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Business Intelligence: 39 Jobs in Grenzhof

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Business Intelligence

Associate Consultant / Berater (m/w/d)

Sa. 24.07.2021
Bonn, Frankfurt (Oder), Köln, Düsseldorf, Essen, Ruhr, Heidelberg, Würzburg, Wiesbaden, Hamburg, München, Berlin
Zielgruppe: Absolventen & Berufseinsteiger – Standort: deutschlandweite Projekte Die CINTELLIC Consulting Group ist eine der führenden Unternehmensberatungen für das digitale Kundenmanagement. DAX-Konzerne und renommierte Mittelständler erzielen durch unsere Beratung erhebliche Umsatz- und Ertragssteigerungen. Unsere Leistung basiert auf einem breiten Expertenwissen im Zusammenspiel von Business, Data und Technology. Wir zählen laut dem Great Place to Work®-Ranking zu den besten Arbeitgebern im Consulting. Werden Sie Teil unseres Teams, begleiten Sie aktiv digitale Zukunftsthemen und schreiben Sie die CINTELLIC-Erfolgsgeschichte mit! Sie beraten und unterstützen unsere Kunden in der digitalen Transformation von Kundenmanagement und CRM Sie analysieren Anforderungen und haben Verständnis für umfassende Geschäftsprozesse unserer Kunden Sie konzipieren fachliche und technische Lösungswege und verantworten deren Implementierung Sie werden in das CINTELLIC Beratungsportfolio eingearbeitet, lernen neuste Technologien kennen und haben die Möglichkeit zur Entwicklung in einem Fokusthema Sie begleiten aktiv im Tagesgeschäft und bei unseren Kunden vor Ort Sie verfügen über ein abgeschlossenes Studium (informations-) technischer, mathematischer, naturwissenschaftlicher und/oder betriebswirtschaftlicher Richtung Sie haben ein sehr gutes Verständnis und Begeisterungsfähigkeit für digitale Themen und Fragestellungen Sie können auf Grundkenntnisse in Prozessanalyse, -modellierung, Informationsmanagement, Statistik und/oder Auswahl und Einführung von Softwaretechnologien zurückgreifen Sie verfügen Idealerweise über erste Kenntnisse im Umgang mit gängigen IT-Produkten wie SAS, SPSS, Unica, Siebel, IBM Cognos, Microsoft BI, Microstrategy oder SAP C/4HANA Sie besitzen sehr gute Deutschkenntnisse im mündlichen wie schriftlichen Sprachgebrauch Sie zeigen gute Präsentations- und Kommunikationsfähigkeiten im Deutschen und Englischen Individuelle Karriereentwicklung, Trainings und Coachings zu Persönlichkeit und Fachthemen. Faires Gehalts- und Versorgungspaket (u.a. Betriebliche Altersvorsorge, diverse vermögenswirksame Leistungen) Mitarbeit in der führenden Business Beratung für CRM und digitales Kundenmanagement. In der Champions-League der Digitalisierung mitspielen! Außergewöhnliches Miteinander: Team ohne Ellenbogen. Spaß und fantastischer Support. Freiräume: 30 Tage Jahresurlaub, flexible Arbeitszeiten, Möglichkeit für Sabbaticals und Home-Office (punktuell auch in Beratungsprojekten) Weitere Benefits, Unternehmensvideos und einen Blick hinter die Kulissen finden Sie auf unserer Webseite.
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Senior Bioinformatics Scientist (Genome Informatics) (m/f/d)

Sa. 24.07.2021
Heidelberg
Molecular Health was founded in 2004 with the vision to drive a fundamental change in health care. Today we are one of the leading companies in the development and application of information technologies that can change the understanding, analysis and treatment of diseases. Personalized medicine faces the challenge of matching a patient’s molecular and clinical information with all the relevant medical knowledge so that a short-term and personalized application becomes possible. This requires new technologies. Molecular Health is part of this paradigm shift. By combining information technologies, research and clinical application, we are creating breakthrough solutions that substantially support the prevention and treatment of diseases such as cancer. We are seeking for our headquarters in Heidelberg a highly motivated Senior Bioinformatics Scientist (Genome Informatics) (m/f/d) We are seeking a highly motivated individual with strong scientific and technical background in the development and maintenance of NGS pipelines as well as the analysis of diverse Omics data best including machine learning approaches to support our research team in prototype development and customer projects as well as our development team in providing validated signal detection pipelines in the context of our medical device software solutions. Evaluation and development of algorithms to analyze data from next-generation sequencing (NGS), up to and including data analysis pipelines on genomic and transcriptomic data for the detection of sequence variations such as, SNVs, indels, CNVs and Fusions Adaptation and development of customer specific pipeline configurations as well as supporting the customer and internal QM with pipeline validation Plan and lead projects resulting in scientific publications, conference posters, and marketing material of outstanding quality PhD or Master in computational biology, bioinformatics, or related field Several years’ experience with NGS data Experience on Omics Data Analysis and Machine Learning algorithms Profound knowledge of NGS algorithms and software Strong proficiency in object-oriented programming (e.g., Python) Work experience in industry is considered as a plus Fluent in English and German (written and spoken) Able to work independently, and are dependable, focused, and team-oriented An innovative, exciting international company that values employees who can think outside of the box, who want to make a difference and strike out in a new direction A challenging, stimulating scientific and professional environment with a focus on innovation and on the continuous development of our company A modern working environment in a new office building A multicultural team and attractive company events, together with an open culture of trust Excellent location in the center of Heidelberg Opportunities for personal development in a global company Competitive compensation and attractive benefits package, flexible working models including partial home office possibilities Molecular Health believes in the principles of equal opportunities, diversity, and workplace integration.
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3 Positions as Data Scientist for Digital Oncology

Sa. 24.07.2021
Heidelberg
The German Cancer Re­search Center is the largest bio­medi­cal re­search insti­tu­tion in Germany. With more than 3,000 employees, we operate an exten­sive scien­tific program in the field of cancer research.So far, AI-based diagnostics have only entered clinical and especially oncological practice to a very limited extent. In the KI Translation Initiative (KTI), our interdisciplinary working group aims to optimize algorithms generated by means of deep learning as diagnostic assistance systems for clinicians in order to enable long-term "tailor-made" care for cancer patients, e.g. with malignant melanoma, breast cancer or prostate cancer. We use image analysis algorithms to analyze hematoxylin-eosin-stained tissue sections in order to enable statements about tumor properties as biomarkers.The main focus of the project is to achieve an improved generalization ability of such algorithms on "foreign" data - for example on tissue sections from another clinic. In addition, interpretability / explainability of the "black box" CNN for the user will have to be increased in order to enhance usefulness and acceptance of such applications in the clinic. Model uncertainty will also be included in order to provide a further measure of the reliability of the diagnosis made by the algorithm. In addition, the project will also investigate whether the use of XAI methods may serve to identify new structures on histological slides that can also be detected by human observers and thus could also be employed by pathologists to examine tissue sections.To support our team at DKFZ Heidelberg, we are looking for data scientists to help develop and scientifically present the newly generated or improved, digital biomarkers. The Junior Research Group Digital Biomarkers for Oncology is offering 3 positions as Data Scientist for Digital Oncology.(Ref-No. 2021-0204)As a member of the KI Translation Initiative, you will independently research and implement processes to improve the explainability and generalization of neural networks. You will also generate your own scientific publications based on your results and actively support the interdisciplinary team regarding further research questions.Successfully completed university studies (masters / diploma) with a computer science backgroundPrevious experience in the field of machine learningVery good knowledge of a programming language, ideally PythonPractical experience with PyTorch, TensorFlow, Keras or Scikit-learnAbility to work both in a team and independentlyTalent for organization as well as a high degree of flexibility and commitmentIdeally, previous experience in the AI ​​areas of explainability, uncertainty and/or generalizationIdeally, first scientific publications in international journalsEnjoy building the workflow of a new projectPassion for “Research for a Life without Cancer”Interesting, versatile workplaceInternational, attractive working environmentCampus with modern state-of-the-art infrastructureSalary according to TV-L including social benefitsPossibility to work part-timeFlexible working hoursComprehensive further training program
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DevOps Cloud Engineer (m/f/x)

Sa. 24.07.2021
Mannheim
Liftric GmbH is an independent spin-off of Immundiagnostik AG and acts as an incubator for new ideas around the future of diagnostics. We are living a start-up culture and therefore your tasks and responsibilities will be accordingly flexible. We have some primary fields of activity for which we need a motivated developer, but in addition to that, involvement in other areas is highly desirable. If you want to, you can quickly take on a lot of responsibility. We work in an agile (manifesto, not Scrum!) environment and mostly run our infrastructure in the AWS cloud and focus first on quality and stability. Monitorability and traceability of our software is very important for us to be able to identify potential problems and opportunities early on. We are looking for a devops cloud engineer with emphasis on the development of cloud infrastructure to support our team! Maintain and enhance the existing infrastructure automation Develop new and robust automation for new projects and use cases Collaborate with your fellow developers to further enable our success Ensure vital monitoring, alerting, backup and traceability solutions are in place Help us perfectly tune our backend code to our infrastructure and fully exploit its combined potential Always driven to enhance our infrastructure beyond the status-quo Meticulous & autonomous work ethic High degree of personal responsibility for the assigned tasks and infrastructure Open-Minded: we want to go down new paths and preferably with you. NICE TO HAVES Experience in Terraform, Linux and Shell scripting is a huge plus Experience in the AWS Stack is a huge plus Experience in Kotlin, Java, or a general programming language is a plus Experience in other tools of our tech stack You’re highly encouraged to learn about new technologies and expand your knowledge. An open door for feedback at all times! A green office Delicious coffee and soft drinks Flexible working hours & home office possibility (but we’re not remote-first) 30 days vacation Subsidised public transport ticket
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Cloud Data Engineer (m/w/d)

Fr. 23.07.2021
Mannheim
TruBridge ist ein junges Startup, welches die neuesten Cloud-Technologien zu den Kunden bringen und diese dahingehend beraten will. Wir reden nicht nur von Zukunft, sondern wir leben diese auch. Das verstaubte Beratungsgeschäft mit starren Hierarchien gibt es bei uns nicht. Viel mehr denken wir in Rollen, die es jedem erlauben von Tag 1 an Verantwortung zu übernehmen, mitzugestalten und sich selbst zu verwirklichen. Es gibt regelmäßige Team-Events wie z.B. der monatliche Hacker Day, an dem du eigenständige Projekte, Technologien oder dich selbst entwickeln kannst, einen hippen E-Firmenwagen und das Beste: Gehalt und dessen Erhöhung bestimmst du transparent mit deinen Kollegen*innen zusammen, sodass Herkunft / Geschlecht und andere Merkmale bei uns keine Rolle spielen. Für uns bist du keine Ressource, sondern ein wertvoller Bestandteil, dessen Wertschätzung du mit einer offenen, fairen und erfrischend anderen Unternehmenskultur erfahren wirst. Entwickeln und Optimieren umfangreicher Batch-/ Real-Time-Data Pipelines, die strukturierte und unstrukturierte Daten aus verschiedenen Quellen zusammenführen Entwicklung von Tools und Services zur Sicherstellung einer hohen Datenqualität und eines unterbrechungsfreien Betriebs der Data Pipelines Konzipieren, Entwerfen und Implementieren von ETL-Prozessen für die Datenintegration … viele weitere spannende Tätigkeiten, die je nach Kunde und Rolle variieren und es dir so ermöglichen dich noch weiter zu entwickeln. Ein ausgeprägtes Interesse an neuen Technologien und der Cloud, sowie ein natürliches Verlangen Open Source Software zu erforschen bzw. Softwareprodukte zu entwerfen Die Bereitschaft gnadenlose Transparenz zu leben und zu fordern Ein abgeschlossenes Studium in Informatik, Physik, Mathematik oder einem anderen technischen Studiengang Gute Deutsch- und Englischkenntnisse in Wort und Schrift Mobiles Arbeiten E-Firmenwagen Hacker-Days Teamevents Unternehmensbeteiligung Spendenaktion Attraktive Vergütung Keine Hierarchie
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Intern Data Scientist Natural Language Processing (m/f/d)

Do. 22.07.2021
Mannheim
Chemovator is the business incubator of BASF. We provide a protected space to build commercial ventures from unconventional ideas. Our Venture Teams take full ownership of their idea, creatively explore their business, learn fast and pivot beyond corporate boundaries.Our Venture Team RECOBO.AI enables companies with cognitive and semantic search that is fine tuned for chemical and pharma domains.We are looking for a motivated and highly self-driven student to support our AI  startup for a period of 6 months. Are you the right one to start together  with us on our startup journey?   Your role You will work  closely with core dev team in customizing state of the art natural language processing models for chemical and pharma domain  You will work on building state of the art cognitive search for structured and unstructured data, leveraging transformer architecture and knowledge graphs   You will work together with the internal team on testing various high-performance AI/ML models on the cloud   You will work closely with customers to understand requirements and onboarding accordingly          You will  soon be completing a degree (Bachelors or Masters or PhD) in Mathematics, Statistics,  Economics, Econometrics, Data Science, Computer Science or other or related  fields and have achieved above-average results in your study program   You have gained at least 1 year of experience in data mining, data preprocessing, machine learning, natural language processing   You are proficient in programming language Python   Bonus: Knowledge of Cloud platform such as Microsoft Azure would be an added advantage   Bonus: knowledge of Kubernetes, Docker, Neo4J, Elastic Search would be an added advantage            A steady interaction and dialogue with experienced experts from two worlds – corporate  BASF and our wide external network Use the mass of experiences of your colleagues and our Entrepreneurs in Residence to develop yourself and your Venture further   Flexible working time and mobile work as well as usual perks of a company in the startup environment, e.g. free drinks and an inspiring atmosphere within an unconventional location in Mannheim   A competitive salary and the opportunity to be part of the growing Venture Team            Thrilled? Nothing is set in stone yet, so your input is highly welcome. Please  contact Tobias Seeger  with your relevant documents (cover letter + CV).  We are looking  forward to hearing from you!
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IT Senior Datenbankadministrator - Datenbank Engineer *

Do. 22.07.2021
Mannheim
Unternehmen verschiedenster Branchen suchen händeringend nach Fachkräften. Ohne die richtigen Spezialisten stehen Projekte, Roboter und Laptops still - und nichts geht mehr. Da kommen wir ins Spiel. Wir sind die weltweite Nr. 1 in der Rekrutierung von Spezialisten. Allein in Deutschland, Österreich, der Schweiz und Dänemark unterstützen wir über 4500 Spitzenunternehmen, die richtigen Experten für die Realisierung ihrer Projekte zu finden. Als Vertriebsorganisation bieten wir Einstiegsmöglichkeiten im Sales und Recruiting oder unseren zentralen Fachabteilungen. Steige jetzt intern bei uns im Bereich IT ein. Die Hauptaufgaben dieses Bereichs sind der Support unserer Mitarbeiter in Bezug auf unsere IT-Systeme, die erfolgreiche Entwicklung und Implementierung der unternehmensinternen Softwares und Homepages sowie die strategische Weiterentwicklung unserer IT-Systemlandschaft. Als Senior Datenbankadministrator* im Bereich MS SQL-Server bist Du mitverantwortlich für die Administration, Optimierung und Weiterentwicklung unserer Datenbank- und Reportingsysteme Du realisierst vielfältige kundenspezifische Anforderungen und stehst in spannenden, agilen Projekten gerne auch beratend zur Seite Die Erstellung von Reports, Auswertungen und Analysen individuell für interne Kunden, gehört zu deinen Aufgaben Du führst Performanceanalysen durch und betreibst Optimierungen auf Datenbank- und SQL-Ebene Gemeinsam mit dem Team sorgst Du für einen reibungslosen Betrieb und den Support unserer internen Kunden Du verfügst über ein abgeschlossenes Studium als (Wirtschafts-) Informatiker oder eine vergleichbare Ausbildung und konntest bereits mehrjährige Berufserfahrung in der Datenbankentwicklung oder Datenbankadministration sammeln Fundierte Kenntnisse in T-SQL und der Datenbankadministration bringst Du ebenso mit wie die Vertrautheit mit Disaster Recovery- und Backup-Themen Zudem hast Du Erfahrungen in SSIS-/ SSAS-/ SSRS oder PowerBI gesammelt und AlwaysOn sowie Clustering sind dir nicht neu Erfahrungen in der Projektarbeit (idealerweise SCRUM) bringst Du mit, sowie die Leidenschaft, zukunftsweisende, innovative IT-Lösungen auf- und umzusetzen Kenntnisse im Machine Learning (R, Python) sowie PostgreSQL sind für Dich von Vorteil Zudem arbeitest Du Dich eigenständig in neue IT-Umgebungen ein, bist zielstrebig und bringst Dich aktiv im Team ein, um gemeinsam die besten Ziele zu erreichen Hays bietet Dir die Sicherheit eines global agierenden Konzerns, ist aber in kleineren Teams organisiert, sodass es immer jemanden gibt, den es interessiert, wie es Dir geht Im Sinne des New Work Prinzips erwarten Dich ein flexibles Arbeitszeitmodell, die Möglichkeit remote zu arbeiten sowie ein professionelles, Mentoren gestütztes Onboarding Wir bieten Dir außerdem individuelle Entwicklungs- und Weiterbildungsmöglichkeiten sowie systematische Feedback- und Entwicklungsgespräche Profitiere von unseren zahlreichen Mitarbeiterangeboten - wie z.B. Bezuschussung zum Jobticket und Mittagessen, betriebliche Altersvorsorge und Gesundheitsförderung, Kinderbetreuungskostenzuschuss, Sonderkonditionen für Fitnessstudio Mitgliedschaften, Mitarbeiterrabatte, Teamevents u.v.m. Darüber hinaus kannst Du Dich auf 30 Tage Urlaub freuen
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Software Engineer (m/f/d) Data & Analytics Solutions

Mi. 21.07.2021
Heidelberg
Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Our Data & Knowledge Technologies team, distributed across Heidelberg, Germany, and Pune, India, is working on all aspects of the data-value creation chain for our scientific data & analytics solutions. We are looking for an IT Engineer (all levels considered) who is capable, talented, engaged and passionate about creating industry-strength architectures and solutions that unleash the value of data. We are a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate. By building solutions that transform the traditional document perspective into a world of knowledge, we work on the forefront of Springer Nature’s digital-first strategy. This position can be located in Heidelberg/Germany or Pune/India. Why you should apply: You have a strong problem-solving mind-set with a hands-on attitude, you are keen to design and build innovative solutions that leverage the value of data, you are passionate and creative in your work, you love to share ideas with your team and can pick the right tool for the job? Then you should become a key member of Springer Nature’s Data & Analytics Solutions teams! You will have plenty of options to contribute to the company, keep up to date with technology trends and engage in life-long learning to grow personally as well as professionally. As long as we deliver, our team has considerable autonomy of how we get things done. You and your skills can make a real difference! Create and deliver complex tailor-made data and software solutions to build & improve automated processes for acquiring, processing, enriching and delivering structured domain-specific data Develop and operate large-scale data integrations, data analytics and machine learning in order to solve real-world problems Work with and extend our suite of technologies and practices, currently including domain-driven development, cloud computing, micro services, DevOps & DataOps, Kafka, SQL and NoSQL data stores, Linked Data, machine learning, etc. Influence every step of the delivery process and take ownership for what you build, from initial design & modelling over implementing in a team to continuous deployment and operations Contribute to the development of the team’s diverse portfolio of innovative AI and ML solutions We build our solutions incrementally, iteratively and continuously, so you’ll be able to see new work go live almost immediately Contribute to project priorities and deliver in an agile and informal set-up. If something needs to be done, we do it. If something isn’t working, we fix it Face challenges every day and strive for solving them through constantly innovating together with data & software engineers, domain experts, other development teams and product owners An exciting, diverse and international environment. Plenty of collaboration and cooperation activities across a wide range of technical as well as business stakeholders Software-development experience (graduates are also welcome to apply) in Java 8 or later, Spring Boot, Maven, Docker, and Git. Familiarity with Python will be helpful Eagerness to work with fit-for-purpose data models and storage technologies, from relational over graph structured to document based and key-value stores Familiarity with Linux-based environments incl. typical scripting solutions (e.g. Bash) Willingness to constantly improve the quality of our solutions and our operational efficiency Knowledge about common tools and practices (incl. version control, test automation, continuous integration, clean code) A team player with good communication skills and proven ability to be agile and self-organised. Life-long learning mindset Please note that your CV isn’t all that counts, neither how well you match all of the listed requirements. What we value most is personality, motivation and a bright mind. We ask that you be able to help us solve our problems and overcome our challenges. We are interested in what you can do. If you believe that you can help us, talk to us! If we agree, we'll invite you to come in and show us how you work. We encourage you to learn all you can about us and be open-minded for discussions and hands-on sessions during your interviews, because that's what our interviews are all about: doing the work and solving the problems. We promise not to waste your time.
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Data Engineer / Data Engineering & Process Analytics (m/f/d)

Mi. 21.07.2021
Heidelberg
Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.  This position can be filled at the following locations: Heidelberg (Germany) or Dordrecht (The Netherlands) Who we are: You will join a new team working at the vibrant pulse of Springer Nature’s publishing workflows processing millions of articles. We combine data from a variety of systems to mine process flows and facilitate granular end-to-end analysis. We are an enabler for continuous improvement and transformation monitoring. We take our work seriously but not ourselves, placing more importance on collaboration and relationship building than on solo heroics. Our mission is to perform together to lay the foundation for analyzing today’s processes to make tomorrow’s publishing more efficient. Who you are: You are as much into working with data, processes and software solutions as you are into working with people. You would describe yourself as a get-it-done and out-of-the-box person who appreciates the cultural diversity of a global company. You have already gained professional experience in international projects, you value self-dependency and reliability as much as we do, and you would be ready to get trained on the job. Analyze, normalize and transform data from various in-house systems Implement data pipelines and data models for process mining Monitoritor the data pipelines, ensure their reliability and help troubleshoot any issues Maintain and expand existing reporting systems, both proprietary an third-party Develop best practices and blueprints that can be used across projects University degree in the area of computer science, engineering or a comparable education Solution-oriented problem-solver, proficient and experienced with SQL and Python Experience with different DB systems (e.g. MS SQL server, Postgres, Vertica) Experience with data pipelines and ETL processes, ideally for larger volumes of data Strong analytical, organizational and problem-solving skills Ability to adapt and drive change Excellent command (business fluency) of English and German Experience with Google Cloud Platform technologies like Big Query, Cloud Composer or Data Flow What we would appreciate: Project management skills Experience with data and process analysis tools like the Celonis Execution Management System Knowledge of scientific publishing processes Permanent contract Working hours: full-time Company and location: Springer-Verlag GmbH, Heidelberg (Germany) or Springer Nature B.V, Dordrecht (The Netherlands) 
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Data Engineer (m/f/d) Data & Analytics Solutions

Mi. 21.07.2021
Heidelberg
Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Our Data & Knowledge Technologies team, distributed across Heidelberg, Germany, and Pune, India, is working on all aspects of the data-value creation chain for our scientific data & analytics solutions. We are looking for an IT Engineer (all levels considered) who is capable, talented, engaged and passionate about creating industry-strength architectures and solutions that unleash the value of data. We are a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate. By building solutions that transform the traditional document perspective into a world of knowledge, we work on the forefront of Springer Nature’s digital-first strategy. This position can be located in Heidelberg/Germany or Pune/India. Why you should apply: You have a strong problem-solving mind-set with a hands-on attitude, you are keen to design and build innovative solutions that leverage the value of data, you are passionate and creative in your work, you love to share ideas with your team and can pick the right tool for the job? Then you should become a key member of Springer Nature’s Data & Analytics Solutions teams! You will have plenty of options to contribute to the company, keep up to date with technology trends and engage in life-long learning to grow personally as well as professionally. As long as we deliver, our team has considerable autonomy of how we get things done. You and your skills can make a real difference! Create and deliver complex tailor-made data and software solutions to build & improve automated processes for acquiring, processing, enriching and delivering structured domain-specific data Develop and operate large-scale data integrations, data analytics and machine learning in order to solve real-world problems Work with and extend our suite of technologies and practices, currently including domain-driven development, SQL and NoSQL data stores, Linked Data, knowledge graphs, ontologies, machine learning, DevOps & DataOps, automated delivery pipelines, etc. Influence every step of the delivery process and take ownership for what you build, from initial design & modelling over implementing in a team to continuous deployment and operations Contribute to the development of the team’s diverse portfolio of innovative AI and ML solutions We build our solutions incrementally, iteratively and continuously, so you’ll be able to see new work go live almost immediately Contribute to project priorities and deliver in an agile and informal set-up. If something needs to be done, we do it. If something isn’t working, we fix it Face challenges every day and strive for solving them through constantly innovating together with data & software engineers, domain experts, other development teams and product owners An exciting, diverse and international environment. Plenty of collaboration and cooperation activities across a wide range of technical as well as business stakeholders Experience (graduates are also welcome to apply) in working with fit-for-purpose data models and storage technologies: relational, NoSQL, graph databases, key-value stores, etc. Experience with RDF/triple stores/SPARQL is highly preferable Software development experience in Java (preferably Java 8); experience with Spring Boot, Maven, Docker will be a plus Experience and interest in data analytics and respective tools. Experience with machine learning (esp. natural language processing) and knowledge of Python will be a plus Familiarity with Linux-based environments incl. typical scripting solutions (e.g. Bash) Ability to constantly improve the quality of our solutions and our operational efficiency Knowledge or willingness to learn about common tools and practices (incl. Git for version control, test automation, continuous integration, clean code) A team player with good communication skills and proven ability to work self-organised Please note that your CV isn’t all that counts, neither how well you match all of the listed requirements. What we value most is personality, motivation and a bright mind. We ask that you be able to help us solve our problems and overcome our challenges. We are interested in what you can do. If you believe that you can help us, talk to us! If we agree, we'll invite you to come in and show us how you work. We encourage you to learn all you can about us and be open-minded for discussions and hands-on sessions during your interviews, because that's what our interviews are all about: doing the work and solving the problems. We promise not to waste your time.
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