Homegate is the leading digital real estate classifieds platform in Switzerland, with more than 8 million visits per month and more than 100’000 properties currently on offer. Our mission is to empower Switzerland’s decisions around real estate. We help people find their best place to live and support professional realtors in running their business efficiently and in a data-informed manner. Do you want to become a part of a company with a strong mission and an open-minded work culture?
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:
Your tasks will be: We are looking for data scientist to join our R & D bioinformatics team in Berlin. You will be responsible for developing cutting-edge advanced data analytic algorithms and models from next generation sequencing data Data management tasks and bioinformatics algorithm developmentData mining, interpretation and analysisStatistical analysis and visualizationDevelopment and curation of bioinformatics tools and databasesClose collaboration with business owners; pro-actively driving further improvement to reach targetsYou have the following skills and qualifications:
Data Engineer (m/w/d) nördliches Hamburg Deine Aufgaben: du entwickelst einen Consumer Data Warehouse Architektur von Anfang an mit und betreust diese kontinuierlichDu übernimmst die Verantwortung in einer cloudbasierten Datenmodellierungsinfrastruktur von den Rohdaten bis zum fertigen ProduktDu entwickelst und implementierst logische Data-Pipelines und stellst Daten und Features zur Entwicklung von statistischen Modellen und Algorithmen bereit.Du stellst durch die Entwicklung von Tools und Services eine hohe Datenqualität darAbrufen von real-time DatenDein Profil:
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.
Sie leben und lieben Data & Analytics? Sie überzeugen mit Wissen und Können und wollen gemeinsam mit Ihrem Team die digitale Transformation der DEVK aktiv mitgestalten? Dann sind Sie der richtige Kandidat (d/m/w) für uns! Aufgaben: Fachliche und disziplinarische Leitung der Abteilung Data & Analytics mit derzeit 14 Mitarbeitenden im Bereich Data Science, Data Engineering und Data ArchitectureWeiterentwicklung und Umsetzung der Data & Analytics Strategie eingebettet in unsere Unternehmens- und IT-StrategieÜbergeordnete Verantwortung für die Betreuung der BI & A-Anwendungen inkl.
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:
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.
Was dich bei uns erwartet:Du begleitest Initiativen zur Vernetzung bislang isolierter Datenbereiche und realisierst dazu den Auf- und Ausbau einer skalierbaren Dateninfrastruktur.Du entwickelst Konzepte zur Speicherung und Verarbeitung von 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 end-to-end, das heißt du gehst den Weg weiter zur Visualisierung von Data Warehouse Daten (z.
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.
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.
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.
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.
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!
ABOUT US Unzer is a fast-growing, innovative, and modular platform for international payment transactions. Over 600 of our payment experts and tech enthusiasts throughout Europe today work on helping retailers achieve sustainable growth in a dynamic market. We provide them with the modules, which are easy to integrate, cover the entire spectrum of payment management: from the processing of various payment types, through automated analytics of customer behavior and requirements, all the way up to integrative risk management.
The spirit of a startup at one of Germany’s largest family-run businesses? A contradiction? Certainly not: At Oetker Digital we support our group companies in shaping their digital agenda and share our competence to pursue the digital future of the Oetker Group. We have a deep understanding of emerging trends and help to develop new business fields. Our ambitious goals will lead us and our group companies along exciting paths!
At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It’s a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide.
Marley Spoon is bringing delightful, market fresh and easy cooking back to the people, while re-inventing the global food supply chain to reduce unethical food waste. We are connecting consumers with quality producers, providing fresh ingredients directly to customer’s homes and we are present in Europe, the US and Australia, shipping more than 140 000 food boxes every week. The data engineering/machine learning team We are a lean team working closely with the Data Warehousing, Data Science and DevOps Teams.