The Role and your Impact at TIER Within 1 month, you’llComplete TIER’s company-wide onboarding program where you’ll get to know other new colleagues in your cohort, learn about the business and find out what we value at TIER.Get a comprehensize introduction to our infrastructure (Terraform, Kubernetes, Helm, Kafka, Grafana) from your new teammates.Dive into Data Products engineering by pair-programming with your teammates in Python and learn how we are working in continuous cycles of Discovery and Delivery.

You’ll join the Performance Measurement Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activities. Find out how we do this here.Support our data scientists by preparing features for their models to let them focus on data science instead of data preparation and get insights into their work on our machine learning platform including AWS SageMakerCollaborate with our product managers on defining roadmaps and ideas to further develop our products.

You’ll join the Performance Measurement Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activities. Find out how we do this here.Support our data scientists in productionizing machine learning pipelines on AWS.

Werde ‘Data Architect (m/w/d)’ bei *um in Berlin “Lebe ein wenig mit uns in der Zukunft und entwickle gemeinsam in agilen Teams individuelle Lösungen für unsere Kunden” Wir suchen Verstärkung für unser außergewöhnliches Team bei „The unbelievable Machine Company“. Als Experten mit Hand, Hirn und Herz entwickeln wir präzise IT-Lösungen für die individuellen Herausforderungen unserer Kunden. Unsere Steckenpferde sind die Bereiche Data Science, Cloud Services und Hosting. Wir reduzieren komplexe Problemstellungen mit neuen Denk- und Handlungsansätzen und schlagkräftigen Technologien.

Job-ID: TT-T-SWH-26227 (Berlin, Gifhorn) Ihre Aufgaben Zur Absicherung der Entwicklung autonomer Fahrzeuge und neuer Mobilitätsdienste entwickelt und betreibt die Abteilung Vehicle IT die IAV-Big-Data-Plattform. Technologien und Methoden wie Hadoop, Spark, Kafka, Machine Learning und eine verteilte, globale Datenhaltung sind die Enabler, um gemeinsam mit unseren Kunden die Mobilität von morgen zu gestalten. Wir suchen zu diesem Zweck Verstärkung im Bereich IT-Architektur, um gemeinsam die Brücke zwischen IT und Automotive zu schlagen.

Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.

For you it’s a leap in your career, for us it’s the future of finance! Founded in Berlin in 2014, finleap is Europe’s number one Fintech ecosystem. We are renowned for our fast execution in building successful, innovative and market-changing Fintech companies. Combining entrepreneurial execution, technological capabilities and diverse talent from over 60 different countries, finleap continuously challenges the status quo to reshape the way technology impacts the financial market. With 14 established ventures and new ones being launched each year, we have a wide variety of opportunities.

Werde ‘Data Architect (m/w/d)’ bei *um in Berlin “Lebe ein wenig mit uns in der Zukunft und entwickle gemeinsam in agilen Teams individuelle Lösungen für unsere Kunden” Wir suchen Verstärkung für unser außergewöhnliches Team bei „The unbelievable Machine Company“. Als Experten mit Hand, Hirn und Herz entwickeln wir präzise IT-Lösungen für die individuellen Herausforderungen unserer Kunden. Unsere Steckenpferde sind die Bereiche Data Science, Cloud Services und Hosting. Wir reduzieren komplexe Problemstellungen mit neuen Denk- und Handlungsansätzen und schlagkräftigen Technologien.

About Atfarm Atfarm (www.at.farm) is on a mission to feed the world in a more sustainable way. We’re starting by making precision farming available to every farmer by combining the latest in satellite imaging with sophisticated algorithms built on decades worth of experience in agronomy (the science of crops). At our core, we help farmers increase their harvest yield whilst using fertiliser more accurately and sustainably. Atfarm is a new startup venture by Yara International, a leading provider of crop nutrition products, solutions and knowledge to 20 million farmers across 160 countries.

As a Senior Developer at CARFAX Europe you will be a part of an agile, cross-functional team that is responsible for the full lifecycle and operation of its product(s). You will develop tools and services for both our internal and external customers. Building on your valuable experience as a software craftsman, you will enable the team to establish and improve sustainable practices such as Test-Driven Development, Object-Oriented Design, and Pair Programming.

Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications and enables the launch of new applications by reducing hardware footprint, latency and costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected vehicles for all sensor, video and 3D mapping data.

Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications and enables the launch of new applications by reducing hardware footprint, latency and costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected vehicles for all sensor, video and 3D mapping data.

At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.  Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.  Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

SW Architekt Micro-Services (m/w) Full Stack - für Smart Data Discovery Produkte Referenz: SO-FSD-60518 | ab sofort | Hamburg Wer wir sind data42 ist ein junges, innovatives Wachstumsunternehmen in einer etablierten Unternehmensgruppe im Herzen Hamburgs. Wir entwickeln eine Smart Data Discovery Software der nächsten Generation, welche die User Experience mit Hilfe von Künstlicher Intelligenz verändern wird. Business User ohne tiefergehendes analytisches Expertenwissen werden dazu befähigt die eigenen Fragestellungen datengetrieben interaktiv zu analysieren, Erkenntnisse zu gewinnen und Entscheidungen zu treffen.