22 Data Engineering jobs

Du beschäftigst dich als Data Engineer (d/m/w) mit dem Aufbau und der Entwicklung unserer Advanced-Analytics-Plattform. Du gestaltest so die datengetriebene Zukunft der TeamBank aktiv mit.

Wie sich Mobilität morgen auf Schienen, Straßen und Luftweg anfühlen wird, das entscheidet sich schon heute an Deinem Arbeitsplatz. Ganz egal, ob als Zahlenjongleur, Organisationstalent oder Analytiker: mit Talent und Leidenschaft wirst Du Anteil an zukunftsweisenden Mobilitäts- und Logistiklösungen haben und uns als dynamischen, weit vernetzten Arbeitgeber kennenlernen. Entscheide jetzt mit, wie Millionen Menschen morgen Mobilität – und uns als DB – erleben werden.ResponsibilitiesDie DB Netz AG als Infrastrukturunternehmen der Deutschen Bahn erhält Finanzierungsmittel vom Bund. Ein Ressortprojekt entwickelt bis 2022 wissenschaftliche Modelle, mit denen die Wirkung der eingesetzten Mittel auf die Infrastrukturqualität abgebildet werden kann. Darüber hinaus werden neue Qualitätsparameter untersucht, die eine verbesserte Abbildung der Infrastrukturqualität ermöglichen. Zum nächstmöglichen Zeitpunkt suchen wir Dich als Data Engineer / Data Scientist für die DB Netz AG am Standort Frankfurt/Main. Deine Aufgaben: Du entwickelst Hypothesen und Algorithmen auf Basis mathematisch-statistischer Analyseverfahren, um den Ursache-Wirkung-Zusammenhang der Finanzierungsmittel abzubilden. Datenanalysen führst Du durch, um die Prognosemodelle kontinuierlich weiterzuentwickeln. Dabei optimierst Du diese hinsichtlich der Abbildegenauigkeit. Du etablierst eine Plattform zur Datenhaltung und -bereitstellung sowie zur Anwendung von entwickelten Software-Werkzeugen (Sandbox-System). Du validierst die durch interne und externe Dienstleister entwickelten Daten- und Prognosemodelle und nimmst diese fachlich ab. Datenverfügbarkeit, Datenbereitstellung und Anwendung einer Plattform zur Datenhaltung und -bereitstellung sowie zur Anwendung von Software-Werkzeugen stimmst Du mit anderen Fachbereichen ab. Du führst Analysen und Auswertungen von Produktionsdaten in Zusammenarbeit mit zentralen und regionalen Fachbereichen der DB Netz AG durch. Du gewährleistest die statistisch-mathematische Richtigkeit der entwickelten Modelle. Qualifications Dein Profil: Du hast ein abgeschlossenes (Fach-)Hochschulstudium im Umfeld (Wirtschafts-)Informatik, Ingenieurwissenschaften mit Schwerpunkt Statistik oder eine vergleichbare Ausbildung mit mehrjähriger Berufserfahrung. Du hast drei- bis fünfjährige Berufserfahrung im Bereich Data Science, Analytics Strategie, datenbasierte / digitale Geschäftsmodelle, Data Governance oder Künstliche Intelligenz. Erfahrung mit Methoden und Verfahren im Big-Data-Umfeld, wie Statistikprogrammen, gängigen Analyse- und Visualisierungswerkzeugen, Datenhaltungsmethoden und Datenbankmanagement-Systemen, bringst Du mit. Im Projektmanagement sowie im Umgang mit internen und externen Dienstleistern konntest Du bereits erste praktische Erfahrung sammeln. Du verfügst über ausgeprägte analytische und konzeptionelle Fähigkeiten, sowie wirtschaftliches und vernetztes Denkvermögen. Du bist immer bereit neue Fragen zu stellen und diese mit innovativen Methoden zu beantworten. Darüber hinaus bist Du ein kreatives Kommunikationstalent mit Überzeugungskraft.

Als Teil unseres Teams unterstützt Du unsere Kunden bei der   erfolgreichen Entwicklung   und   Implementierung   komplexer Lösungen für   Datenanalyse-   und   Machine Learning- Anwendungen Mit Hilfe   leistungsfähiger Open-Source-   und   Cloud-Technologien   bietest Du unseren Kunden skalierbare, kosteneffiziente und flexible Lösungen Du bist für die   Implementierung, Verbesserung   und   Evaluierung   von ML-Anwendungen und deren Umsetzung verantwortlich Du   kommunizierst   regelmäßig auf eine effiziente und professionelle Art mit unseren   Kunden   und   Stakeholdern QUALIFIKATIONEN: Erfolgreich   abgeschlossenes Master-Studium   in Informatik oder ähnlichem Kenntnisse über   Distributed Systeme , verteilte Datenspeicherung und –verarbeitung, z.B. in Apache Spark und Apache Beam Praktische Erfahrungen mit   Datenanalyse-Technologien   wie AWS Sagemaker, Spark, Spark SQL, MLib oder Storm/Samza sind wünschenswert Tiefergehende Kenntnisse   in folgenden High Level Programmiersprachen:   Scala, Java, Python Erfahrung mit modernen   ML und DL Frameworks   wie TensorFlow, PyTorch, MxNet Caffe und Keras Hohe analytische und problemlösende Fertigkeiten Ausgezeichnete schriftliche und mündliche   Kommunikationsfähigkeiten   in   Deutsch   und   Englisch Zusätzlich zu einem attraktiven Gehalt fördern wir Deine berufliche Entwicklung durch regelmäßige und systematische Weiterbildungsmöglichkeiten. Als ein erfinderisches, vielfältiges und dynamisches internationales Team teilen wir unser Wissen und arbeiten zusammen. Das unterstützt Dich dabei, Dich zu entfalten, neue Kenntnisse und Fähigkeiten aufzubauen und zu zeigen, was in Dir steckt. Wenn auch Du unsere Leidenschaft für Perfektion teilst und eine spannende berufliche Herausforderung suchst, dann werde Teil von Reply! Über Data Reply: Wir helfen Unternehmen bei der Entwicklung und Umsetzung einer Big Data Strategie im Umgang mit großen und komplexen Datenmengen und gehört zum europäischen Reply Netzwerk. Reply ist auf die Entwicklung und Einführung von Lösungen auf Basis neuer Kommunikationskanäle und digitaler Medien spezialisiert. Mit seinem Netzwerk aus hochspezialisierten Unternehmen unterstützt Reply die europäischen Branchenführer effektiv bei Geschäftsmodellen, die auf den neuen Paradigmen wie Big Data, Cloud-Computing, Digitalen Medien und dem Internet der Dinge basieren.

MILES is your urban life companion, showing you hidden treasures and the coolest spots - everything that makes the city worth living. MILES is carsharing for everyone who wants more in life than living it by the minute. Driving with no time pressure, no limits and no specific vehicle types or car brands. Our passion for the new and unexplored drives us in our vision to make urban life better. \#milesnotminutes For our team in Berlin we are looking for a Data Engineer f/m/x These will be your tasks Extend and improve the current BI- infrastructure Transforming large sets of different data sources into a data warehouse Building data visualization products to scale data access across the company Building predictive analytics (e.g. Optimizing our Fleet) in production, in collaboration with our data analysts Responsibility for our data infrastructure and choosing the right tools You're offering these qualifications 3+ year experience in Business Intelligence, Data Engineering, Software Engineering Proven interest in data and algorithms and in-depth knowledge of Python, SQL Experience with data workflow orchestrators (Airflow, Luigi or similar) Solid experience working with databases (z.B. PostgreSQL, Bigquery etc.) und cloud-computing-infrastructures (AWS, Azure etc.) Experience working in an agile software development process Proactive and self-driven personality Fluent in English Nice to have Basic understanding of mathematics/statistics and machine learning Experience using Tableau Fluent in German We're offering these benefits Be part of a high-growth company with an established business model You'll have a high impact with us: We always listen to you and give you the necessary space to bring in and implement your creative ideas Flat hierarchies? Then you've come to the right place! In addition, you can learn from our smart colleagues and develop professionally MILES mood = feel good ;) Cool and modern office with modern equipment, joint team lunches and events, drink flat rate, muesli and for the daily ration of sugar, of course also something sweet "Just using public transportation" was yesterday: with us you'll get a monthly contingent of MILES Credits for free rides Carsharing with lots of ! At MILES, part of our turnover is invested in regional and social projects, as we are actively committed to the welfare of our society and the environment #milescharity Does the job description sound good to you? Do not hesitate to submit your application. We are looking forward to hearing from you! : )

Location: Austria, Germany, Norway | Infopulse welcomes talented   Data Engineer   to collaborate with Oil & Gas customers in Norway, Germany and Austria. Collaboration closely with our clients, we guide them through their digital transformation. As a Data Engineer, you will be responsible for extracting value using our Data Fusion platform, helping our customers to digitalize their daily operations through building data-driven solutions. You will be expected to communicate extensively with our customers at their offices and help them with all parts of creating valuable end-to-end solutions. This will include runing with everything from ingesting data into the platform, automating workflows through scripting, applying Machine Learning and Advanced Analytics, and building awesome visualization solutions. It’s a challenge, but you’ll have a great team to help you in your role! We strive to build a diverse team that can leverage different strengths and backgrounds to build innovative products and nurture a great culture. We are currently looking for Strong Junior or Middle candidates to join our team. Qualifications Have experience from data analysis or data science Have experience with data standards and technologies, such as: Loading and transforming data (e.g. using ETL tools) Using SQL Programming experience (e.g., Java or Python) Have strong academic results (Or a good reason why not!) Have excellent written and verbal communication skills Are a customer-focused people person Have the motivation to contribute in an energetic company Are naturally curious and always ready to learn Have a good story about a time you created, small or large, digital impact Have the desire to drive our projects, customers, company, and industry forward Areas of Responsibility Provide technical expertise and support for customer Provide guidance and find solutions that enable customers’ business use-cases Establish good relationships with key IT Data Managers and Business Data Managers, to drive long-term adoption of our products and services Independently cooperate with and manage integration and data modeling using data connectors, SQL, Python/Java and Rest APIs You must be willing to travel We offer Opportunity to cooperate with great people on projects that create real impact Minimal bureaucracy and overhead, with focus on agility and speed Possibilities to learn new skills and be a part of cutting-edge technology community All the tools you need to be productive Open and friendly company culture High level of autonomy and ability to influence decisions Endless opportunities to grow, including international possibilities. To apply (in English only) please use the "Apply now" form below and provide your full career details as an attachment. You are asked to include the detailed description of your skills and technologies mastered, professional experience and projects description. Please, be sure that all information you provide us will be accepted and kept in the strictest confidence.

Work with one of Germanys' leading data consultancies with some of the most known clients globally.   This team is newly set up and looking to expand their data engineering department.   Be part of the decision-making process for the tools and technologies you will work with and help the growth of the team! The Work: Leverage machine learning and analytics for new products Design and develop databases Develop and deliver statistical and predictive models for projects Provide technical solutions through the use and support of big data Work on a cross-functional team that works with other teams You have: Master / Ph.D.   degree in Computer Science or related Python or R experience MIN 3 years experience in a similar role Big data and machine learning skills Strong NoSQL and / or SQL Experience in Unix, Linux, Solaris, Windows You Get: Work with the latest technologies available Be proud of the work you're doing Be part of a supportive, encouraging open team Economically solid company with a stunning view of Berlin EU Residency Required

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 2500 employees working across Europe and the US.   We currently serve 80 million consumers, work together with 190,000 merchants and process more than a million purchases a day.   We're growing at 40% every year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen.   We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. We at Klarna are looking for driven and energetic Data Engineers who also happen to like Python in order to join our engineering hub in Berlin. Our mission is to make payments as smooth as possible, reducing the friction you are facing when you purchase goods online.   Our secret sauce to achieve this, is our ability to provide credit in real-time.   If you want to learn more on how it is done, there is a great opportunity to join us, aim for awesomeness and write history. We are currently serving 80 million customers and we are growing with a rate more than 40% annually, so there are very big opportunities having a massive impact in one of the very few profitable unicorns out there. 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. What we expect from you Drive, this is an essential attribute if you want to thrive in Klarna's fast moving environment Optimism, being a source of can-do optimism will be crucial for the whole undertaking and the teams you will be collaborating Passion about building data platforms and pipelines Develop and optimize a unified data landscape from architecture to development and optimization in an distributed infrastructure Build, maintain and improve the availability of historical, real time and third parties data pipelines Continuously improve our ELT and ETL processes for the data lakes and data warehouses behind Provide Analysts, Product Managers and BI with complex, large scaled data storage from various data resources Knowledge and the desire to quickly acquire deep knowledge of the big data tool landscape Knowledge of Python or another commercial language used for data processing like Scala You should have Relevant experience in scripting and programming using Python Expert knowledge of SQL and ideally some knowledge / understanding of NoSQL or Postgres Proven record in the creation, maintenance and improvement of ETL and ELT processes Experience with interfaces such as RESTful APIs or RSBScript A very strong technical as well as analytical background A proven record of working within distributed infrastructures and experience in Cloud technology What you can expect from us A competent compensation package, based on your skill level 6 weeks of paid holidays A practically unlimited potential to develop and grow, both personally and professionally Unlimited budget for personal development, including books, conferences and workshops Amazing relocation package to Berlin, Germany Generous pension and insurance plans Code in your spare time? Great, send over a link to some of your work.   We'd love to take a look.   Here's some of our work https://github.com/klarna Klarna is an equal opportunity workplace.   We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.   If you have a disability or special need that requires accommodation, please let us know. If it sounds good, go ahead and contact us!   We are looking forward to hear from you!

Permanent, full-time · Headquarters Berlin ABOUT US MYCS means creating furniture that you love - exactly the way you want it! All of our products can easily be designed using a photo-realistic 3D online configurator.   With this concept MYCS not only revolutionizes the e-commerce market but also turns the furniture market upside down.   MYCS has been growing rapidly since its launch in 2015.   In order to continue our mission "Customization is the new normal", we are looking for talented people who are ready to take on responsibility.   At MYCS, everyone has the opportunity to realize their own ideas and influence. Become part of our international team and help shape the future of the furniture market! YOUR TASKS Working as part of our BI team to provide high-quality data Maintaining infrastructure and ensuring smooth access to BI data services Ensuring data consistency and reconciling different data sources Developing and improving the current BI infrastructure Driving a data-first mindset across the organization Providing ongoing support to stakeholders Evaluating and reporting of business, product, and marketing decisions YOUR PROFILE Bachelor's degree or higher in computer science, engineering, natural sciences or another quantitative field Effective communicator with the ability to explain complex concepts in plain language;   good presentation skills are a plus Fluent in a dialect of SQL (we use Redshift) Experience using python / pandas to analyze data Experience with design, implementation and maintenance of ETL processes Experience working with cloud infrastructure (we use AWS) Prior experience working programmatically with big data Interested in applying statistical techniques to gain deeper insights from data YOUR BENEFITS Be part of a technically outstanding and dedicated international team Work in Holacracy, a set-up where power is distributed throughout the organization, giving independence and freedom to self-manage Benefit from many opportunities to evolve and learn new tools Participate in regular events with an individual budget at each team's disposal Get your own customized furniture through generous employee discounts Enjoy free snacks, drinks and a full fridge Benefit from subsidy for occupational pension Shape your own day of work through a commitment to work-life balance with flexible working hours and models To enhance your application, please, feel free to add your GitHub link.

What awaits you: As part of the Scrum BI team, you identify and design the data-driven use cases in close cooperation with our departments Using modern machine learning and deep learning processes, you support our departments in answering complex questions to achieve the company's goals You design the further development of the Big Data platform and promote the data-driven mindset within congstar What else can you expect?   Have fun working on a cool team! your profile What you have in your luggage: Several years of professional experience in big / smart data or data science projects Practical experience in building big data systems in AWS, Azure or Google Cloud Platform You are pragmatic and solution-oriented.   You react confidently and flexibly to changes in the project Structured, independent work, analytical thinking and pleasure in dealing with data and numbers ... as well as with people You are communicative and team-oriented and enjoy discussing.   The best solution is a success for you even if it was not your idea about us We are a company with over 200 employees, a second brand of Telekom Deutschland GmbH with its headquarters in Cologne and one of the leading mobile communications providers in Germany. As part of Deutsche Telekom, we offer the best of both worlds: we combine a start-up atmosphere with the security of a group behind us and stand for flexibility in both our products and as an employer. We offer: Flat hierarchies and the opportunity to actively shape our processes, products and congstar as a company Flexible working hours and home office Attractive employee discounts Flexible choice of the number of your vacation days and the amount of your variable salary Fresh fruit, water, coffee and tea as much as you want

As part of the Business Intelligence Team you will be responsible for the upkeep and optimization of various processes and reports for a rapidly growing, international start-up. As a Junior Data Engineer at InterNations, you will: extend and refine our data warehouse; develop new ETL processes and improve existing ones; monitor and visualize data; optimize performance; work on various data engineering and data science projects. You meet the following requirements: university student of mathematics, computer science, economics, business, or related studies; ability to work diligently and without distractions; very good knowledge of SQL (ideally MySQL); knowledge of a programming language (for example JavaScript or VBA); understanding of data warehouse design principles; familiarity with stored procedures, triggers, functions; knowledge of ETL processes (and tools like Pentaho Data Integration); very good to fluent written and spoken English; experience abroad and cross-cultural proficiency desired; strong “can do” mentality. You ideally also have: first experience with data science; knowledge of python. We offer: a growing, dynamic company with an international team; a friendly atmosphere and the space to pursue your ideas; regular workshops about work-related topics and soft skills; weekly team breakfasts, fresh fruit, and regular team events. Are you the right one for the job? Send your application (CV and cover letter) today! If you'd like to know more about what working at InterNations is like, check out our official blog - for example, this interview with a senior member of our Business Intelligence Team.

The spirit of a startup at one of Germany's largest family-run businesses?   A contradiction?   Certainly not: At Oetker Digital we support our group companies in shaping their digital agenda and share our competence to pursue the digital future of the Oetker Group.   We have a deep understanding of emerging trends and help to develop new business fields.   Our ambitious goals will lead us and our group companies along exciting paths! Share your passion for data and coding and become part of our team as Data Engineer. These will be your tasks your future: You develop, build, test and maintain architectures, such as databases and large-scale processing systems You build ETL pipelines for the DWH and choose the appropriate tools You gather and clean unformatted data, including from unusual sources You recommend and implement ways to improve data reliability, efficiency, and quality You employ a variety of languages ​​and tools to combine systems together or try to find opportunities in order to acquire new data from other systems You ensure that the architecture supports the requirements of the data scientists, the stakeholders and the business You model the data in a way that is meaningful for the data science team You developing APIs and connectors You're offering these qualifications Your Strengths: A degree in an IT-related field and appropriate work experience of at least 2 years Experience designing data platforms that fulfill performance and scalability requirements Cloud Providers (Google cloud or AWS) and distributed computing Strong knowledge at least in one of these: Java, Python, Scala SQL, Conceptual Database Knowledge (NoSQL, RDBMS) Ideally, experience with BigData tools like Kafka, Spark and Airflow Software engineering skills: testing, logs processing, CD / CI, etc. Drive to solving high-level challenges and curiosity to find the right methods to solve it Communication skills Knowledge in German is a plus We're offering these benefits Our Promise: At our Berlin office, you will pursue greenfield, customer-centric projects with impact on the Oetker Group both domestically and internationally.   We invite you to voice your ideas and explore new paths, in an open-minded, motivated, team-oriented environment. Our core values ​​reflect those of a family-run business, and as such such we are committed to investing in you, your personal and professional development. Interested?   Become part of our team and shape the future of the Oetker Group! Get in touch with Yvonne Scheja: Oetker Digital GmbH |   +49 (0) 30 555 796 871 |   www.oetkerdigital.com

Who is Clark (www.clark.de)? Since our founding in 2015, we follow our vision to create a world where people love insurance by using the Clark insurance Manager app.   This is not only recognized by 150,000 customer;   Bloomberg named us as one of the 50 most promising startups in the world 2017 as well.   Due to our smart technology and our expert know how, we are combining the old and the new world, which makes our products for the B2B as well as B2C-market highly attractive.   With a total funding of $ 45million, led by Portag3 Ventures and White Star Capital, we are ready to conquer the world As our Data Engineer, you ... design, develop, and operate data integration pipelines to provide high quality datasets for analytical and machine learning use-cases ingest data from diverse sources and consolidate it for further processing integrate data collection into the clark application so that we gain the right insights manage the database including performance optimization, data integrity, roles and permission management manage the infrastructure and configuration automation Your background, you ... have gained a Technical University or Bachelor's degree have at least 2 years experience in software engineering and web development have excellent skills in handling SQL and relational database have knowledge of Postgres, Javascript and ideally Ruby on Rails have experience in using tuple oriented data stores and stream processing is a plus have experience in Kafka, Mahout or Apache Flink are a plus have good knowledge of cloud infrastructure and continuous deployment This is Clark - this is what we love to offer you: besides the usual startup perks like free drinks, free coffee, flat hierarchies, an experienced management and multicultural environment with international colleagues, we are offering you a lot of space for your work, your ideas and your initiatives. we subsidize your job ticket and the company pension scheme. want eg to move forward to make your Master or MBA, we offer you to support your education while working at Clark if you need to work absolutely focused, you use our silent room - no disturbance, no noise. if you need to relocate, you have our support. you need to brush up your German?   We are offering beginner and advanced German courses! you want to share your knowledge and to inspire?   Be a Speaker and create your own Brownbag speech to inspire your colleagues. and last but not least: Sure, we know how to celebrate success!   We offer you quarterly company events, monthly team lunch & breakfast as well as our weekly Friday get together. This sounds like an exciting next step for you?   We are more than ready for your application and cannot wait to receive it.

Sparks42 delivers cutting-edge eCommerce and mobile solutions.   Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data.   Executing and providing agile solutions for content discovery belongs to our core competences.   We pride ourselves in being always first to implement and successfully deploy new technologies.   Developing innovative e-commerce and mobile commerce technologies with global reach is our passion. We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m / f). WHAT YOU WILL DO: Gain a deep understanding of our business model, data processing and DWH infrastructure Implement data pipelines and infrastructure for platforms Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks Understand and communicate effectively with internal business customers, partners, and stakeholders WHAT WE ASK FOR: You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems Solid software development skills in Java.   Python / Scala and Unix shell scripting skills will be a big plus A passion for designing and operating reliable infrastructure Experience / Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus Ability to communicate effectively with diverse teams English language fluency WHAT WE CAN OFFER: An incredibly talented team of bright, international individuals, always ready to learn, discover and implement A startup environment with the room to grow on a personal and professional level A centrally located office in Berlin Mitte To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs The opportunity to collaborate with smart and passionate people in building awesome e-commerce products Challenging global projects.   Competitive salary.   Exceptional experiences.

Berufserfahrene und Einsteiger finden bei uns neben einem tollen Team aus mehr als 10.000 netten Kollegen und über 770 ver­schiedenen Stellen­profilen viele attrak­tive Heraus­forderungen, die sich einer modernen Ver­sicherung stellen: Verur­sacht das Auto der Zukunft weniger Unfälle?

Berufserfahrene und Einsteiger finden bei uns neben einem tollen Team aus mehr als 10.000 netten Kollegen und über 770 ver­schiedenen Stellen­profilen viele attrak­tive Heraus­forderungen, die sich einer modernen Ver­sicherung stellen: Verur­sacht das Auto der Zukunft weniger Unfälle?