engineer - Power Generation

Sales Representative Commercial & Institutional Buildings

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Staff MFG and DVL Engineer

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

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TALENT

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Contact Us

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