Leidenschaft für Big Data, neue Technologien, agiles Mindset, Kreativität und Kommunikationsgeschick – erkennen Sie sich wieder? Perfekt! Dann sind Sie genau der oder die Richtige, um uns in puncto Data Foundation auf das nächste Level zu heben. Verstärken Sie unser Team! Ihre Aufgaben Sie fokussieren sich ganz auf den Aufbau und die Pflege unserer Data-Lake- & DWH-Plattform samt Frameworks und unterstützen unsere agilen Squads & Tribes bei der Definition der Daten-Qualitäts-Regeln sowie der korrekten Darstellung der Datenherkunft (Data Lineage).

As Data Scientist you will have end-to-end ownership over all internal processes that enable data-driven decisions. You will make use of your technical expertise and deep analytical skills to evaluate and make sense of millions of data points gathered daily across three platforms. Your entrepreneurial mindset will allow you to help drive business decisions based on your findings. Your work day to day will involve managing and improving our data warehouse, driving the decisions of various teams throughout the company.

RESPONSIBILITIES In this position, you will support the smooth operation of our planning systems for the BASF business unit Agricultural Solutions. You will actively participate in building a new service in the field of Operations and Planning.You will be responsible for maintaining, building and expanding our database structures in SAP APO and IBP.By checking information via various sources, you will make a major contribution to the completeness, consistency and accuracy of our data base.

RESPONSIBILITIES We are looking for a candidate to join our Agricultural Solutions Expert Services team and support us in data management for agricultural products. o You will be responsible for the administration and maintenance of our databases and will continue to develop them further. o In the process, you will stay in close contact with our internal and external partners from the various countries. o Furthermore, you will optimize the processes that apply in database management in order to drive the development of digital platforms in agriculture.

As a Machine Learning Engineer (m/f/d) at Smaato you build the interface between the Data Scientists and Data Engineers, working mostly with TensorFlow, Python and AWS Sagemaker to translate state-of-the-art algorithms from proof-of-concept stage to production-ready solutions. Due to our cutting edge platform processing an average of 20 billion inbound advertising queries per day, and each of these incoming requests generate multiple outbound requests to our partners, we are talking about more than 12 terabytes of data running on our platform daily.

Who we areThis ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work. At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – help more than 10 million people around the globe to keep learning new, exciting things each and every day.In 2017, we received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award.

Your tasks: As a Data Science Engineer at Holoplot, you will empower a data driven approach across the full organisation. You will work within agile, cross disciplinary teams for manufacturing, sales, marketing, SCM and hardware development, fundamentally enhancing their work experience with data and insights. You will architect, build and introduce cloud-based infrastructure for collecting, analysing and visualising all data coming out of the various sources for applications. like predictive maintenance/quality, automation, robotics, growth, QA and others.

DEIN JOBTransformation der Stakeholder-Anforderungen in konkrete Spezifikationen für das Data Warehouse- und BI-SystemEntwicklung und Pflege der Datenerfassung mit Digital Analytics-Lösungen (Google Analytics, Google Tag Manager)Konzeption und Entwicklung von Standards für Analysen, Reports und DashboardsBearbeitung von abteilungsübergreifenden Analyseanfragen und -anforderungenUnterstützung und Schulung der operativen Bereiche im Umgang mit den BI- und Digital Analytics-Anwendungen (u.a. MDX Web Frontend, Saiku, Google Analytics, Google Tag Manager)Vollständige Aufbau eines Tableau basierten BI-Systems DEIN PROFILEin abgeschlossenes Studium in Wirtschaft, Naturwissenschaften oder einem vergleichbaren FeldMindestens 4 Jahre relevante Berufserfahrung im Bereich Data und Analytics, idealerweise mit Schwerpunkt Business Intelligence in einem E-Commerce-UnternehmenSichere SQL-Kenntnisse und praktische Erfahrung mit BI-Anwendungen wie BOARD, Tableau oder QlikViewDigital Analytics-Kenntnisse (z.

DEIN JOB Transformation der Stakeholder-Anforderungen in konkrete Spezifikationen für das Data Warehouse- und BI-SystemEntwicklung und Pflege der Datenerfassung mit Digital Analytics-Lösungen (Google Analytics, Google Tag Manager)Konzeption und Entwicklung von Standards für Analysen, Reports und DashboardsBearbeitung von abteilungsübergreifenden Analyseanfragen und -anforderungenUnterstützung und Schulung der operativen Bereiche im Umgang mit den BI- und Digital Analytics-Anwendungen (u.a. MDX Web Frontend, Saiku, Google Analytics, Google Tag Manager)Vollständige Aufbau eines Tableau basierten BI-Systems DEIN PROFIL

Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.Experience serving in the capacity of a technical sales engineer in a cloud computing environment or experience in a customer facing role.Experience with database technologies.Experience with data migration strategies and moving large scale production systems. Preferred qualifications: Master's degree in Computer Science or other technical field.Experience with optimizing database performance with respect to transactional and/or analytic workloads.Technical sales experience or professional consulting experience in the fields of systems integration, large scale data transfer/management, and enterprise database performance.

As a Data Engineer you will be working on our large scale analytical databases and the surrounding ingestion pipeline. Your job will involve constant feature development, performance improvements and assure platform stability. The mission of our analytics team is “data driven decisions at your fingertips”. You own and provide the system that all business decisions will be based on. Precision and high quality results are essential in this role. You can expect an international team of Developers who are based in Hamburg.

About the job 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.

For our Query Engine we are looking for a C++ Engineer, who develops and implements new features and algorithms for our “core engine“ and increases the reliability and performance of existing components. With your extensive expertise in C ++ and Java and your experience in the development of high performance applications you create new, innovative algorithms and operators for our query engine. Are you looking for a product you can develop with passion and drive?

We are on the lookout for an experienced Senior Data Warehouse Engineer to join us in our journey establish ourselves as a big player in the online payment processing industry. PXP Financial team have 50 years of combined experience in shaping and leading innovation in the payment space. Today we have 250 employees from 25 nationalities working across 6 office locations: UK, Austria, Bulgaria, India, Australia and the US. The world of payments is dynamic and so is PXP Financial.

Do you strive to apply Machine Learning on real world challenges? Do you dream of translating your ideas into action? Ownership and self-responsibility don’t scare you off and you fancy complex algorithms? Come work with us! Celonis is one of the fastest growing tech companies worldwide. We are pioneers in process mining, an exciting big data technology, that breaks silos and enables companies to transform their business. Using our machine learning algorithms, our customers are enabled to get even more profound insights into their processes and acquire the information they long for to change the game.

As a Data Engineer you will be working on our large scale analytical databases and the surrounding ingestion pipeline. Your job will involve constant feature development, performance improvements and assure platform stability. The mission of our analytics team is “data driven decisions at your fingertips”. You own and provide the system that all business decisions will be based on. Precision and high quality results are essential in this role. You can expect an international team of Developers who are based in Hamburg.

About the job 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.

Rund 1.500 Mitarbeiter arbeiten bereits daran, für unsere Kunden den Traum vom Eigenheim zu erfüllen! Tragen auch Sie dazu bei – in einem kollegialen wie leistungsorientierten Umfeld, das Ihnen viel Raum für Ihre eigenen Ideen bietet. Erleben Sie bei uns Hochleistung und machen Sie das Zuhause der Baufinanzierung zu Ihrer beruflichen Heimat: beim wachstumsstärksten Finanzdienstleister in Deutschland als Data Scientist (m|w) an unserem Standort München Das erwartet Sie Als Visionär kombinieren Sie Daten-Expertise mit einer unternehmerischen Sichtweise und optimieren somit unsere Dienstleistung aus Kundensicht.

This role sits within the Data- and Tech-organisation and directly partners with Data Scientists and Product Managers to help create valuable products for our users. We’re looking for a highly skilled engineer, who is passionate about turning data into valuable product for our customers. Your Responsibilities: Successfully partner with Data Scientists to build advanced services and architecture to provide scalable data products for a high-traffic web platform Successfully partner with system operators to design data generation and provisioning architectures.

If you are an architect that enjoys designing distributed applications for large-scale clusters and strives to create high quality code - we have just the right challenges for you ! Self-motivation and results orientated internal drive as well as problem solving mentality would fit in perfectly within our team.  At Ultra Tendency you would: Solve Big Data problems for our customers throughout the project life cycleLead a development team and ensure high quality standards and best practicesWork with our customers to identify requirements and design applications according to their needsDocument architectural decisions and implement them together with the rest of the development teamIdeally you have: