105 Data Engineering jobs

Wir glauben daran, dass die Zukunft denen gehört, die Innovation antreiben, die Wandel gestalten und die durch Zusammenarbeit vernetzen. Darum verbindet Modis die Schlüsseltechnologien IT, Engineering und Life Sciences, um gemeinsam mit unseren Kunden die Lösungen der Zukunft zu entwickeln. Wir bringen auf der ganzen Welt Top-Unternehmen mit den klügsten Köpfen in der IT zusammen. Sie alle brennen dafür, ihre Talente für die herausforderndsten Aufgaben von heute und morgen einzusetzen. Du auch? Dann suchen wir Dich für eine befristete Mitarbeit an einem Projekt unseres Kunden. Deine Aufgaben: Beratung zum Thema Recommendations, Problem Space und Lösungen enumerieren Danach: Verifizierung aktueller Ansätze, Bau eines ersten Modells in Produktion, langfristige Beratung thematisch, sowie Hilfe bei Aufstellung eines festen Teams. Deine Erfahrung: Sehr gut in Python Mischung von Data Scientist und Engineer Deine Skills: Sehr guter Kommunikator, schnell im Kopf High-level Beratung Schnelles, iteratives Arbeiten Gewünschte Skills: Pytorch TensorFlow Fast.AI Spark MLLib Erfahrungen mit Collaborative Filtering und Content Based Recommendation Für uns beginnt der gemeinsame Weg damit, Deine Ambitionen zu verstehen. Zusammen arbeiten wir daran, Dich an Dein berufliches Ziel zu bringen - indem wir in Deine berufliche Entwicklung und Mentoring investieren und Dich während Deiner gesamten Karriere coachen. Bei Modis arbeitest Du für eine dynamische, global ausgerichtete Marke, die in einem Schlüsselmarkt ambitionierte Ziele verfolgt. Unsere Zugehörigkeit zur Adecco Gruppe ermöglicht Dir vielfältige Wege. Du kannst es kaum erwarten, uns kennenzulernen? Dann klick' für den direkten Weg zu uns auf den Button "JETZT BEWERBEN"

Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do.  Klarna was born in Stockholm in 2005 and today has 2000 employees working across Europe and the US. We currently serve 60 million consumers, work together with 90,000 merchants and process more than a million payment transactions a day. We are growing at 40% year on year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.  To find out more about what it's like to work at Klarna:  klarna.com/careers Klarna strives to become the world’s favourite way to buy, and you can contribute to reaching this goal! We are looking to hire great people, who are passionate about using their talents to generate success. Data science is no exception! We are currently looking to grow our Data Science teams to satisfy the company’s ever increasing need for complex problem solving and data driven decision making. What you will do Data science at Klarna delivers value in several areas in the organisation. However, there is of course one thing in common for all of them - they consist of highly driven people with a combination of analytical skills and a great team spirit! Use machine learning to solve problems Work with SQL,R and or Python Analyse data with the end goal of detecting trends and make recommendations Design and implement strategies in a rapidly evolving industry Pro-actively and effectively communicate with various stakeholders, discussing the root cause of trends, assessing their impact and propose solutions/optimisations Support wider business objectives by providing analytical expertise on new products and system developments and collaborating closely with Commercial, Product, Engineering and other teams where relevant Develop as a professional in an entrepreneurial organisation that provides opportunity to work with your areas of interest Be involved in the whole process of model development. This includes everything from root cause analysis, data-mining and feature engineering to training, validating and implementing machine learning models, computing performance statistics and conducting A/B-tests Work closely with several engineering teams and business analysts to find new smart ways of consolidating data and making use of it in order to make better models and ultimately better predictions. Who you are Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results! At Klarna we embrace change, you should dare to challenge the status quo and be persistent. You should have A degree from a university in a highly technically numerate subject (e.g. Maths, Physics, Engineering or Economics) Applicable work experience Working proficiency and communication skills in verbal and written English. You might also have Successfully worked with large datasets to deliver business value Built and implemented machine learning models Strong conceptual ability Strong Data extraction and manipulation skills Some good coding skills (R, Python, C++ etc.) How to apply Send over a CV in English. We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job Für Airbus Defence and Space in Friedrichshafen suchen wir für den Bereich „Check-out Systems“ in der Abteilung „TESCG – FVI & Space Physics G" einen Development Engineer SW (w/m/d) - BIG DATA – Data Scientist/Analyst (d/m/w). Tasks & accountabilities Innerhalb der Organisation Space System Engineering ist der Geschäftsbereich Checkout Systems transnational für die Lieferung von Soft und Hardwaresystemen und Subsystemen (Prüfstände, Simulation, Datenbankumgebung, Datenmanagement im Orbit, Datenanalyse, digitale Kontinuität) verantwortlich. Um die Raumfahrtsystemtechnik von der Phase der Vorstudien bis zur Phase der Unterstützung von Satelliten & On-Ground-Systemen im Orbit zu unterstützen. Wir befinden uns in einer Wachstumsphase, da unser Leistungsspektrum sehr stark mit der digitalen Transformation von Engineering-Prozessen und -Methoden verbunden ist. Sie sind in der Lage sich in verschiedene technische Bereichen zu interagieren, um deren zugrunde liegenden Prozess zu verstehen Erarbeitung von mathematischen Lösungen Erarbeitung von Datenanalyselösungen durch die Entwicklung von Software Ihre Hauptaufgaben und Verantwortlichkeiten sind: Identifizierung und Verständnis der technischen Anwendungsfälle, die von Big Data-Technologien unterstützt werden sollen. Beschreibung neuer Datensätze, den Sie für effiziente Lösungen benötigen. Aufbau von Big Data, in kosteneffizienter Weise Schnelles Prototyping von Datenvisualisierungsanwendungen   Unterstützung der Anwender bei der Analyse der Ergebnisse, mit dem Ziel der Effizienzsteigerung Ergänzend zu dieser Tätigkeit werden Sie einem technischen Bereich zugeordnet, um operative End-to-End-Lösungen zu entwickeln und diese unseren Hauptakteuren bekannt gemacht. Die Bereitschaft für Dienstreisen setzen wir voraus. Für diese Stelle ist ein hohes Maß an Sensibilität bezüglich möglicher Compliance Risiken erforderlich. Integrität ist die Basis für den Erfolg, die Reputation und das nachhaltige Wachstums unseres Unternehmens Required skills Abgeschlossenes Hochschulstudium im Bereich System Engineering, SW Engineering, Functional Engineering, Mechanical /Thermal Engineering, Space Physics oder vergleichbare Qualifikation Sie verfügen über fundierte Kenntnisse in der deskriptiven Statistik (Clustering, Dimensionsreduktion, Verteilungsanpassung) und der Inferential-/Prädiktivstatistik (Machine Learning wie Neuronale Netze, SVM, Random-Forest) und wissen, wie man neue Datensätze schnell beschreibt.   Beherrschung digitaler Konzepte wie Digital Continuity, Data Analytics, Cloud, Data Lake/Artificial Intelligence   Sie haben Erfahrung in komplexen IT-Umgebungen (Remote Hadoop/Spark Cluster, Multiple Language Interfacing) und haben erste Erfahrungen in einem Web Development Framework (R/Shiny, Python/Bokeh), um schnell webbasierte Datenvisualisierungsanwendungen um Daten und Algorithmen zu prototypisieren. Kenntnisse im Bereich AGILE-Prozess, GIT-Versioning, sowie Test- und Dokumentationsframework Sie werden in operativen Forschungsmethoden (Graphentheorie, numerische Optimierung, Surrogatmodellierung) geschult, um Herausforderungen jenseits der Datenanalyse zu bewältigen, auch mit pragmatischen Lösungen (Spline-Modellierung, Dichotomieoptimierung). Sie sind neugierig und aufgeschlossen und verfügen über eine eigenständige Arbeitsweise.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description The Big Data Developer works on our SaaS platform, and  brings passionate inquisitiveness, primary research, and forward thinking to every assignment .   Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds  software to pass automated acceptance tests and to deliver sprint commitments .   You can expect a very international team of Developers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Developers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work. Key responsibilities: Design, develop, deliver   and   operate scalable, high-performance, real-time data processing software. Work proactively on the system architecture. Participate in the evaluation and selection of right technologies.  Support the business and product stakeholders by developing new and innovative data driven products. Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data. Collaboration with the product management team to incorporate the needs of our customers. Qualifications Several years of experience in big data technologies and tools. You enjoy operating your applications in production and strive to make on-calls obsolete. Bachelor degree in Computer Science or equivalent. Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases. Familiarity with the AWS-Stack of advantage. Profound experience in programming with Java, Scala or a similar programming language. Knowledge and experience in statistics methods, machine learning and AI. Experience with relational database systems. Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.

What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio. We're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning. Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude. About the role In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas. Some projects you might work on include: Build and evaluate ranking models to improve the search experience of our users; Analyse user journeys and derive success metrics to support product decisions; Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings; About You You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have: A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required) A minimum of 5 years of experience in a full-time industry position (not academic) A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc. Experience with Scala, Python or similar languages that are used to ship production models and systems Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis Worked in cross-functional teams and are able to work in multiple parts of a tech stack Diversity at SoundCloud SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description We are hiring a Marketing Data Analyst to support our global marketing team with sophisticated analytics and reporting as to better understand the impact of our marketing activities and investments. As Marketing Analytics Manager you are responsible for the marketing analytics lifecycle, from ensuring that we design the right campaigns to making sure we implement all learnings and insights to improve our global efforts. Our ideal candidate has strong analytical skills, a creative mind, and is interested in bringing new ideas to our current marketing strategy. This is an exciting opportunity to join our Hamburg-based international marketing team, while also closely collaborating with colleagues in San Francisco, New York, Berlin, Singapore, and Shanghai. Key Responsibilities: Manage digital marketing analytics, including end-to-end performance reporting on all marketing initiatives. Collaborate with marketing leadership to develop strategy, goals, and KPIs throughout the entire marketing funnel. Investigate causes of aberrant data, identify opportunities for optimization, and ensure numbers are accurate. Design and implement experiments to improve channel efficiency and drive growth. Qualifications Bachelor's or Master’s Degree in Computer Science, Statistics, Software Engineering, or related field preferred. Several years of experience working on performance and CRM marketing, including HubSpot and/or Pardot. Advanced data visualization and dashboarding experience, including experience with Google Analytics and Tableau. Demonstrated ability to cull through large volumes of complex data and develop insights and determine trends. Ability to communicate complex analyses throughout the marketing organization, and build excitement and buy-in to analytics objectives and findings. Business fluency in English; other languages are a plus but not required. Work authorization in Germany. Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests. Key responsibilities: Support the business and product stakeholders by developing machine learning algorithms You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths In our agile environment you will cooperate with the product management team and business stakeholders Conduct ad-hoc analysis using Databricks Notebooks We trust you to share responsibility for all team deliverables Qualifications Solid work experience in statistics, AI, and developing productive machine learning-based solutions Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.) Deep understanding of data technologies and tools You are familiar with Spark and cloud-based AWS services Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica Familiarity with the online- or mobile advertising business counts as strong plus You hold a valid work permit for the German market Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.

IQVIA ™ (NYSE: IQV) is a leading global provider of information, innovative technology solutions and clinical contract research services.   Based on extensive industry knowledge, the company provides players in the healthcare industry with a unique basis for decision-making in the linking of big data, forward-looking technology and modern analytics. Are you studying mathematics, physics, (medical) computer science or a comparable field of study with pleasure and success and want to gain relevant practical experience in an exciting environment?   Then this is the perfect time to get started with IQVIA.   Because we are currently establishing two new, innovative "real world" data and evidence networks in oncology, the European Oncology Evidence Network aims to provide high quality observational studies on patient outcomes and quality of cancer care in carefully selected centers within Europe perform. Here you come into play!   They will support our experts   in Frankfurt am Main or in Munich   in the development and expansion of the network, in the consolidation and evaluation of the data, and increasingly assume their own tasks. Your task Creation of decision support based on research, evaluation and preparation of information from external sources Collaborate with system owners, IT and on-site clinical teams to understand the source, content and structure of the records Extract and prepare information in the clinical environment Assistance in the analysis of clinical data for quality control, as well as in the execution of descriptive analyzes Job Requirements Your profile You are interested in a 10-12 week internship from Spring 2019. Student of Physics, Mathematics, IT, Medical Informatics or a comparable discipline Very good data processing skills Analytical approach, quick comprehension and attention to detail Ability to selectively research information and compile it in a clearly structured way - in German as well as in English Communicative, willing to learn and reliable Ideally, first experience in oncology, medical informatics, transformation processes (ETL), NLP and / or database development. If you are interested in working as a student trainee in our team after your 10-12 week internship, we look forward to a long-term cooperation! We look forward to receiving your complete application documents - preferably by e-mail to: Jobs.Germany@iqvia.com

Mit unserem einzigartigen Produktportfolio von Information-Services, Datenbankanwendungen und Beratungsleistungen sind wir für international führende Pharma-Konzerne die erste Adresse. Denn durch unsere weltweite Präsenz sind wir Partner, die länderübergreifend Einblicke und Orientierung geben, die unsere Kunden in ihren komplexen Märkten zu Leadern machen. Für den Bereich Produktion suchen wir einen analytischen und technisch versierten Data Scientist (m/w), der gemeinsam mit uns die zeitgerechte und fehlerfreie Bereitstellung der aufbereiteten Daten an unsere Kunden sicherstellt. Ihre Aufgaben Überwachung der Produktionsschritte unterschiedlicher Datenströme Koordination von lokalen und internationalen Teams zur Sicherstellung der pünktlichen und fehlerfreien Bereitstellung der Datenlieferungen Kontinuierliche Prozessverbesserung zur Steigerung der Datenqualität und Liefergeschwindigkeit Durchführung umfangreicher und komplexer Datenanalysen und Validierungen (Big Data / Data Mining) aufgrund konkreter Fragestellungen und Anforderungen Regelmäßige Kommunikation mit internen Teams über die Produktion betreffende Themen, wie z. B. anfallende Änderungen, Auffälligkeiten in den Daten, etc. Erstellung, Überprüfung und Analyse von Produktionslogs Job Requirements Ihr Profil Abgeschlossenes fachbezogenes Studium oder eine vergleichbare Ausbildung Berufserfahrung im Bereich Datenanalyse und Kenntnisse im Gesundheitswesen sind wünschenswert Bereitschaft zum agilen und innovativen Arbeiten in Projekten Erfahrungen in Data Mining und der Anwendung von SAS, SQL, SPSS und anderen gängigen Datenbank- bzw. Softwaretools Gute Anwendungskenntnisse in MySQL, Oracle und relationalen Datenbanken Abstraktionsvermögen und die Fähigkeit, sich in komplexe Materie einzuarbeiten Detaillierte sowie lösungs-, qualitäts- und serviceorientierte Arbeitsweise Gute Kommunikationsfähigkeit, insbesondere im Kontext von internationalen und kulturell unterschiedlichen Teams Eigeninitiative, hohe Belastbarkeit und Durchsetzungsvermögen Sehr gute Englischkenntnisse in Wort und Schrift Wir freuen uns auf Ihre vollständige Bewerbung mit Angabe des möglichen Eintrittstermins und Ihrer Gehaltsvorstellung – bitte vorzugsweise per E-Mail an:   andreea-monica.bobocea@iqvia.com

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job A vacancy for a Big Data Engineer (m/f) has arisen within Airbus Defence and Space in Manching. The successful applicant will join “Support System Engineering”. Tasks & accountabilities Your main tasks and responsibilities will include: Data exploration Includes searching, selecting and filtering records: Browse, recognize / suggest important attributes and identify frequently used attributes, determine data origin, recognize common patterns Data modeling / structuring Providing data sets for maschine data models and logical data structures and discover relationships between data source attributes, Apply data mining techniques, perform statistical analyses and use machine learning techniques to integrate analyses into existing solutions and business processes Assistance in aligning the technical and functional evolution of the Airbus Big Data platform Data products Development and implementation of data visualization of data results Support in the implementation of proof-of-concept and projects within the Eurofighter community Pioneering role Promoting new working methods and new data governance models Presenting the results to different target groups; from engineers to managers Sharing and exchanging data sources and data sets This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills Bachelor or higher degree in computer science, mathematics or equivalent engineering (MS or PhD preferred) Experience with data integration, quality and management to combine independent sources to achieve a more complete view Knowledge of statistical analysis (e.g. mean, standard deviation, correlations, etc.) Strong analytical skills Experience in data manipulation, data cleansing and feature engineering, Programming knowledge in one or more of the following languages: R, Python, Java, Matlab or similar Knowledge about machine learning, data mining, statistical analysis and modelling Knowledge of visualization tools (such as RShiny, Spotfire, Tableau, etc.) Basic knowledge of Hadoop infrastructure (e.g. HDFS, Spark) Solid experience with SQL technologies (SQL Server, MySQL, Oracle, SAP, BW), NoSQL databases (HBase, MongoDB, ArangoDB, Cassandra), ETL concepts and tools Persuasiveness in presentations and ability to present convincing and clear concepts Persistence in solving problems, assuming responsibility until the problem is solved Learning flexibility, curiosity and creativity and innovative "out of the box" thinking Good communication skills, both written and oral Experience in leading workshops to find requirements and find solutions Teamplayer: collaborative thinking and working methods Fluent in German and English