134 jobs found

Be part of the next big thing in travel and join Zizoo, the world’s leading boat holiday platform. Named one of Forbes’ top ‘Travel Tech Startups Taking Europe by Storm’, Zizoo is bringing boat holidays to the mass market, offering over 30,000 boat products across 500+ destinations worldwide. Zizoo’s unique business model and tech suite sets it apart from the competition by monopolising supply and demand while offering a seamless booking experience to the end customer. Backed by Europe's leading tech investors, Zizoo’s team is growing fast as we continue to transform the travel industry. Your Mission Optimize data visualization Maintain and build ETL pipelines Create analysis based on specifications from stakeholders Stakeholder management and consultation in any data related questions Analyse data trends and elaboration of an understanding for development Identify metrics, KPIs and any data needs to support various business units Collaborate with data colleagues and product owners You're qualifications: 5+ years in a Data Analyst position or similar Expert with writing SQLs including query optimization Building pipelines for new data sources and model them to the DWH Solid Tableau experience Data modelling knowledge, knows fact and dimension tables Experience in marketing analytics such as Google Ads, Bing etc Strong analytical and statistical analysis skills to extract insights and recommendations Experience in Xplenty, Snowplow and Python is a plus Fluent in English with strong communication skills (both written and verbal) We're offering these benefits: A transparent data-driven environment where good ideas flourish. Got a good idea? We’ll test it! The possibility to experiment with new technology Cross-company personal development and training budget An opportunity to work in one of Europe's top trending startups Team building events and a sailing holiday for the whole team And, of course, boat holiday discounts! We‘re looking forward to hearing from you! Please apply here

You... are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team are keen to work in a data-driven company where data science is our core product you are interested in big machines You should bring... at least three years experience of building data science models for production experience with machine learning, time series and deep learning algorithms for machine sensor data proficiency in Python and typical data science libraries full stack data science skills, from data processing to model-building and model deployment experience in professional software development a graduate degree in a quantitative field a keen desire to learn, a self-starter attitude and the ability to thrive in an interdisciplinary and diverse environment Advantages (but not required) would be... data pipeline expertise - database concepts, container technology (Docker), cloud computing experience in microservice architecture, agile methods, DevOps tools (GitLab) We want you to feel comfortable... attractive working atmosphere with all-round service free choice of working environment (Linux, Windows or Mac) individual training, conferences, coding sessions flexible working hours cool cutting-edge projects with leading international industry partners industry oriented salary A unique opportunity is waiting for you... We are building the next generation of data analysis for mining machinery. Whether above or below ground: our products analyze and control the largest machines in the world. Develop the future of mining together with engineers, data scientists and IT specialists. Next steps... Please send us your CV, cover letter and, if available, your portfolio. We are looking forward to your application

We are looking for ambitious, forward thinking self-starters to join our aspiring and international company, who can keep up with our pace and want to make a difference as a: Business Intelligence Engineer (m/f/x) from now on Your responsibilities: We are seeking a full time   Business Intelligence Engineer (m/f/x)   whose primary responsibility will be to drive the development of our BI platform. The ideal candidate should have extensive hands on experience in building data warehouse solutions, automating reports and dashboards, as well as strong analysis and communication skills. Things You Will Work On: Developing and implementing concepts to measure the success of our products and features Providing on-demand analyses for different stakeholders to drive key business decisions Deriving insights from customer feedback and usage data to provide input for new product developments Handling all Business Intelligence tasks, including the analysis of complex sales/business related data Developing dashboards and descriptive analytics solutions Taking care of data integration and database management What we offer: A modern equipped workplace in a new   designer loft   with retreat lounges A dynamic and   international team   that is always ready to go the extra mile A company in hyper-growth mode Exceptional   career opportunities   and project responsibilities The opportunity to influence the development of our platform and products Flat hierarchies , short decision paths and the possibility to contribute own ideas High level responsibility   and opportunities for personal development A chance to be part of a growing company, directly influencing its success & shaping its future Regular   team events   and a wide range of sport activities, a fridge full of beer and non-alcoholic beverages Competitive, skill-dependent,   negotiable salary   – don’t hesitate to approach us Your profile: 3+ years of relevant   work experience   in analytics and business intelligence Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams Python   knowledge for automation of processes   and connecting new data sources Experience gathering business requirements, using industry standard business Intelligence tools to extract data, formulate metrics and build reports Proficiency using and maintaining   Google Analytics   and   Google Tag Manager Very good   mathematical understanding   and   statistical skills Profound experience using   SQL, ETL   and databases in a business environment with complex datasets Experience with   data visualisation   using Tableau or similar tools Familiar with different data modelling approaches (star, normalised, data vault) About us: Travelcircus (www.travelcircus.de) is a fast growing online booking platform giving people the ability to book premium, quality checked and unique hotels packaged with hotel services and exciting local activities at an exclusive price. Founded in 2014, in the heart of Berlin, Travelcircus already accommodated more than 700.000 travelers from 20 different countries and we continue to grow substantially. Do you still have questions or do you want to apply immediately? Can you recognize yourself? If yes, send your application including motivation letter, CV, desired salary and next possible entry date addressed to Margarida Pfaumann via our online application form: https://www.travelcircus.de/jobs. Don´t miss the chance to be part of the Travelcircus team very soon.Contact:Margarida Pfaumann (Head of HR)margarida.pfaumann@travelcircus.de+49 (0) 30 220 560 877We explicitly declare that we welcome any person regardless of nationality or ethnic origin, religion or belief, disability, age or sexual identity.We are looking forward to getting to know you!

The Company: Our client are Global Leaders in online food ordering. They are looking for a Business Intelligence Analyst who is enthusiastic, talented and passionate to join their team. They offer a challenging and dynamic working environment where you can grow and develop your career with the right support. You will be working in a modern office in the heart of Berlin, with flexible working hours in a mulitcutural work space. Your Responsibilities: Develop accessible, creative and engaging data visualization to facilitate access to insight Create new data analyses based detailed specifications from stakeholders Engaging with key stakeholders and give actionable insights Analyse trends in data and provide insights and explanations to local teams Identify and define future insight to data that needs support to different business units Work with other data analysts, data engineers and product owners Experience Required: 2 years’ experience minimum Experience with SQL Experience with version control systems (e.g Github) Experience with big data tools (e.g Redshift or BigQuery) Tableau experience is a plus Email   graham@alldus.com   for more details

We are looking for a NLP - Developer to join our IT team. You will be working closely with one of our four Founders and the Alyne NLP Team, delivering a high quality SaaS product to our business customers with innovative features paired with a great and fun user experience. You will be investigating new NLP models and prototype solutions, evaluating ideas to gain insights into their strengths and weaknesses. The job will also involve data preparation, engineering NLP machine-learned models at scale, design and implement ML and NLP, and incorporate those into our Alyne platform. We write everything in Python, using open-source frameworks and libraries. The overall goal is to make Alyne more intelligent. There are many difficult problems to solve, so we're always open to new ideas and ways of thinking. We are a growing StartUp and therefore you should have a solid understanding and hands on experience with developing concepts, patterns, algorithmic complexity, paradigms and modern libraries. You have a good attention for detail and don't just work on code, but bring a product to life. JOB DUTIES Incorporate latest NLP research developments into our production pipeline Broaden the machine learning adventure at Alyne to non-NLP areas WE ARE LOOKING FOR University degree in Computer Science or Mathematics, preferable with AI specialisation Solid experience with Natural Language Processing Experience building production-ready systems using deep learning methods Python - numpy, pandas - knowledge in at least one deep learning framework Tensorflow, keras, pytorch Experience in AWS in at least 3 services - Sagemaker Knowledge and experience with HTML5, CSS, Ember.js/Angular or other SPA, Node.js and NoSQL databases, such as MongoDB, Neo4j, Redis and others Git Fluent written and spoken English. Good proficiency of German might be advantageous, but not necessary Analytical skills and enthusiasm for the latest developments in the IT sector WHAT WE OFFER Modern tech, get your own Mac Low admin bureaucracy in a self driven environment Continuous training on skills, competences and tools Opportunity to develop your talent and focus areas in a dynamic team with ambitious goals Development of tech products highly relevant to our customers with direct feedback from our customer-facing teams Use latest technologies in productive environments, e.g. Machine Learning, Serverless technologies and more Direct collaboration with the Alyne founders Team events - the Octoberfest and a beer garden are just around the corner ;) ABOUT ALYNE Your Success. Our Mission. At Alyne, we build the technology to help organisations navigate the complex world of cyber security, risk and regulatory compliance without slowing business down. Founded in 2015 with the vision to build technology that is easy to use and that simplifies risk management for all organisations — big or small. Today, Alyne's team operates out of Munich, London, New York and Melbourne.

Senior Machine Learning Engineer Location:   Berlin Industry:   Food Delivery Salary:   up to €73,000 Opportunity for a Machine Learning Engineer to join a company and help them to build a Machine Learning Lab team that is being built from scratch. After checking the data of every team, the conclusion has found out that the quality of data is the restriction from making this happen. Now they have created a Big Data Lake. The plan is for the Data Lake to function like IBM’s Watsons and be the all in one place for data gathering and processing. Next steps after this? introduce microservices to the Data Lake. The overall goal of the machine learning lab is to help the company become a Data Driven organisation like Netflix. Day to Day tasks: Build applications, libraries, and services to help deliver delightful data-powered experiences to our customers. Build end-to-end ETL pipelines to enable training and running of machine learning models on structured and semi-structured data. Optimize the reliability, efficiency and agility of machine learning, computational, and data processing pipelines. Tech Stack used in the lab: Programming Languages:   Python (Primary), Java, Scala Cloud Stack:   AWS, Google Databases:   SQL, NoSQL, Hadoop, Spark, Cassandra, MongoDB, Redshift Machine Learning/ Analysis tools:   PySpark, MlLib, Numpy, Scikit, Pandas ETL/ Cloud tools:   Kinesis, Glue, DataPrep, DataFlow DevOps/ Microservices Tools:   Docker, Mesos, Kubernetes, Lambda, Cloud Functions, APIGateway, ECS/EKS Cloud Tools:   CloudFormation, Terraform, Travis, CloudWatch, X-Ray, StackDriver If you would like to find out more information about this opportunity, please email me back on Anthony@Alldus.com Join the Alldus AI in Action Berlin Meetup: https://www.meetup.com/AI-in-Action-Berlin/ Listen into the Alldus AI in Action Podcast: https://alldus.com/blog/podcasts/

Data Engineer Berlin This position is with a small, specialist data-focused entity of a renowned German company with a Europe wide presence. Acting independently with freedom to innovate and create new data products and solutions, they aim to drive change for their customers through data using creativity and openness. The company is led by technology enthusiasts, investing in the most up to date tech stacks. They have 2 streams of business; 1.   Providing data solutions to an enviable portfolio of established clients 2.   Working on their own in-house developed optimisation tool and deploying in client environments Data Engineers have the unique opportunity, if this is the path an engineer is interested in taking, to work directly with and advise Board level clients at some of the top German and International organisations. This is not a role that requires considerable travel and the role can develop around the individual’s strengths and desires. Tasks: Designing, developing and maintaining scalable data infrastructure Integrating against external API, databases and reporting platform Optimizing performance of algorithms Spread the spirit of data development through data ownership High quality coding – Python and R are prevalent Shape the technical infrastructure, testing, and monitoring Implement production level data analytics scripts Experience in (min. 2 years each): An agile environment Monitoring and automated testing of software Python or R MongoDB or Elasticsearch Connecting with external RESTful APIs Understanding of statistical modelling (regression analysis and probability theory) What makes this company special? They focus on people and individual circumstances. Roles and careers can be managed around personal needs. They support individuality and promote a casual, adaptable environment Work on the latest tools and technologies in projects you’ll be proud of

The Role As a Data Engineer at KONUX you will be responsible for managing a large research data lake that is growing rapidly in both size and complexity. You will take pride in ensuring that the data science team has the best possible access to well organized data sources. You will also act as an interface with our production team, ensuring alignment of model data requirements. You will, of course, be automating data management processes and be responsible for data cleansing. Ideal candidates learn and adapt quickly and will be able to use every tool at their disposal to understand and effectively tackle hard problems. You will be working in a Linux environment. Your Responsibilities Ensure the consistency and quality of a wide range of raw data sets, including millions of time series recordings from the field Provide database support and management of research model input and output data, including preparation of schema Create functional specifications and schema for new and existing data management processes Manage our data lake infrastructure, including services like Spark, Hive or AWS Glue/Athena Write interfaces to other systems for data gathering and data acquisition Develop data acquisition monitoring and accounting processes that alert users to missing data Automate the data cleansing and data pruning processes Assist with the development of the back-end (and design, and / or front-end too) for web-based data visualization applications Your Profile A degree in Computer Science, Engineering, or a related field 5+ years of database schema design and database management in a business environment Proficiency in SQL and Python and working knowledge of UML, XML, JSON etc. Knowledge of different database technologies SQL, NoSQL, object-relational databases Ability to understand and deliver in a complex and rapidly evolving data and product environments Demonstrated examples of working with business partners to deliver a solution that meet project objectives (requirements generation, functional specification generation to project execution) Familiarity with the fundamentals of machine learning Strong interpersonal communications skills (verbal, presentation and written) Autonomous and solution oriented working methods An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)

POSITION We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective will be to improve and extend the features used by our users and develop automated internal A/B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company´s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance WHAT ARE WE LOOKING FOR? Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc. Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow/Keras, etc. Great communication skills Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills, e.g. Python, Java / JavaScript About us LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands such as adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, it is also a great place to work. Colleagues from dozens of countries jointly make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern airy working environment, and that world-class teams deserve the best software stack money can buy

YOUR TEAM This position is located in our office in Mülheim-Kärlich. In our international team you are working with people of different professions. Such as your superior - the Vice President, Head of Digital TOMRA Sorting, a Service Delivery Owner, a Technology Owner, a UI/UX Owner, a Software Developer Connectivity, a Frontend Developer, and a Backend Developer. You as the Data Scientist will complete the TOMRA Sorting Digital Core Team. Your team is located around the globe and in different time zones – from New Zealand, Belgium via Germany to California, USA. YOUR TASKS Guiding the data science team covering the operational data analytics based on domain knowhow, supporting troubleshooting and validating correlations, and supporting the R&D team with a focus on data science and development of algorithms Generating new valuable insights based on the collected data in motion and at rest, as well as unstructured external data sources across all TOMRA Sorting Business Streams Establishing and managing the “TOMRA Space Center”, monitoring and running all data analytics services of TOMRA Insight Becoming an active thought leader and internal advisor for data science in the respective industries in which TOMRA is active (Food, Recycling, Mining) Working closely with universities, manage co-operations, and ensure state-of-the-art knowledge in data science to be transferred to TOMRA Sorting Representing TOMRA Sorting at scientific events in the area of data science and analytics to support the thought leadership claim and attract new talents YOUR PROFILE Master’s Degree or higher preferably in computer science, natural science, or engineering with a focus on data analytics & science – alternatively 5 years of work experience in a similar role English language (fluent), German language (nice to have, willing to learn) Experience with relevant software and distributed environments, e.g. R, Python, RapidMinder, Knime, Alteryx, Node-Red, Matlab, PowerBI, ANSYS, Stream Analytics, MS Azure, DataBricks, etc. Willing to travel ca. 25% Do you want to find out more about   TOMRA RECYCLING ? Have a look at our YouTube Channel: https://www.youtube.com/watch?v=BLmM_eG1GTc Do you want to peak behind office doors and meet our colleagues? Have a look at our Instagram Account "tomrarecyclingpeople": https://www.instagram.com/tomrarecyclingpeople/ Did we raise your interest? If so, please submit here:   https://short.sg/a/6082457   a motivation letter (indicating salary wish), a CV and certificates from education & trainings

Sparks42 delivers cutting-edge eCommerce and mobile solutions. Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data. Executing and providing agile solutions for content discovery belongs to our core competences. We pride ourselves in being always first to implement and successfully deploy new technologies. Developing innovative E-Commerce and Mobile Commerce technologies with global reach is our passion. We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m/f). WHAT YOU WILL DO: Gain a deep understanding of our business model, data processing and DWH infrastructure Implement data pipelines and infrastructure for platforms Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks Understand and communicate effectively with internal business customers, partners, and stakeholders WHAT WE ASK FOR: You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems Solid software development skills in Java. Python/Scala and Unix shell scripting skills will be a big plus A passion for designing and operating reliable infrastructure Experience/Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus Ability to communicate effectively with diverse teams English language fluency WHAT WE CAN OFFER: An incredibly talented team of bright, international individuals, always ready to learn, discover and implement A startup environment with the room to grow on a personal and professional level A centrally located office in Berlin Mitte To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs The opportunity to collaborate with smart and passionate people in building awesome e-commerce products Challenging global projects. Competitive salary. Exceptional experiences.

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. In this role, you will contribute to the design and implementation of our backend system serving millions of cars, being highly efficient and easy to maintain. You will closely work with other Backend developers, DevOps Engineers, Software Engineers and Data Engineers. Your responsibilities Design and implement a scalable, low-latency, fault tolerant distributed streaming system to ingest and process data from millions of cars. Support Backend team to build scalable and future-proof micro-services to support the streaming use case and to run Machine Learning training and inferencing jobs. Assess and evaluate technologies and tools to identify those fulfilling best our requirements and needs.  Work closely with our Software-, DevOps- and Data-Engineers to continuously implement and improve features, following an agile and test-driven approach.  You and your team have the ownership over the entire software development lifecycle from planning to coding, testing and maintenance. Who we are looking for Background in Computer Science, Software Engineering or related.  5+ years of professional experience developing software of which 3+ years in building modern streaming services at scale.  You have proven and solid experience in building systems leveraging a distributed streaming processing engine such as Spark, Flink, Apex, Faust or others. You have 2+ years of Python programming experience. We appreciate knowledge of languages used by popular streaming processing engine (i.e. Scala and Java). You have significant experience in designing, scaling, debugging, and optimizing microservice based and event-driven systems. We appreciate knowledge of REST Python Frameworks such as Flask, aiohttp, fastapi. You are experienced with agile development methodologies and tools such as git, Jira and Confluence. You appreciate the importance of testing, software validation and clean code. You have some basic knowledge in Continuous Integration and Continuous Deployment It’s a plus if you have some knowledge in PostgreSQL, Django, Dask, Docker or Kubernetes.  “Can do” and above all “want to do” attitude.  Motivated fast learner and problem solver who can work in a team as well as independently. What we offer A unique opportunity to actively contribute to future mobility challenges. To increase your know-how in state-of-the-art technologies: Data Analytics, Machine Learning and Embedded Development.  Flat hierarchies and work in a small but highly motivated, multidisciplinary and multicultural team. We are an equal opportunity employer who values diversity.  To work in a dynamic start-up environment in the heart of Berlin with the chance to play a big role in the success of Teraki. We do work that matters! Be part of the TERAKI team, send your application today!

IHRE AUFGABE: Als Business Intelligence Manager bauen Sie unsere unternehmensweite BI-Architektur auf, wählen passende Tools aus und verantworten deren stetige Weiterentwicklung. Sie sind der Ansprechpartner für unsere internen Kunden, unterstützen diese bei Datenanalysen und entwickeln lernfähige Datenanalysetools mit Hilfe von Data Mining-Methoden. Dabei setzen Sie sowohl klassische als auch neue Methoden und Technologien ein wie beispielsweise SQL-Server, RapidMiner und DeltaMaster. Sie entwickeln Analysemodelle, Machine Learning-Modelle und Algorithmen zur Prozessoptimierung. Durch Ihre Arbeit unterstützen Sie uns bei der Umsetzung unserer Unternehmensstrategie und bei der Verbesserung von Umsatz und Rendite. IHR PROFIL: Sie haben ein Studium im Bereich Wirtschaftsinformatik, Betriebswirtschaft, Ingenieurwesen, Statistik oder Mathematik erfolgreich abgeschlossen. Darüber hinaus konnten Sie bereits mehrjährige Berufserfahrung im Bereich SQL-Datenbanken oder Online Analytical Processing (OLAP) sammeln und bringen Erfahrung mit Data Mining-Tools mit. Sie begeistern sich für innovative Technologien und verfügen über ausgeprägte analytisch-konzeptionelle Fähigkeiten, um aus unstrukturierten Daten neue Informationen zu extrahieren. Ausgeprägte Kommunikationsfähigkeiten zur Vermittlung analytischer Konzepte an unsere internen Anwender runden Ihr Profil ab. Neben spannenden Aufgaben bieten wir Ihnen vielfältige Perspektiven, große Gestaltungsfreiräume und eine Unternehmenskultur, die ermutigt, diese zu nutzen. Neugierig? Dann freuen wir uns über Ihre Bewerbung unter jobs.it@buerkert.de oder über das Bewerbungsformular