About our company: freiheit.com’s software engineers have been building large-scale software systems since 1999. We are internet pioneers and we have delivered hundreds of projects for our customers that are used by millions of users with thousands of requests per second since then. In the last two decades we have been constantly reinventing and improving ourselves. Self-Improvement and learning are deeply ingrained into our company’s DNA and in the personality of all of our team members.
Was dich bei uns erwartet:Du begleitest die Initiativen von lexoffice zur Vernetzung bislang isolierter Datenbereiche und realisierst dazu den Auf- und Ausbau einer skalierbaren Dateninfrastruktur. Du entwickelst Konzepte zur Speicherung und Verarbeitung der Kundendaten im Data Lake / Data Warehouse und zielst auf eine Real-Time Infrastruktur ab. Du baust ETL-Strecken rund um die Sammlung, Speicherung, Pflege, Aufbereitung, Anreicherung und Weitergabe von Daten auf. Du verstehst deinen Beitrag Ende-zu-Ende, das heißt du gehst den Weg weiter zur Visualisierung von Data Warehouse Daten (z.
We are looking for a passionate Data Engineer to join our Analytics team and own our analytics data architecture. You will collaborate with the rest of the Analytics team and company stakeholders (such as product, UX, sales, marketing, medical, etc) to identify data needs and solve them to support insights that inform key business decisions. As part of the Analytics team, you will: Maintain and evolve our analytics data architectureHandle our data pipeline from Ingestion to StorageAlign with our Data Analysts and other stakeholders throughout the organization on data needs and implement themWork with our analysts and Product teams to strive for impact for our usersOwn our event tracking platform (Snowplow in Spark-EMR setup)Be the guardian of data qualityWork with engineering teams to define and implement new tracking events across all platformsEnsure interpretability of core data elementsOwn data modelling and data lineage across all data stores and toolsEnsure data from different sources are connected in the right way to ensure tracking across media breaks correctly and allow for attributionWe are looking for somebody who has:
Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery! We are looking for a (Senior) Python Data Engineer – Marketing Tech (f/m/d) to join our Marketing Tech team and help us in attracting new customers, creating a personalised experience for our existing customers and driving the business with data-driven insights. You will develop innovative systems to automate marketing campaigns, design a tailored user experience for each customer and question the existing decision-making processes with AI and advanced analytics solutions.
Main Duties and Responsibilities Help us create AI / ML ready datasets from Petabytes of raw data and meta-dataAutomate integration of different data-sources into a coherent flow/ data pipelines (support also data normalization and result calculation)Develop and build systems and architectures for ETLsPerform system & data testingUnderstand and apply FAIR data principlesStrong adherence to compliance & regulatory environmentsBuild algorithms toEssential Requirements Computer Science, Engineering, or Bioinformatics (Master level) plus 5 years relevant experienceExcellent programming skills (Python, C++, R)Experience in designing and implementing RESTful APIs and webservicesAn ability to interact with various data sources, both structured and unstructured (e.
Main Duties and Requirements Data capture, data cleansing, and data enrichment as a preparation step for bioinformatician/image analysis activitiesTrack the flow of data within ETL (extract, transform, load) and analysis pipelines, ensuring successful processing and data validityGeneration consolidation and re-formatting of image analysis readout tables resulting from different formats (csv., JSON etc.)Work together with bioinformaticians/ data scientists/image analysis specialists to identify optimal ways to prepare, curate and navigate their datasetsAutomating the way we currently capture data to save time, reduce errors and create high-quality datasetsDeveloping and applying FAIR data principlesWork with bioinformaticians/data scientist and data management teams to develop best practices in data wrangling/curation and storage experimental metadataWork with the software and information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets and resultsRequirements
Sebastian, Team Lead, says: “Team Red is a cross-functional team owning the DC Analytics platform, which not only powers our internal agency business but also is actively used by customers worldwide. We are a driven team which enjoys a good round of Mario Kart once in a while.” You will be working in: English (fluency required) - as we are an international team, this is our team (and company) language. Our tech stack:
Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. The business unit harnesses the power of cutting edge machine learning practices to connect the leading performance-oriented advertisers with the biggest network of publishers, reaching millions of travellers. The strategy is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners’ reach, relevance and booking volumes. travel audience is looking for a (Senior) Data Analyst to join our Data Tribe.
Wissen für die Welt von morgen. Noch nie war die Welt so vernetzt wie heute. Milliarden von intelligenten Geräten und Maschinen erzeugen riesige Datenmengen, die die reale und virtuelle Welt miteinander verschmelzen lassen. Die Umwandlung dieser riesigen Datenmengen in wertvolle Daten ist ein entscheidender Erfolgsfaktor. Siemens hat eine große Vision für das immer wichtiger werdende Digitalisierungsgeschäft. Unsere Abteilung arbeitet täglich an einzelnen Use Cases aus den unterschiedlichsten Funktionsbereichen innerhalb der Business Unit Motion Control, um die große Vision mit nachhaltigen Beispielen zu füllen.
Team: Engineering & Data, Data Engineering Location: Berlin or Remotely within similar Time Zone Contract: Unlimited, Full Time Apply by: Mar 8, 2021 At Blinkist, we don’t just accept our differences — we celebrate and support them. We are committed to provide equal employment opportunity and strongly encourage you to apply regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. If you need reasonable accommodation at any point after applying, please let us know.
Valora Digital is the tech unit of Valora, a European retailer with more than 2’700 stores. We are a team of engineers, designers, entrepreneurs, growth marketers and product managers that tackle projects that delight customers, improve processes and make the company ready for the future of retail. We call ourselves builders & doers instead of thinkers & talkers because we pride ourselves on taking ownership of projects from A to Z and not letting anything get in the way of shipping.
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
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.
We are looking for: A new team member for one of our international portfolio companies, with the headquarters in Austria. They are leading innovators and full-service providers within their digital commerce industry and they are represented in 90 markets and have 7 offices across the globe. Tasks Developing and maintaining the data infrastructure at our portfolio companyExpanding their data warehouse to cover further use cases in close collaboration with a team of data architectsResponsibility for connecting data to the data warehouse from different sources, such as backends, accounting tools, and many moreOwnership of the core analytical data models from a technical perspectiveProviding input on data models and analytical tasks from a data handling perspectiveRequirements
Die Ströer SE & Co. KGaA ist ein im MDAX der Deutschen Börse notierter führender deutscher Außenwerber, der in der Vermarktung von Außen- und Onlinewerbung tätig und in Deutschland einer der größten Anbieter von Out-of-Home- und Online-Medien ist. Darüber hinaus offeriert Ströer mit den flankierenden Geschäftsfeldern Content und Direct Media seinen Kunden umfassende Lösungen im performanceorientierten Vertrieb. Im Digital Publishing publiziert das Unternehmen Premium-Inhalte über alle digitalen Kanäle und bietet mit Angeboten wie t-online.
Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps.
The Opportunity Ever been frustrated with business and tech not understanding each other? We believe this friction can be minimized, using data insights. TechMiners’ solutions enable both tech and non-tech roles (like CEOs and investors) to make decisions that normally require deep technical skills and lengthy analysis. Our unique software product turns insights from tech data into actionable advice, transparency and ultimately trust; independently of the stakeholders’ level of technology understanding.
Wir suchen ab sofort einen Data Engineer (w/m/d) in Festanstellung. Sie möchten für unsere internationalen Kunden innovative Data Lake Lösungen oder datengetriebene Anwendungen entwickeln und vorantreiben? Themen wie Big Data, Machine Learning, IoT, Microsoft Azure, Databricks, Apache Spark oder Tensorflow sind für Sie keine Fremdwörter, sondern lassen Ihr Herz höherschlagen? Dann bewerben Sie sich jetzt! Ihr Profil: Sie besitzen eine große Leidenschaft für die performante Verarbeitung großer Datenmengen auf Basis von Cloud Technologien (Microsoft Azure) bis zum Data Lake Architektur-Design.
The Role As Image Data Scientist you will develop innovative and accurate algorithms and tools for multiple therapeutic areas across several imaging modalities (H&E, IHC, mIF, IMC, PET/CT), being fully connected with AstraZeneca’s translational medicine, software development and data sciences teams. The role also includes exchange with the scientific Artificial Intelligence community by publications and conference presentations. Main Duties and Responsibilities: Support business insight through the manipulation and analysis of data from histopathology, radiology, transcriptomics and genomics, using heuristic and machine learning and/or deep learning methodologies.
Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery! We are looking for a (Senior) Data Engineer – Data & Machine Learning (f/m/d) experienced in Python to join our Data & Machine Learning team to transform the company’s operations to become a data-powered organisation and drive efficiency. 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!