125 Data Engineering jobs

Introduction Hours: 40 Competitive salary a year on a permanent 35-hour per week contract Send in your application by 31st March 2019. Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.   What you'll be doing Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.   Who we're looking for As a minimum requirement you’ll: Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement Have excellent stakeholder management and influencing skills It would be nice if you also had: Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage Experience of appliance databases, such as Teradata Have worked in the financial sector for part of your career to date The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? Please apply by using the  'Apply now'  button. No recruitment agencies please.

Introduction Hours: 40 Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. Who we're looking for We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have: Advanced and proven technology design skills and capabilities for data lake and data warehouses design Good stakeholder management and engagement skills Experience communicating and influencing peers and management The ability to react with pace to manage changing demand Experience of different delivery methodologies – Waterfall, Agile, DevOps Experience in task management   You will have the experience in the following areas: Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI) Using Informatica and Teradata Knowledge of ETL frameworks Understanding of end-to-end IM environments Data modelling Data mapping Up to date with emerging technologies and trends, and awareness of open source tooling for big data Worked in and knowledge of the finance sector Proven leadership, mentoring and recruitment experience. What you'll be doing Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? You can apply via the  ''Apply now''  button.

Introduction Hours: 40 Up to £73,436 a year on a permanent 35-hour per week contract Send in your application by 31st March 2019 Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery.  Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies. What you'll be doing  Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.   Who we're looking for  As a minimum requirement you’ll: Have at least 1 years’ experience of data lake and/or data warehouse delivery with: Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement Be a strong team player who enjoys and thrives on collaboration across colleagues and teams Have excellent stakeholder management and influencing skills It would be nice if you also had: Experience of working in an Agile environment using SCRUM/Kanban Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to a Healthcare scheme Access to an annual performance related bonus scheme Interested? Please apply via the  'Apply now'  button.

Introduction Hours: 40 Up to £73,436 a year on a permanent 35-hour per week contract Send in your application by 31st March 2019   Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on the identification, analysis and acquiring of strategic data sources for the enterprise data lake, establishing an enduring in-house sourcing, onboarding and publishing capability to enable and support delivery of onwards data strategy and supporting adhoc exploitation and discovery initiatives. Combining accountabilities for planning, source procurement, delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution. Who we're looking for As a minimum requirement you’ll: Have significant experience of data lake / warehouse / business intelligence implementations gained in a mix of industry sectors Be a strong leader with a significant level of technical competence as you will be required to setup and lead a team of engineers alongside setting strategy Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement Have a track record of collaborative working across disparate business and IT disciplines Demonstrable experience and understanding of business processes and technologies involved in customer interactions and the onboarding and servicing of financial products and services Have excellent stakeholder management and influencing skills It would be nice if you also had: Experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage in an analytical context Experience of appliance databases, such as Teradata A strong understanding of Data Architecture principles Appreciation of varied application delivery methodologies What you'll be doing Reporting to the Snr Mgr Data Engineering, you will be working within the context of an ambitious data landscape consolidation agenda and alongside an exciting portfolio of enterprise level change. You will lead a team of data engineers responsible for all aspects of data onboarding and maintenance from collaborative investigation of business processes that create and master data, sampling, profiling and assessment of candidates, to commissioning and integration of robust and fully documented interfaces resulting in a secure GDPR compliant presentation of the data assets for safe onward integration and exploitation. Working with D&A Change demand functions you will engage with projects and other change vehicles to understand and log their upcoming demands for, or impact upon, data within its operational context and assess and highlight their synergies or conflicts to the wider D&A community. Working with management stakeholders within Communities across the Society, and externally too, you will establish and maintain strong ongoing working relationships with providers of data. Working directly with Data & Analytics senior stakeholders you will collate and present competing demand for data from across the delivery capabilities and, equipped with feasibility analysis and estimates, you will recommend, agree and adjust priorities and progress sprint planning for ongoing execution against an evolving Roadmap that you will maintain. Working with D&A Governance Stakeholders you’ll gather evidence and feasibly on sourcing options for data demand as it arises to either pursue commissioning of interfaces on a “right first time” basis or to pursue early release of value with follow on remediation. You will ensure data is catalogued, inventorised and enriched with technical metadata and verify that it has been tagged with an appropriate security classification. Working closely with Architecture you’ll be investigating and shaping options for data supply from hitherto unfamiliar or emerging source technologies and agreeing recommendations for leverage of existing or new integration patterns and technologies. Working with Analysis & Design you’ll be driving continual improvement of the data onboarding capability through extension of metadata driven ingestion and publication capabilities, creation of new code assets to support emerging integration technology options, and shaping the overall batch orchestration design The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to a Healthcare scheme Access to an annual performance related bonus scheme Interested? You can apply via the  ''Apply now''  button.

Introduction Hours: 40 Up to £73,436 a year dependent on experience Permanent 35-hour per week contract Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery. What you'll be doing Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient.  Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”. Who we're looking for In addition to an inquisitive mindset and a passion for innovation, you will also: Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus Have a background in data engineering or operational support, again within a data domain Be experienced in driving both innovation and automation Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy Have excellent stakeholder management and influencing skills It would be nice if you also had: Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage Experience of appliance databases, such as Teradata Have worked in the financial sector for part of your career to date The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? Please apply by using the  'Apply now'  button. No recruitment agencies please.

Agil, lösungsorientiert und technologisch interessiert – das beschreibt Sie mehr als gut? Und Ihr technisches Können steht Ihrer persönlichen Kompetenz in Nichts nach, denn Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um uns in Sachen Big Data einen ordentlichen Schub nach vorne zu geben! Jump on. Ihre Aufgaben Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Abhängigkeiten zu anderen Prozessen und Systemen haben Sie dabei stets auf dem Schirm und unterstützen so optimal das Requirements Engineering, die Strukturierung von Arbeitspaketen sowie deren Bewertung. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei immer eng mit den jeweiligen Fachbereichen vernetzt – auch auf internationaler Ebene.   Ihr Profil Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack und Linux sowie Kenntnisse in Kafka und Streaming Praxis im Systemmonitoring, Interesse an hochverfügbaren verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing Grunderfahrung in agiler Entwicklung (Scrum, Kanban, Spotify Agile) und in professionellen Entwicklungsworkflows Empathischer aber auch durchsetzungsstarker und strategisch denkender Teamplayer Sehr gutes Deutsch & Englisch, schriftlich wie mündlich Bewerben Sie sich jetzt online bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere

  Bertelsmann Data Science Program – MEDIA N   We are inviting you to join MEDIA N   , our international data science rotational program. During the year-long program, you will be involved in implementing a number of data-related projects throughout various Bertelsmann divisions worldwide. You will gain insight from top data experts into the wide array of our digital business models within media, services and for-profit education. Join our growing data community and add your experience, knowledge and vision to our data-driven philosophy. What you should bring: M.Sc. or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, Physics or related topics Advanced knowledge of standard methods across the entire data science pipeline Proven experience working with data science (via internships, research projects, etc.) Problem-solving mindset with strong relationship building, collaborative and communication skills Strong knowledge of machine learning methods Solid programming skills in Python and R; additional programming languages such as SAS, Scala, Spark, C/C++ and/or Java are a plus Knowledge of databases, database concepts, database design and related languages / tools such as SQL, NoSQL, Hive, etc. Experience with mining massive data sets (ex. with Hadoop) and visual storytelling expertise are a plus Geographic flexibility; travel and relocation will be required Foreign languages are a plus What you‘ll be doing: Design new data products and develop big data capabilities in order to address business model challenges and offer solutions Collaborate with international teams to drive usage and adoption of new data products and capabilities Use and further enhance machine learning methods and tools Understand and leverage new data sources and integrate traditional structured data with raw data from websites, social media and third parties Model and frame business scenarios that are meaningful and impact critical business decisions Support change within the organization Please apply online, as we do not consider applications submitted by mail, fax, or e-mail. We welcome applications from people who will contribute to the diversity of our company. For more information about the program visit: https://data-science-bertelsmann.com/ Introducing ourselves: Bertelsmann is a media, services and education company that operates in about 50 countries around the world. It includes the broadcaster RTL Group, the trade book publisher Penguin Random House, the magazine publisher Gruner + Jahr, the music company BMG, the service provider Arvato, the Bertelsmann Printing Group, the Bertelsmann Education Group and Bertelsmann Investments, an international network of funds. The company has 119,000 employees and generated revenues of €17.2 billion in the 2017 financial year. Bertelsmann stands for entrepreneurship and creativity. This combination promotes first-class media content and innovative service solutions that inspire customers around the world.

Salary - £38,000 to £44,660 Grade – SEO FTC 2 years Closing date – 19/03/2019 Ofqual regulates the Awarding Organisations who provide qualifications in England. Central to our decision making capabilities is accurate and timely data. We are constantly enhancing our use of data and integration with other sources of information to improve our business processes. As a Manager Data Services professional, you should have previous hands-on experience of Microsoft Azure data technologies and be comfortable working on cloud solutions. You will be experienced in developing innovative ways of collecting, processing and presenting data. In this role you will be part of the team responsible for expanding our Azure data platform and data collection capabilities using the latest technologies. As a member of the Data Services (Engineering) Team you will be involved in all aspects of this process from designing data collections and validation, ETL, design of tabular models to the production of reports and dashboards in PowerBI. This is an exciting opportunity to broaden your skills and work as part of a small expert team.  You will be able to discuss ideas with your colleagues and try new technologies and features in Microsoft Azure.  Skills required Proven experience with the Microsoft BI stack Developing tabular models using a Kimball methodology Integrating multiple data sources Expert analytical and problem solving capabilities Experience of working with stakeholders at all levels

Komplexe Zusammenhänge analysieren, tragfähige Lösungen konzipieren, praktische Tools entwickeln – das ist Ihr Traumjob? Sehr gut! Wenn Sie dazu noch das nötige technische Know-how mitbringen und als Teamplayer gerne an einem Strang ziehen, sind Sie für uns genau der oder die Richtige! Jump on. Ihre Aufgaben Mit smarten Konzepten und kongenialer Umsetzung geben Sie unseren Big-Data-Projekten den richtigen Push. Dazu nehmen Sie Vertriebssignale auf und setzen Sie in passgenaue Java-Anwendungen um – das Ganze im Rahmen von Real-Time Analytics. Den reibungslosen Betrieb – inkl. den der eingesetzten Plattform – und das Monitoring der Eigenentwicklungen haben Sie dabei selbstverständlich auch auf dem Schirm. Und da Sie ein wacher Kopf sind und das wichtige Quäntchen an nachhaltiger Effizienz mitbringen, geben Sie entscheidende Impulse in puncto Prozess-Automatisierung und Optimierungspotenzialen. Ihr Profil Erfahrung in der (agilen) Java-Anwendungsentwicklung Gute Linux-Kenntnisse und Erfahrung mit Konfigurations- bzw. Automatisierungstools (z. B. Ansible, Puppet und Automic) Know-how in Sachen Continuous Integration & Delivery Versiert im Umgang mit Eclipse, IntelliJ, Spring, Maven sowie Jenkins Erste Praxis mit Data Streaming und Kafka Gutes Deutsch & Englisch   Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere

Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserem Team die entscheidenden Impulse zu geben. Jump on. Ihre Aufgaben Mit Blick auf die globale Gesamtarchitektur der ING Group analysieren, designen und realisieren Sie Anforderungen im BI-/Reporting-Umfeld. Dazu gehört auch, dass Sie Business-Objects-Universen von der Erstellung über den Support bis hin zum komplexen Reporting betreuen. Nicht zuletzt können wir uns in puncto Umsetzungsdokumentation ebenso auf Sie verlassen wie bei der Übernahme von IT-Systemverantwortung inkl. Teilprojektleitung und Sonderaufgaben. Kurzum: Wir freuen uns auf Sie als agilen Teamplayer, der im Datenkosmos stets den Überblick behält. Ihr Profil MINT-Studium mit Schwerpunkt Datenanalyse oder eine gleichwertige Qualifikation Routine in Requirements und Software Engineering Souverän im Umgang mit Datenanalyse-Tools sowie im Reporting (z. B. PL/SQL, Business Objects, ETL-Werkzeuge) Kenntnisse der IT-Prozesse in einer Bank (ITIL, Jobsteuerung) sowie dem Wholesale-Banking-Produktportfolio Erfahrung mit agilen Arbeitsweisen (z. B. Scrum) Sehr gutes Englisch Kommunikationsstarker Teamplayer mit systematischer und selbstständiger Arbeitsweise   Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere

Weshalb zuschauen, wenn man auch mitgestalten kann? Sie bringen die Dinge zum Laufen. Und machen sie dann jeden Tag ein bisschen besser. Sie denken auch mal unkonventionell oder probieren vermeintlich Unmögliches aus – gern gemeinsam mit den passenden Leuten. Kommunikative Stärke, IT-Know-how und ein Auge für komplexe Zusammenhänge – Sie merken schon: Hier ist Ihr Können gefragt. Jump on. Ihre Aufgaben Sie sind zu gleichen Teilen Data Scientist, Geschäftsprozess-Spezialist und versiert im Requirements Engineering? Perfekt. Für die Anforderungs-Analyse unserer Gesamtbanksteuerungssysteme suchen wir jemanden, der das Big Picture der IT-Landschaft überblickt und spielend zwischen Bank- und User-Perspektive wechseln kann. Dazu gehören selbstverständlich Fit-/Gap-Analysen, Business Cases, Product Lifecycle Management im Umfeld des Data Warehouse sowie die interaktive Erfassung von User Stories zusammen mit dem Product Owner. Sie sehen: Zusammen denken und arbeiten wir agil, optimieren kontinuierlich Geschäftsprozesse und passen uns so den sich stetig wandelnden Gegebenheiten und Anforderungen an. Ihr Profil Studium der (Wirtschafts-)Informatik, der Wirtschaftswissenschaften oder eine vergleichbare Qualifikation Exzellente Kenntnisse und Praxiserfahrung in Requirements und Software Engineering Fundierte Fachkenntnisse im Gesamtbanksteuerungsbereich z. B. im Meldewesen oder im Analytischen Risk Management Know-how im Umgang mit den gängigen Datenanalyse-Tools (SQL, ETL etc.) Kenntnisse der agilen Methoden in einer Linienorganisation Gutes Englisch in Wort und Schrift Belastbarer, kommunikativer Teamplayer   Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere

Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserer Expertise Big Data die entscheidenden Impulse zu geben. Jump on. Ihre Aufgaben Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Dabei haben Sie den vollen Überblick, kennen die Abhängigkeiten & Schnittstellen und unterstützen so optimal das Requirements Engineering sowie die Strukturierung und Bewertung von Arbeitspaketen. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt. Ihr Profil Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack & Linux sowie Kenntnisse in Kafka und Streaming Grunderfahrung in agiler Entwicklung (Scrum/Kanban/Spotify Agile) und in professionellen Entwicklungsworkflows Praxis im Systemmonitoring, Interesse an hochverfügbaren, verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing Empathischer, aber auch durchsetzungsstarker und strategisch denkender Teamplayer Sicheres Englisch Ihre Bewerbung Bewerben Sie sich jetzt bei Deutschlands  drittgrößter Privatkundenbank: ing.de/karriere

As a Senior Machine Learning Engineer, you will play a key role in designing and developing impactful data products. You will have significant ownership and responsibility on problems such as search relevance, recommendations, categorisation or search term value prediction. About GetYourGuide: With 450+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travellers find and book things to do and explore their destination. We connect these travellers to our vast catalog of amazing experiences through our online marketplace. Team Mission: The Data Product team's mission is to transform our vast amount of data into intelligent products our customers love. We work on a variety of problems as members of cross-functional teams and use cutting-edge algorithms and data infrastructure. Responsibilities: Build data products that satisfy our customers and boost our business. Develop your ideas from hypothesis testing over prototyping to code in production. Identify new product opportunities based on the vast amount of data we collect and store. Optimize and improve existing features or data processes for performance and stability Support the growth of a world-class data team by participating in recruiting, team building and mentoring. Requirements: Software Engineering: You are proficient in Scala or Python (and willing to learn Scala) and possess strong CS fundamentals. You write efficient code with a keen eye on scalability and maintainability. Data Pipelines: You have a track record in developing scalable production data workflows using Apache Spark. Machine Learning: You have experience applying relevance and machine learning algorithms. You understand the ins and outs of building intelligent products with data. Business Experience: You applied the skills mentioned above in a business environment for 4+ years. A track record of result-driven work gives evidence of this. Nice to have: Experience with data analysis concepts and tools (SQL, Pandas, R) We Offer: Work on a product that helps create memorable travel experiences Smart, engaged co-workers Speak English in the office with people from over 50 nationalities Virtual stock options - be part of our success story Monthly Hackathons and weekly tech talks Annual external training budget - be constantly learning Well stocked kitchen and our famous pizza & beer Friday’s GetYourGuide vouchers and free German lessons Relocation Assistance Curious? Make sure you check out life at GetYourGuide on our  blog . You can also take a look at  our Tech Radar  for an insight into our stack.

Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Denn Sie wissen, dass Teamplay und Kommunikation mehr als die Hälfte des Weges sind? Perfekt! Beste Voraussetzungen, um in unserer Expertise „Big Data“ entscheidende Impulse zu setzen. Jump on.   Ihre Aufgaben: Sie betreuen und entwickeln containerisierte Lösungen rund um das Thema Big Data, Fast Data & Analytics. Dabei können Sie spielerisch zwischen Entwicklungs- und operativer Ebene wechseln und machen uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Angetrieben von Neugier und Forschungsdrang sind Sie immer den einen Schritt voraus, reizen neueste Technologien aus und entwickeln gemeinsam im Team hochperformante Lösungen für unsere Kunden. Nicht zuletzt übernehmen Sie gerne die Verantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt.   Ihr Profil: Begeisterung für moderne Technologien im Big-Data-Umfeld sowie Spaß an agilen Methoden (Scrum/Kanban/SpotifyAgile) Fit im Umgang mit Linux-Systemen Grundkenntnisse professioneller Entwicklungsworkflows und erste Praxis im DevOps-Umfeld (z. B. mit CI/CD) Interesse an persönlicher Weiterentwicklung und offen für neue Wege & Ansätze zur Umsetzung innovativer Lösungen Empathischer sowie durchsetzungsstarker und strategisch denkender Teamplayer Sehr gutes Deutsch und Englisch Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere