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Atos SE (Societas Europaea) ist ein führender Anbieter von digitalen Services mit einem Pro-forma-Jahresumsatz für 2015 von rund 12 Milliarden Euro und circa 100.000 Mitarbeitern in 72 Ländern. Das Unternehmen bietet seinem globalen Kundenstamm Beratungsleistungen und Systemintegration, Managed Services & Business Process Outsourcing (BPO), Cloud Operations, Big Data und Sicherheitslösungen sowie transaktionsbasierte Services durch Worldline, den europäischen Marktführer für Zahlungs- und Transaktionsdienstleistungen. Mit seiner umfassenden Technologie-Expertise und tiefgreifendem Branchenwissen unterstützt der IT-Dienstleister Kunden in folgenden Marktsegmenten: Verteidigung, Finanzdienstleistungen und Gesundheitswesen, produzierendes Gewerbe, Medien und Versorgungsunternehmen, Öffentliche Verwaltung, Handel, Telekommunikation und Transport. Aufgaben Wir suchen an unseren bundesweiten Standorten Big Data Engineers (m/w) im Bereich BI / Big Data (non SAP) Als Big Data Engineer sind Sie spezialisiert auf eine oder mehrere Big Data Plattformlandschaften (Exadata, Teradata, Hadoop Ecosystem oder vgl.). Insbesondere sind Sie Fachmann für die Analyse von sehr großen und heterogenen Datenbeständen. Weitere Aufgaben: Auf Basis bestehender Vorgehensmodelle werden im Team mit Fachexperten eigenständig Konzeptionen erstellt, Implementierungen entwickelt, Tests durchgeführt sowie Beratungstätigkeiten hinsichtlich definierter Aufgabenstellungen eigenverantwortlich ausgeführt. Aufnahme operativer Kundenanforderungen und Erarbeitung von Lösungsvorschlägen (inkl. Datenhaltung, Datenmanagement, Prozesse, Organisation und Infrastruktur). Einschätzung und Abwägung von Lösungsmöglichkeiten und -alternativen bzgl. Performance, Realisierungsaufwand und Kosten. Erstellung von Spezifikationen für Teilbereiche anspruchsvoller Big Data Anwendungen on Premise oder in der Atos Cloud. Verantwortliche Umsetzung von Komponenten einer Big Data Lösung (Data Ingestion, Storage, Analytics ...). Eigenverantwortliche Übernahme der technischen Leitung von (Teil-) Projekten und fachliche Steuerung von mehreren Beratern und Entwicklern des Projektteams. Leitende Funktion bei der Durchführung von Qualitätssicherungsmaßnahmen und Kundenabnahmen auf Basis vordefinierter und eigenständig mit dem Kunden abgestimmter Testpläne für die verantworteten Gewerke. Vorbereitung und Durchführung von Präsentationen zu kundenorientierten Lösungsansätzen. Vorbereitung und Durchführung von lösungsspezifischen Schulungen für unsere Kunden für den Einsatz und den Betrieb der entwickelten Big Data-Lösungen vor Ort. Erstellen der erforderlichen Dokumentation im Rahmen der Projektaufgabe. Maßgebliche Mitarbeit bei der Entwicklung innovativer, anspruchsvoller Fachthemen (z.B. Evaluierung von Open Source Plattformen als künftige Produktalternativen) sowie Aubau von Showcases und Proof of Concepts (alle non-SAP BI Plattformen, Big Data Ecosystems, Data Mining Toolsets). Unterstützung der Kollegen und des Vertriebs bei der Akquisition neuer Projekte und verantwortliche Zuarbeit der fachlichen Teile bei der Erstellung von Angeboten. Aktiv betriebener eigener Wissensaufbau. Sie repräsentieren das Unternehmen auf der IT- und Fachbereichsebene unserer Kunden im Portfolio Big Data, Business Intelligence sowie Industry 4.0. Anforderungen Ein Big Data Engineer arbeitet selbstständig und technisch-fachlich orientiert im Team mit erfahrenen Consultants zusammen und unterstützt vor Ort beim Kunden in allen Projektphasen. Sie verfügen über ein abgeschlossenes Studium (Bachelor) oder eine abgeschlossene 3-jährige Berufsausbildung möglichst Richtung Fachberater integrierte Systeme oder Fachberater Softwaretechnik und bereits mehrjährige Berufserfahrung sowie erste Fachkenntnisse in Big Data-Anwendungen. Wir erwarten insbesondere die Fähigkeit, sich weitgehend selbstständig in neue Themengebiete und Produktfelder einarbeiten zu können. Analysefähigkeit, Ergebnisorientierung, Kommunikationsfähigkeit, Arbeiten im Netzwerk, Teamfähigkeit, Selbstmotivation und Begeisterung sowie Kundenorientierung sind weitere wichtige Voraussetzungen. Atos unterscheidet nicht zwischen Herkunft, Religion, Farbe, Geschlecht, Alter, Behinderung oder sexueller Orientierung. Alle Entscheidungen während des gesamten Rekrutierungsprozesses beruhen ausschließlich auf den Qualifikationen, Fähigkeiten, Kenntnissen und Erfahrungen sowie relevanten Geschäftsanforderungen. Bei gleicher Qualifikation werden schwerbehinderte Bewerberinnen und Bewerber und diesen gleichgestellte Menschen bevorzugt berücksichtigt. Bitte beachten Sie, dass nur vollständige Bewerbungsunterlagen (inkl. Anschreiben, Lebenslauf und Zeugnisse) die über unsere Online Bewerbungsplattform bei uns eingehen, in unserem Auswahlprozess berücksichtigt werden können. Bei Fragen zu diesem Stellenangebot wenden Sie sich bitte an Frau Sabine Kreis unter der Telefonnummer +49 211 399 39004. Wir freuen uns auf Ihre Online-Bewerbung!

ORDIX® - QUALITÄT SEIT ÜBER 25 JAHREN Seit über 25 Jahren sind wir ein zuverlässiger Partner von namhaften Kunden aus dem Finanz- und Bankensektor, der Industrie und dem Handel sowie von öffentlichen Auftraggebern. Für unseren Erfolg stehen mehr als 150 Berater, Entwickler und Projektmanager. Sie konzipieren und entwickeln maßgeschneiderte IT-Lösungen, die unseren Kunden dabei helfen erfolgreich zu sein. Wir fördern den internen Meinungs- und Wissensaustausch unserer Mitarbeiter. Unser Fachwissen und unsere Praxiserfahrungen geben wir sowohl in der Projektarbeit, im Rahmen unserer Services als auch durch unsere Seminare weiter. Referenzen BIG DATA ENGINEER (W/M/D) in Paderborn, Wiesbaden, Köln oder Gersthofen. Suchen Sie sich Ihren Standort aus! IHRE AUFGABEN Sie analysieren die Anforderungen unserer Kunden Sie konzipieren und entwickeln Anwendungen unter Verwendung von NoSQL-Datenbanken und Big Data Technologien, wie z. B. Hadoop, Kafka, Cassandra oder Elasticsearch Sie integrieren neue moderne Big Data Lösungen in vorhandene Systeme Sie stellen die Qualität der Systeme durch Reviews und Tests sicher Sie evaluieren neue Tools und Frameworks Sie planen und realisieren anspruchsvolle Projekte in ganz Deutschland DAS BIETEN WIR großes Know-how-Netzwerk kreative Freiräume einen unbefristeten Arbeitsvertrag 10 Weiterbildungstage pro Jahr Gleitzeit- und Homeoffice-Möglichkeiten Reisezeit und Weiterbildung sind Arbeitszeit Überstundenausgleich durch Freizeit oder Vergütung Firmenwagen + Tankkarte auch zur privaten Nutzung 30 Tage Urlaub Altersvorsorge | VWL Mitarbeiter-Events Moderne Arbeitsplätze IHR PROFIL Mindestens 5 Jahre Berufserfahrung in der IT Erfahrung mit komplexen Softwarearchitekturen Programmierkenntnisse in Java oder Python Erfahrung mit SQL Erfahrung mit Architektur, Konzeption und Datenmodellierung Linux Kenntnisse Deutsch beherrschen Sie perfekt in Wort und Schrift, zudem verfügen Sie über gute Englischkenntnisse Bundesweite Reisebereitschaft Wissen zu teilen und der offene Dialog untereinander werden bei uns gelebt. Wir setzen auf eine kontinuierliche Weiterbildung , um Ihr Engagement zu unterstützen und Ihre Fähigkeiten zu fördern. Wir geben Ihnen die Chance, Verantwortung bei namhaften Kunden in spannenden Projekten zu übernehmen. Zusätzlich legen wir sehr viel Wert darauf, dass sich unsere Mitarbeiter in ihrem Umfeld wohlfühlen. Nur wer zufrieden mit seiner Arbeitsumgebung ist und Raum für seine Weiterentwicklung hat, kann auch sein Potential nutzen. Haben wir Sie überzeugt? Wir freuen uns auf Ihre aussagekräftige Bewerbung unter Angabe Ihres Gehaltswunsches und des frühestmöglichen Eintrittstermins. ANSPRECHPARTNERINNEN Angela Lezzi Verwaltung Nicole Mania Verwaltung Den Lebenslauf professionell erstellen lassen - kostenlos und sicher: Datenimport von XING und aus einer Word-/PDF-Datei möglich. KONTAKTADRESSE Für postalische Zusendungen: ORDIX AG Personal Karl-Schurz-Str. 19a 33100 Paderborn

Deep Learning , Data Science und NLP – alle reden darüber, bei uns steckst du mitten drin. Denn wir arbeiten am Storytelling der Zukunft: Digital, vernetzt und intelligent. Um unser hochgestecktes Ziel in den kommenden Jahren zu erreichen, verfügen wir über ein breit aufgestelltes Core Team aus den Bereichen Media, Data Science, sowie AI und Computerlinguistik. Deine Aufgaben Als Teil unseres agilen Data Science Teams löst du auf Basis von Big Data Probleme aus dem NLP und Data Science Umfeld und treibst so die Entwicklung unserer Core Products mit voran Hierzu identifizierst und aggregierst du die relevanten Daten, erstellst Modelle zur Auswertung und entwickelts Metriken zur Evaluation der Ergebnisse Neben der Erstellung von Modellen und deren Auswertung ist für dich die Umsetzung des dazugehörigen Service eine Selbstverständlichkeit Dich interessiert der Umgang mit Bleeding Edge Technologien und neuen Methoden aus der Forschung Wir sind noch frisch und nicht eingefahren, Du gestaltest unser Stat-up selbst mit   Deine Qualifikation Einen Hochschulabschluss der (Wirtschafts-) Informatik oder einer vergleichbaren Disziplin Hohes Maß an Abstraktionsvermögen in den  Bereichen Algorithmen und Modellierung Ausgeprägte Kommunikationsstärke und Spaß daran, auch schwierige Probleme zu lösen Sehr gute Kenntnisse in mindestens einer der folgenden Programmiersprachen: Python, R, C++11 Ein Github / StackExchange Account oder relevante MOOCs sind ein Nice to Have   Unser Angebot Unbefristete Anstellung und Ausbau deiner Fähigkeiten Flache Hierarchien und der Wunsch von uns, dass du das Unternehmen mitgestaltest Freie Wahl der Hardware und des OS (Solange unser Softwarestack läuft) Cloud Computing und Bare Metal Hardware Flexible Arbeitszeiten und Home Office   Unser Unternehmen Wir sind ella. Ein frisch gegründetes Startup aus Köln mit solider Finanzausstattung und sehr guten Kontakten in die Branche. Getrieben von Gründergeist und der Faszination innovativer Zukunftsthemen arbeiten wir seit 2018 in einem wachsenden Team am Entertainment der Zukunft: Künstliche Intelligenz, die Geschichten erzählen kann und Menschen mit genau den Inhalten, die ihnen gefallen, unterhalten und durch den Alltag begleiten. Dieses Jahr legen wir mit dem Core-Team den Grundstein für unsere Wachstumsstrategie ab Januar 2020. Wir kennen die Herausforderung, glauben an das was wir tun und bringen als Experten die nötigen Bausteine mit, diesen Weg zu gehen!

About us LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands such as adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, it is also a great place to work. Colleagues from dozens of countries jointly make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern airy working environment, and that world-class teams deserve the best software stack money can buy. POSITION Our customer base is growing rapidly all over the world and we plan to invest heavily in data-driven product functionality and data science methodology. Our SaaS platform continuously evolves and improves, as our customer satisfaction is our most important measure. In order to achieve these goals, we are eager to win a passionate and creative engineering manager for our newly introduced data science team. You take over HR responsibility for a group of engineers and assist in the hiring process. You become a mentor not only for the new hires but also for the existing team members and act as scrum master for the team. You go above and beyond to make the team more efficient while maintaining a significant portion of the individual technical contribution. With this contribution, you ensure the quality of deliverables and maintain a strong focus on the present and future of our data science platform as a whole. WHAT IS WAITING FOR YOU? Design and build the data science platform of our Enterprise SaaS State of the art technologies Test-driven development in a DevOps environment HR responsibility for data science scrum teams Running day to day business of the team Leadership in epics Strong individual contribution (>60-70% of time allocation) Speaking at meet-ups/conferences WHAT ARE WE LOOKING FOR? B.S. degree or above in Computer Science or another technical subject 5+ years of experience as data scientist Expert knowledge in data science and machine learning Strong leadership and management skills Strong verbal/ written communication skills in English (German is a plus) Hands-on approach, enjoying an agile software development process Experience with continuous integration & automation process

- Part of a team (data scientists, data and software engineers) developing automated data analytics solutions, Participates in the design and creation of data analysis approaches and pipelines at scale, Data integration, analysis and visualization. Position Requirements   - Programming skills in Java (ideally, also: C# and/or Python), Experience with ETL process, automated handling and querying of data in files and databases (SQL, NoSQL), Passionate about Data Science and/or Data Engineering. Personal Requirements   - Team player, enjoys working in an interdisciplinary team, Good communication skills (also in English), Pragmatic, with a can-do attitude, Working place will on-site in Hilden.

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.

As a Data Scientist (m/f/d) at denkwerk, you will work in interdisciplinary teams on agile projects for a diverse range of clients. You will focus on the design and implementation of effective data processing architecture. Furthermore, you will be responsible not only for the application of machine learning procedures and the selection of the most efficient algorithms but also for advising our clients. With your expertise you will support the acquisition of new projects and you will be jointly responsible for the building and expansion of our Big Data Team. abilities A degree in mathematics, information technology, physics or a comparable field of study First practical experience in the field of data modeling and analysis The ability to independently master technologies and methods in the field of machine learning and artificial intelligence. Good knowledge working with Python/ Java Experience with Apache Spark/ Hadoop A passion for current methods and algorithms in the field of machine learning Experience with deep learning models (for example Tensorflow or Keras) Very good spoken and written German skills and good English skills educationmarkings A variety of exciting projects Talented and highly motivated colleagues Agile processes and methods Open company culture and a relaxed, but concentrated work environment Employee profit-sharing Attractive benefits such as the denkfit sports program, childcare services (denkzwerg) and in-house events, e.g. TechTalk, UX Meetup and "kreatifrühstück"- a creative breakfast session as well as external further education possibilities credentials Show us what you’re made of and send your complete application. Don’t forget to include your earliest possible start date and salary expectations. Of course, English and German applications are equally welcome - as long as you are as passionate as we are!

Our Market Analytics Team in Düsseldorf is looking for you! What we offerAt Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.How we workOur people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy. What we are looking forAs part of the Market Analytics Meteorology/Hydrology Team, you will be working directly on the trading floor, supplying traders and other key stakeholders with tailored weather information relevant for their commercial decision making and risk management. After getting familiar with existing tasks and routines in different markets and commodities, your focus will be on supporting our power trading in Europe by forecasting especially renewable generation (wind, solar, hydro) medium- to extended medium-range. You will closely collaborate with our Hydrology team as well.Who we are seekingWe are looking for a candidate with a university degree in meteorology (or comparable), willing to work in a fast, demanding and challenging trading environment. You are a team player by heart, have strong synoptic skills and have at least basic experience in operational weather forecasting. You are used to incorporate deterministic and probabalistic forecasts, have a good understanding of MS Office, preferably incl. VBA or other programming skills, and embrace working as part of a larger analytics team. You are able to communicate under time pressure to the point and fluently in English, and you are open for unconventional as well as solid scientific approaches. About usWe have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business. We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.Uniper is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, belief or marital status. We actively promote diversity, equality and flexible working.

We are looking for a new colleague in the Commercial Vehicles department at our location in Gelsenkirchen. Your tasks as Engineering Quality Engineer (m/f/d): Providing the project team members and management with objective data about the quality of processes and work products Supporting the use of key quality tools and ensuring any non-conformances are resolved Identifying quality requirements and standards for projects and products, defining the quality assurance strategy and documenting how the projects will demonstrate the achievement of quality objectives Facilitating and supporting FMEAs and reliability analysis as well as analyzing, prioritizing and tracking of quality actions Supporting in clarifying process and quality related issues, PPAP requirements and serving as customer, supplier or manufacturing interface to projects on quality topics Your profile   as Engineering Quality Engineer (m/f/d): Bachelor’s or Master’s degree in Mechatronics, Electrical Engineering or a comparable qualification Several years of professional experience in Systems Engineering and ideally experience in safety critical automotive products (e. g. steering, braking) Very good knowledge of ISO26262 and ASPICE, knowledge of APQP/PPAP and FMEA is desirable Self-confident team player with a target-driven and agile mindset Excellent English communication skills, knowledge of the German language is advantageous Are you interested? Please apply online as Engineering Quality Engineer (m/f/d) and include complete and expressive application papers (cover letter, CV, and certificates) as well as salary expectations and earliest start date. Please make sure that all your documents are compiled (PDF, max. 3 MB) when uploading.

For our Operations & IT Team in Düsseldorf or Hannover we are looking for you! What we offerAt Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.How we workOur people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy. What we are looking for Advice on the requirements of the EU data protection basic regulation in the Uniper Group, in particular on questions of IT data protection Identifying security risks when using IT systems and applications and identifying and evaluating data protection risks as part of risk and business impact analyses, conducting data protection impact assessments Execution of data protection analyses - e.g. analysis of data protection processes, procedures and applications Establishment, analysis and optimisation of data protection organisation and support in setting up data protection management systems and creating data protection concepts and other data protection documentation Implementation of data protection requirements in policies, standards and processes and independently conducting training courses and workshops. Direct coordination with the Group Privacy Officer and other data privacy officers in the Group as well as data privacy coordinators Who we are seeking Completed studies or a completed education in the fields of economics, business informatics, industrial engineering, computer science, mathematics Relevant professional experience and willingness to cope in a complex corporate environment Strong IT and process affinity Knowledge of data protection requirements (EU data protection basic regulation, BDSG old/new etc.) Knowledge of information security management and relevant standards, e.g. ISO 27001 Good knowledge of MS Office, in particular Excel and PowerPoint Confident appearance, initiative, hands-on mentality and ability to work in a team Mobility within the supported locations in Western Europe Very good presentation and communication skills (German and English) Desirable: data protection certification, certification as Information Security Officer or BSI IT basic protection auditor About usWe have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business. We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.Uniper is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, belief or marital status. We actively promote diversity, equality and flexible working.

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

In Germany Statkraft has, since 1999, been an active trader of power, gas, renewable and emission certificates and a broad range of structured products. We are one of the leading players and service providers in managing distributed energy generation. What we do: Within Statkraft’s Continental Trading & Origination department, the Power Trading mandate covers position taking in standard and non-standard products across different markets in Europe, involving prompt trading as well as the curve. The team managing this portfolio exists of experts on power and fuels. Your role: The energy landscape is changing rapidly and so is our business. Our experienced and international team continuously improves the optimization tools, forecasts and trading strategies using data science techniques: data mining and visualization, developing hypotheses, testing statistical models and employing machine learning and artificial intelligence algorithms. All this happens in close collaboration with our traders. New business opportunities arise daily and need to be valued and eventually operationalized. Your internship will be in the centre of these front-office activities and you will be given responsibility from day one. Over the course of your internship in Düsseldorf you will become familiar with many aspects of the energy market, data structures and the trading business. Since your work is at the heart of our business and therefore commercially significant you will always have expert support, but we also expect you to work independently. There is always room for exploring new ideas and business. Our interns are highly valuable members of our teams and you will actively contribute to the further development and growth of Statkraft Markets, working closely with various departments in Germany and Norway. Your tasks will include but are not limited to the following: Help shape Statkraft’s digital future when working with new trends like big data, machine learning, predictive analytics etc. Collect the data necessary for modelling from a wide range of sources Contribute to the development of our algorithmic trading systems Your profile: Student of Computer Science, Mathematics, Engineering or similar technical field of study with strong analytical and numerical skills Modelling and programming experience (preferably in Python) Experience in timeseries analysis (machine learning and statistical modelling would be a plus) Team player with good communication skills Proactive and independent way of working Fluent in English Statkraft offers: Professional and personal development in an exciting company A positive working environment characterised by competence, responsibility and innovation A diverse workplace with regard to gender, age and cultural background Competitive terms of employment and fair remuneration on hourly basis. Duration:   4-6 months, full time Expected start date:   flexible Challenged? For us the ideas of our committed and ambitious colleagues make the difference. If you want to share our passion for renewable energy and be a part of tomorrow’s energy world, please apply through our online application form.

Germany, Düsseldorf, Integrated Business Solutions Data Engineer - Palantir   ‏ (d/f/m) HENKEL IS FOR THOSE WHO STEP UP. DO YOU? At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us. YOUR ROLE Highly dynamic international working environment with great team spirit and the opportunity to drive Henkel’s digitalization Modern, hybrid analytics and big data platform based on the latest technologies and tools to ingest, process and manage data Exciting journey to move analytics and big data entirely to the cloud and leverage the enormous capabilities of an elastic platform Data from many sources (ERP system, web, social, sensors, IoT devices etc.) in many formats Agile work in small expert teams to identify, understand, structure and solve complex data driven business problems Active role in the further development of the analytics and big data setup at Henkel YOUR SKILLS Master degree in Computer Science, Mathematics or comparable; experienced practitioners also welcome At least 2 years' working experience in the area of data engineering Complete data value chain knowledge: ingesting raw sources, writing data integrations, harmonizing them into a common ontology to create “golden” datasets, scheduling and monitoring builds, verifying data quality, operationalizing Very good working knowledge in Python, our main data wrangling language, as well as a good working experience with code versioning (git); experience with Spark, Scala, Java and/or JavaScript or other programming languages is of advantage; coding is key, we strongly believe in the “everything as code” concept Good understanding of cloud technologies and modern computing environments like Docker Fluent English and German skills Excellent and pragmatic problem-solving skills JOB ID: 190001IUJOB ID: 190001IU

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!

GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 50 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company. Your responsibilities and tasks: For our Product Engineering & Development activities in Oelde/North Rhine-Westphalia, we are looking for a Data Scientist - Digital Solutions (f/m) for the next possible entry date. In this position, you will Derive use cases for data analytics Develop and implement machine learning / BigData algorithms Test and validate algorithms Capture of requirements from different departments Manage data science activities Communicate with stakeholders Understand and “translate” requirements from product groups into data science applications Run data science projects on his/her own Work in an agile development environment Conduct workshops with different departments Visualize results for all relevant partners Work in international interdisciplinary teams Contribute to an agile and creative environment Drive new ideas and innovations inside the company Your profile and qualifications: Master’s degree in data science, statistics, applied mathematics or a comparable qualification Experience in database management systems (MySQL, Mongo, etc.) Basic knowledge in predictive analytics, machine learning, R, Python Interest in mathematical modelling of processes Teamwork and communication skills Analytical skills and quick understanding of new processes Basic understanding of business processes High flexibility for working in changing environments Fluent English and German language skills; willingness to travel Self-organization inside of an agile team Passion for digital transformation topics Apply for this job GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities and equal qualification are welcome and will be given preferential consideration.

What you will do: Gather and process raw data at scale (including writing scripts, calling APIs, write SQL queries, etc.) Enhance, maintain and use our cloud based Data Lake Process unstructured data into a form suitable for analysis – and prepare the analysis New technology adoption and Database design Design and build healthy, scalable architectures for real time and batch data processing What you will learn: How to build, run and enhance highly complex Big Data Infrastructure How to manage stakeholder expectations within a fast paced company What you should bring: Master’s degree in a related area such as Computer Science, Physics or Mathematics 3+ years of experience with Data Engineering, preferably in an e-commerce/ internet-based company with large and complex data sources Expertise with Hadoop, Hive, Spark, Python Hands on experience with AWS EMR or similar Solid experience writing SQL queries and working with relational DBMS’s like MySQL Good knowledge of Linux and scripting languages Experience with ETL (Tools) and concepts is an advantage Being a great team player comes naturally to you and you communicate fluently in English What will you get? Colleagues   striving for excellence   while using the latest technologies Relocation support   to Germany which includes assistance with visa, apartment search and refund of moving costs A   beautiful and modern office   in the heart of Berlin (Kreuzberg, Bergmannkiez) with free drinks & fruits Team and company events   like Hackathons, International Nights, Annual Company Parties, Football, Team Nights and more Attractive discounts   on different services like gym, public transport, car purchases and others Flexible   working hours Annual   salary reviews   weaved into our   feedback cycle German Language courses   for free, in the office Sounds interesting? Upload your CV with a note of your salary expectations. Bazi Nzirubusa is 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 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!

Job Number: 102330 Schedule   Full-time Work Locations   Headquarter Düsseldorf Schlüterstraße 5 Düsseldorf 40235 METRONOM GmbH is the tech unit of METRO, a leading international wholesale and food specialist company. METRONOM provides customized IT services and IT solutions for all METRO countries worldwide. About 2,000 team members are located in Germany and at our international locations, offering a wide range of capabilities, such as consulting on business processes, development, implementation and support of business solutions, operating data centers and networks as well as supervision of the IT equipment. As a data driven company we have one goal: We want to make our existing business ready for the digital age. To directly address the business needs of MCC countries our innovative team of Data Scientists (m/f/d) links advanced analytics with the latest IT technologies for tangible business outcome. We are doing pioneering work within MCC as we are using our data rich environment to make our business better and stronger. What you can expect You work on conceptualizing, developing and building advanced analytical approaches and analytical products aimed at solving business use cases of Metro Cash & Carry (MCC) country organizations As a profound data science expert you work on use cases emerging from business domains like B2B / B2C marketing, assortment optimization, pricing or supply chain management. You are able to choose appropriate analytical approaches for a specific use case from your broad range of practical experiences in former analytical projects You use modern big data analytical technologies like Spark, Hive or Google Cloud Platform in a data rich environment. Scale new algorithms and models to large data sets and/or services for real-time data streaming You interface regularly with MCC country business analysts and corporate stakeholders capture their needs and requirements for analytical solutions. Turn feedback from internal customers into improvements of the current analytical products Provide leading and reliable advice to other team members or country analysts on advanced analytical approaches to support a common learning culture, as well as, accelerate the development of complex analytical products Research and explore new improved ways of working and analytical approaches aimed at serving MCC country needs better Your Profile University degree in statistics, mathematics, physics or engineering - Ideally a Ph.D. degree in one of the above mentioned fields More than 5 years of experience in successfully working as part of a professional Data Science unit, ideally, in the area of retail / wholesale Knowledge in big data technologies like Spark, streaming, Hive and Google Cloud Platform (as a plus). Fluent in Python/R, and SQL (ideally Teradata) Successful track record and state-of-the-art experience in statistical / machine learning approaches for at least one of the following business domains: marketing analytics (customer segmentations, customer profiling, recommender engines), assortment optimization, pricing or supply chain management Exceptional analytical skills and the ability to contribute to an open, international team culture to drive the knowledge exchange and learning of all team members Continuous self-learning attitude combined with high level of curiosity to explore new ways of working Our international environment requires that you must be fluent in English (both written and spoken) Our special offers for this position: Trustworthy data from our own stock Continuous improved data warehouse & Big Data Bridge between analytics and business - feel your influence Additional room for exchange of opinions in workshops or conferences Our benefits: Flat hierarchies and fast communication paths • individual talent development and career programs • 30 days of vacation • vacation activities for your kids during summer • pension plan • flexible working times • shopping discounts in our METRO stores • diverse health programs and sports activities • good infrastructure (from transport links, to free parking, two canteens, laundry services, supermarkets or hair dresser to additional nearby shops) • regular team events • home office METRO is an equal opportunity employer. We offer all qualified employees and applicants identical chances.