Werden Sie Teil der Peek & Cloppenburg KG mit Sitz in Düsseldorf und starten Sie Ihre Karriere bei unserer Tochtergesellschaf­t, der Fashion Digital GmbH & Co. KG. Die Fashion Digital ist unser zentraler IT-Dienstleister, der sämtliche IT-Services entlang der P&C-Wertschöpfungskette verantwortet. Gemeinsam mit Ihnen möchten wir unser Unternehmen voranbringen, innovative Lösungen entwickeln und Neues gestalten. WAS SIE ERWARTET Entwerfen, Entwickeln und Implementieren von skalierbaren Datenpipelines und DatendienstenVerbreitung von Best Practice Ansätzen innerhalb der Organisation um die Verwendung und das Verständnis von Daten zu etablieren und zu beschleunigenIntegration neuer Datenmanagement-Technologien und Software-Engineering-Tools in die vorhandene InfrastrukturEinführung neuer Engineering-Prozesse und -Tools zur Effizienzverbes­serungSuche nach neuen Möglichkeiten der Datenerfassung und Entwicklung neuer Use-Cases der vorhandenen DatenVerständnis für vorhandene Systeme aufbauen und neue Möglichkeiten finden, die unterschiedliche Datensätze mithilfe von Automatisierung zu verbindenZusammenarbeit mit Data-Scientists um Algorithmen zu entwickeln, einschließlich Prototypen, Vorhersagemodelle und Proofs of ConceptWAS SIE MITBRINGEN

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1.5 million active customers in 11 countries. In only 9 years on the market, we have grown to more than 500 million Euros Gross Merchandise Volume annually. More importantly, the opportunity ahead of us is massive.The Westwing team is the secret to our success.

(Senior) Data Engineer (m/f/d) Our Company Simplifying global trade is Forto’s mission from day one. Forto stands for scalable logistics technologies that allows users to own their entire supply chain. A one-stop-shop and single face to the customer that would cover the entire process chain from quotation, booking, document management, track and trace all the way to proactive exception handling and supply chain data analytics. A growing team of over 450 technology and logistics experts at the eight locations, together with financing totaling over USD 50 million, forms the basis for further growth.

As a Data Engineer at Homelike you’ll develop data pipelines, own our search page ranking algorithm and create tools to make data for stakeholders accessible and easy to analyse. Does this sound like your next challenge? Are you looking for a role in a prop-tech start-up where your work can make a real impact? Then join our BI team and become part of the Homelike family. How you are part of our success story:

Starke Idee, starkes TeamWir digitalisieren die BaustelleSchüttflix ist ein digitales Startup, das den Markt für Schüttgüter umkrempelt. Mit der Schüttflix-App können Bauunternehmer ihre benötigte Schüttgut-Menge auswählen, Preise vergleichen und die Lieferung per Live-Tracking verfolgen. Wir kippen unseren Kunden innerhalb von vier Stunden Schotter, Sand und mehr vor die Tür – so schnell liefert nicht einmal Amazon.Aber das reicht uns noch nicht. Mit immer besseren Funktionen wollen wir Schüttflix deutschlandweit – nein europaweit – an jede Baustelle bringen.

Senior Data Warehouse Developer (m/f/d) Do you take great pleasure in being responsible and further developing a state-of-the-art Data Warehouse environment? Are you passionate about organizing all related tasks and further improve the ETL process? Are you known for your out-of-the-box thinking and willing to take the challenge to coordinate our whole Data Warehouse process?We can offer you the challenge you are looking for!As part of our Data Intelligence team, the Data Warehouse team is responsible for providing business-relevant information in a comprehensive, reliable and stable environment.

YOUR TASKS: You will join the data team and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).You are instrumental in building and evolving our data and analytics architecture, data governance and quality, with a special focus on analytics / business intelligence processes of the entire company. This is a visible role with high exposure to all technical and business stakeholders in the company.REQUIREMENTS: Must haves:

As a BI team lead you will be responsible for the entire data strategy of adjoe. You will have access to state of the art technology and work closely with all business stakeholders to implement new approaches on how to leverage our data assets with new algorithms and ideas. In addition you will form and grow a new team.Adjoe is a startup developing a disruptive mobile ad solution that helps app publishers all over the globe to generate more ad revenue.

Die zu besetzende Stelle ist innerhalb der Hauptabteilung Vertrieb in der Abteilung Akquisesysteme angesiedelt. Hier begleiten Sie die Weiterentwicklung unseres DEVK-weiten Kundenbetreuungssystems DEAS (CRM). Als Mitglied unseres Datenbank-Teams kümmern Sie sich insbesondere um die systematische Analyse vorhandener Kunden- und Vertragsdaten aller Versicherungsparten, sowie die Arbeit mit den Daten in unserer Cloud-Infrastruktur. Aufgaben: Systematische Analyse von vorhandenen Kunden- und Vertragsdaten mit dem Ziel, die Datenqualität- und quantität im CRM-System stetig zu erhöhenErarbeitung neuer Datenstrukturen für neue fachliche EntwicklungenStetiger Austausch innerhalb eines crossfunktionalen Produktteams bestehend aus Entwicklern, Business Analysten und Datenbank-ExpertenBegleitung der programmiertechnischen Umsetzung von FachkonzeptenVorantreiben der Cloud-Strategie des Unternehmens im Umfeld des CRM-SystemsWissensaufbau zu notwendigen Veränderungen der Datenbank im Rahmen der Cloud-StrategieProfil:

We are looking for Bioinformatician to join in the R & D bioinformatics team in Berlin. You will be responsible for developing new bioinformatics pipelines for SARS-CoV-2 and improving current algorithms. Your tasks will be: Planning and developing bioinformatic tool chains and pipeline for SARS-CoV-2Processing and analyze sequencing data and investigate mutations of SARS-CoV-2 genomes to explore virus spread and variants circulating in EuropeMaintenance of end-user software and web applicationsClose collaboration with NGS Lab and medical team; pro-actively driving further improvement to reach targetsAssist in the standardization and management of SOPs for the R & D bioinformatics teamYou have the following skills and qualifications:

Worum es gehtDie Produktdaten und -bestände unserer zahlreichen Fashion Brands sind das Herz unseres wachsenden Portfolios und erwecken unsere Produkte zum Leben. Als Plattform haben wir Schnittstellen zu diversen Systemen auf Händler- und Markenseite, die es zu managen gilt. Gemeinsam mit deinem Team gibst du alles dafür, dass Datenintegrationen effizient über die Bühne gehen und wir unsere Datenqualität systematisch verbessern. Als Senior Data and Integrations Manager von Fashion Cloud koordinierst du komplexe technische Projekte und agierst als Schnittstelle zwischen Account Management, Engineering und Produktmanagement.

Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery! We are looking for Senior Data Engineers(f/m/d) to join our Quick-Commerce team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on warehouse management systems, our shopper app and our customer facing systems. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

WHAT YOU WILL DO Our mission at Mimi is to give everyone the best possible hearing experience and protect your hearing health. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies. Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience and prevent hearing damage. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.

The Role and your Impact at TIER Implement and optimize ML models and algorithms for productionBuild and maintain the infrastructure and deployment pipelines for ML models and algorithmsCollaborate closely with a team of Data ScientistsCreate, run and manage multiple backend services and APIs that support new and existing product capabilitiesAutonomously choose and select the best fitting technologies for the jobEnable TIER to get the maximum potential out of our dataYou’ll fit great with these Skills and Qualifications

Want to be a Hero? - Join one of the leading global online delivery platforms! We are looking for a Data Engineering Manager (f/m/d) to join our FinTech Data Department and support the build and run of worldwide innovative Wallet, Payment and Anti-Fraud solutions. If you are a Data Engineering leader who is eager to deliver solutions and bring our data engineering to the next level, an international workplace is waiting for you in the heart of Berlin!

Job Description Your Team Avaloq Insight platform is an Inhouse Big Data platform built using a set of widely adopted big data open source technologies. The aim of the platform is to provide simplified access to high volume data to solve complex financial problem using ML/AI. The platform is also used to gather meaningful insights from the high-volume financial data. Duration: 6 monthsStart: 02/2021Your mission Performance bottlenecks in latency and throughputSizing requirement for different components based on different loadsQuery performance and optimisation of massively parallel processing database componentsAutoscaling strategies for different type of compute workloadsMetrics and DevOps Dashboards for BenchmarkingCost of running the platformQualifications

We here at plista are looking for a new Data Scientist (m/f/d) to join our team. The data science team handles our internal and external clients’ data needs, builds machine learning services and develops our content recommendation engine. We are looking for a colleague that has a deep understanding of the methods and methodologies involved in machine learning, has the knowledge to build systems on a global scale in the cloud and is not shy to bring their own ideas and projects toimprove our current state of the art.

WHAT YOU WILL DO Our mission at Mimi is to give everyone the best possible hearing experience. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies. Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.

Celonis is the leader in business transformation software. Our Execution Management Systems (EMS) lifts barriers to execution capacity to maximize business performance. We give data-driven & AI technologies context and let them speak in a wholly new way based on our award-winning process mining technology, which ispowered by our in-house developed and patented PQL (Process Query Language). The Celonis Execution Management System provides a set of instruments and applications to help companies manage every facet of execution management from analytics, strategy and planning, to management, actions, and automations.

Join finn.auto to make car ownership fun & sustainable and play a key role to fulfill our mission to build the most popular car ownership provider in the world. We launched in 2019, offering an all-inclusive car-subscription in Europe. // Mission At finn.auto we create software that will manage thousands of vehicles and customers on a daily basis. You have the chance to join this team early on and work independently on our product.