5 tööpakkumist leitud

Arbeiten bei SEEPEX ist mehr als nur ein Job. SEEPEX - Das sind über 800 engagierte Mitarbeiter, die unser Unternehmen zu einem weltweit führenden Spezialisten im Bereich der Pumpentechnologie gemacht haben. Mit unseren Exzenterschneckenpumpen, Maceratoren und Steuerungssystemen bieten wir unseren Kunden innovative Lösungen und herausragende Produkte. Die Digitalisierung des Maschinen- und Anlagenbaus ist dabei eines unserer wichtigsten Zukunftsthemen. Um den technologischen Wandel unserer Kunden mit modernen, intelligenten Lösungen zu begleiten, entwickeln wir in agiler und kreativer Umgebung neue digitale Produkte und Dienstleistungen. Zur Verstärkung unseres interdisziplinären R&D Teams suchen wir Sie als Entwicklungsingenieur Sensorik und Sensorsysteme Industrie 4.0 (m/w/d) Ihre Aufgabe Sie entwickeln intelligente Sensorik zur Zustandsüberwachung unserer Pumpen und Systeme Sie erarbeiten technische Lösungen für Sensorsysteme aus grundlegenden physikalischen Messprinzipien und elektrotechnischen Konzepten Sie koordinieren die experimentellen Tests und gestalten die Konzeptionierung der Versuchsaufbauten und -abläufe Sie gehen daten- und modellbasiert vor, um die Ergebnisse eigener sowie externer Forschung und Entwicklung in marktgerechte Produkte zu überführen Sie bringen die Sensorsysteme als (Teil-)Projektleiter von der Idee über die Prototypen bis zur Serienreife Sie verfolgen Marktentwicklungen und identifizieren Produkt- und Technologietrends Die Anforderung Sie haben ein Masterstudium oder eine Promotion mit Schwerpunkt Elektrotechnik, Mechatronik o.ä. erfolgreich abgeschlossen Sie verfügen idealerweise über Berufserfahrung, bevorzugt in der experimentellen Entwicklung von industriellen Sensorsystemen und/oder Lösungen zur Zustandsüberwachung Sie bringen sehr gute Kenntnisse physikalischer Messprinzipien sowie elektrotechnischer Messtechnik und deren Anwendungen mit Sie verfügen über Kenntnisse zur Automatisierung von Prüfeinrichtungen Sie haben gute Kenntnisse skriptbasierter Programmiersprachen (z.B. Python) zur Datenanalyse und -visualisierung Sie besitzen sehr gute Kommunikationsfähigkeiten in Deutsch und Englisch Sie bringen eine lösungsorientierte und analytische Arbeitsweise sowie eine ausgeprägte Teamfähigkeit mit Unser Angebot Wir ermöglichen Ihnen eine verantwortungsvolle Tätigkeit in einem Unternehmen mit kurzen Entscheidungswegen verbunden mit den spannenden Herausforderungen in einem international geprägten Arbeitsumfeld Wir bieten eine intensive, auf Ihre Vorkenntnisse aufbauende Einarbeitung Wir bilden Sie weiter, um Ihre Entwicklungspotenziale optimal auszuschöpfen Wir sind ein erfolgreiches Unternehmen, das von Transparenz geprägt ist Wir bieten Ihnen ein attraktives Gehalt sowie einen modern ausgestatteten Arbeitsplatz Sind Sie interessiert? Dann bewerben Sie sich über das SEEPEX-Karriere-Portal. Wir freuen uns auf Ihre Bewerbungsunterlagen inklusive Anschreiben, tabellarischem Lebenslauf, Zeugnissen, Gehaltsvorstellung und Verfügbarkeit.

Brenntag is the global market leader in full-line chemical distribution. Headquartered in Essen, Germany, the company operates a global network with more than 580 locations in 73 countries. With its global workforce of more than 16,600 employees, the company generated sales of EUR 12.6 Billion in 2018. Our team currently has an opening for a Data Steward - Master Data Management (m/f/d) Brenntag is launching a European wide strategic Business project, which will bring a step change for the European region. The project is about alignment between IT and business requirements as well as coordination across multiple organizations and is paramount for the future performance in the region. The project will enhance efficiency, drive organic growth, upgrade the IT landscape, and will increase digital readiness. Brenntag will form a team of business and IT experts from the various business areas and Brenntag EMEA regions. This team will design and create a new, modern landscape of harmonized, EMEA-wide business processes. The project will also include the implementation of one EMEA-wide ERP system on the newest SAP S4/HANA version. Are you motivated to play an essential role in shaping Brenntag EMEA’s future? Your tasks Be part of the Business & IT team of the Master Data Project in close cooperation with external advisors Define and implement EMEA master data dovernance model and central end-to-end processes related to SAP MDG in Close collaboration with Business and functional units Support the implementation of the system processes in SAP S4/HANA and the consolidation of existing legacy ERP systems (SAP and non-SAP) into one SAP S/4HANA System Support in design, Definition, and roll-out of EMEA wide harmonized master data Assure that the project goals are met in terms of quality, budget, and defined timeframe Coordinate and monitor the overall work progress and use of resources, initiate corrective action when necessary, and provide regular status updates to the Program Management Synchronize the involvement and input from the EMEA regions Create the relevant documentation (process description, flow charts, test cases, user handbook, etc.) Your profile Bachelor’s degree or similar level of education Minimum of 5 years work experience with at least one SAP implementation project in a leading position Good knowledge and expertise in SAP MDG (on HANA) and SAP S/4HANA, and a good understanding of the underlying business- and SAP S/4 processes Demonstrated abilities to work collaboratively in international and interdisciplinary teams Capability and motivation to take the initiative and drive changes within the organization Analytical, structured, and solution-oriented working style Strong awareness for quality, costs, and details Fluent in English (verbally and in writing) and strong communication skills Knowledge of agile methods is a plus Willingness and flexibility to travel (approx. 10% - 20%) Our offer We offer you challenging and varied tasks in an exciting work environment. In addition to performance-based remuneration, you can expect comprehensive social benefits, such as holiday pay, a Christmas bonus, a company pension, an employees saving scheme etc. as well as the security of a large company. Furthermore, we offer you attractive personal retirement plans. Interest? Then we would like to get to know you - Angelika Rester is looking forward to your informative online application, indicating the earliest date you could start and your salary expectations. You will find more information on Brenntag AG at www.brenntag.com.

You...  are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team you are interested in big machines You should bring...  Very good Python or R skills 2 years experience in at least one of the following languages: Python, R, SQL, Scala Good experience in at least two well-known open source data science frameworks Advantages (but not required) would be...  Machine Learning; Clustering, NN, Regression, BDT, ARIMA Deep Learning; natural language, ANN, RNNs Timeseries DB, NoSQL, SQL Microservice architecture Container-technology (Docker) Azure, AWS or GCP Agile Methods / Product development Gitlab Linux-Shell We want you to feel comfortable...  Attractive working atmosphere with all-round service Free choice of working environment (Linux, Windows or Mac) Individual training, conferences, coding sessions Flexible working hours Cool cutting-edge projects with leading international industry partners Industry oriented salary What you can expect...  We are building the next generation of data analysis for mining machinery. Whether above or below ground: our products analyze and control the largest machines in the world. Develop the future of mining together with engineers, data scientists and IT specialists

You...  are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team are keen to work in a data-driven company where data science is our core product you are interested in big machines You should bring...  at least two years of experience in building data pipelines in a production environment extensive knowledge in data architecture and database concepts proficiency in Python and experience in professional software development a graduate degree in a quantitative field a keen desire to learn, a self-starter attitude and the ability to thrive in an interdisciplinary and diverse environment Advantages (but not required) would be...  experience with big data and distributed systems familiarity with machine learning, time series and deep learning algorithms for machine sensor data experience in microservice architecture, agile methods, DevOps tools (GitLab), container technology (Docker), cloud computing (Azure) We want you to feel comfortable...  attractive working atmosphere with all-round service free choice of working environment (Linux, Windows or Mac) individual training, conferences, coding sessions flexible working hours cool cutting-edge projects with leading international industry partners industry oriented salary A unique opportunity is waiting for you...  We are building the next generation of data analysis for mining machinery. Whether above or below ground: our products analyze and control the largest machines in the world. Develop the future of mining together with engineers, data scientists and IT specialists.  Next steps...  Please send us your CV, cover letter and, if available, your portfolio.  We are looking forward to your application!

You...   are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team are keen to work in a data-driven company where data science is our core product you are interested in big machines You should bring...   at least three years experience of building data science models for production experience with machine learning, time series and deep learning algorithms for machine sensor data proficiency in Python and typical data science libraries full stack data science skills, from data processing to model-building and model deployment experience in professional software development a graduate degree in a quantitative field a keen desire to learn, a self-starter attitude and the ability to thrive in an interdisciplinary and diverse environment Advantages (but not required) would be...   data pipeline expertise - database concepts, container technology (Docker), cloud computing experience in microservice architecture, agile methods, DevOps tools (GitLab) We want you to feel comfortable...   attractive working atmosphere with all-round service free choice of working environment (Linux, Windows or Mac) individual training, conferences, coding sessions flexible working hours cool cutting-edge projects with leading international industry partners industry oriented salary A unique opportunity is waiting for you...   We are building the next generation of data analysis for mining machinery. Whether above or below ground: our products analyze and control the largest machines in the world. Develop the future of mining together with engineers, data scientists and IT specialists.   Next steps...   Please send us your CV, cover letter and, if available, your portfolio.   We are looking forward to your application!