At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state of the art deep learning technology. With this, we enable millions of people with hearing loss to enjoy interactions in social settings like bars or restaurants. Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop and test novel algorithmic architectures for customizable sound environments, we have a fantastic job opportunity for you.

What you will doHere at Choco, we like to use the space shuttle as a metaphor for our engineering work. Now, you will join and help us bring the shuttle to the moon. Your big mission will be to support the delivery of features that our users appreciate and enjoy. You will do this by becoming one of the main contributors to our data platform, work with data infrastructure, make our product more data-driven, create data instruments around features, supply data pipelines for sophisticated measurements, funnels and metrics to make the squads more aware of product feature usage.

Whom we are looking for: Excellent understanding of machine learning techniques and algorithmsExperience with common data-science toolkits, such as Pandas, NumPy, etc Experience with data visualization tools, such as D3.js, GGplot, etcExperience with SQL or/and NoSQL databasesExperience with scripting and programming languages  such as Python, R, etc Good applied statistics skills, such as distributions, statistical testing, regression, etcAt lest a bachelor degree in Computer Science, Data ScienceKnowledge in financial services industry such as Banking, FinTech, etc is a plusKnowledge in Azure cloud services is a plusAt least 2 years of relevant professional experienceYou will be responsible for:

As part of the KI group, we shape an efficient future with data and technology! At xgeeks we are looking for a Data Engineer with a keen eye for high quality execution to join our rapidly growing teams in the lovely city of Munich. Here, you will design and build solutions for start-ups and scale-ups together with an international team, with people coming from the biggest companies in Europe. We are a team of very talented individuals building state of the art solutions for the major brands in Europe.

Become a data-loving engineer in a great team and shape the future of advertising with us you will be part of our small multidisciplinary agile team of developers, data engineers and data scientists called “Advertising Intelligence”you like to make sense out of huge amounts of data and build products on top of ityou are interested in creating automated pricing solutions for programmatic auctions, visualizing data streams, monitoring & alerting systems for our stakeholdersyou are eager to gain more domain knowledge in digital advertising and further deepen your experience with cloud infrastructure, machine learning and data explorationyou like to work in an easy going, open minded team where you will have lots of freedom but at the same time have a huge impact on revenueyou want to code with us in Python, R or Typescript (but as we are multilingual team and things are changing fast this is not a must)You are a

Our story (the bitesize version): As Just Eat Takeaway.com, we’re one of the world’s biggest food delivery companies. Delivering dishes across 25 countries worldwide – from Berlin to Brisbane – we serve millions of food-lovers every day. Many of those orders happen with ‘Scoober’, our delivery logistics operation. From project managers to city coordinators and couriers, Scoober supports restaurants by taking care of their deliveries. Do you want to be a part of the future of food delivery?

At the earliest date possible we are looking for support for our #teamsonnen We are searching an experienced Data Architect / Data Engineer to take over a leading architecture and engineering role in our Advanced Data Analytics team. The team is a top-level expert team within the technology unit of the sonnen group. In close collaboration with sonnen’s functional units we develop new business and product relevant data analytics and  services to serve our customer with smart solution and in-depth advanced business insights.

We’re looking for a Data Engineer to help us bring our data processing infrastructure to the next level, using a wide array of modern technologies, and forward-thinking development process.WE OFFER Stability: a permanent full-time contractFlexibility: home office policy and flexible working hoursBalance: 28 days of vacation and a gym subscription to take care of yourselfChallenge: an international and fast-growing company that develops with youBelonging: scheduled breakfasts, shuffle lunch, team events. Team building is for us fundamentalYOUR MISSION

re:ceeve is a well funded FinTech start-up based in Hamburg, run by seasoned founders. We are recruiting individuals looking to put their dent on the world and in the collections space. We believe that our software has the potential to completely disrupt credit lifecycle management and take it in a new direction by automating obsolete processes using AI and harvesting data to impact the top line. Further, we want to reimagine the industry ground up based on software sales versus collection fees.

At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.

Your mission: One of the guiding concepts of the DLR-aeronautical research is the “virtual product”: The digital representation of a vehicle with all its characteristics over the whole life cycle. The institute of Software Methods for Product Virtualisation researches and develops the necessary basis for an end-to-end digitalization. We are searching for committed scientists to enhance our researches in the field of data traceability (in particular by means of metadata).

Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Data Scientist/Machine Leaning Intern with a passion for statistical analysis, building predictive models, and designing end to end frameworks to improve wireless performance of Apple products. You will work on feature engineering and developing machine learning models to optimize software algorithms with the ultimate goal of enhancing the wireless experience for Apple customers.Developing various predictive models that will be applied to optimize Performance of Apple products.

As a Data Engineer at Mimi you will: Work on designing and implementing a data strategy to improve our data managementWork with research and product teams on ETL/ELT pipelines between production and analytical databaseSupport design and implementation of data formats in various research and product contextsSupport maintenance of Mimi’s databases containing user profiles as well as internal scientific study dataAssist with designing and implementing of data queries and visualizations on OLAP for internal purposesTake ownership of Data Engineering topics and work towards taking leadership in themInteract with diverse teams within the company (research, product, marketing …) to consider and take into account their data requirementsEvaluate different implementation strategies and technical trade-offsShare your knowledge of Data Engineering practices and potentially mentor othersWHAT YOU BRING TO THE TABLE

Software Engineer – for Experiment Control and Data Acquisition at EMBL in Hamburg, Germany About this position We are seeking to recruit an enthusiastic software engineer who wishes to develop and maintain software for controlling high-end instruments and the associated large-volume flows of experimental data on the synchrotron stations at EMBL Hamburg. This opportunity is open to candidates at the beginning of their career.  The Hamburg Unit of the European Molecular Biology Laboratory is in charge of four experimental stations on the PETRA III synchrotron, one of the world brightest X-rays sources run by DESY in Hamburg (https://www.

Are you an engineer with a passion for data and data pipelines? Are you a skilled collaborator and communicator with experience in working across teams to solve complex problems? Our Marketplace team is looking for an innovative yet detail-oriented data engineer to set up, maintain, improve and optimise our daily production of data. In this role, you’ll work closely with both Data Scientists and other Data Engineers to continuously enhance our data-driven decision making.

Job Description As Solution Engineer, you will be a part of our Healthcare Platform team and together with your team mates you will integrate the next generation digital health tech platform and the medical data hub in hospitals. The central and powerful data hub will connect and manage data streams within a hospital IT environment, escorting the patient data journey. The data hub enables exchange between all data sources like hospital information systems, PACS, medical devices and sensors, also in the surgical environment, thereby bringing the vision of the internet-of-things in digital healthcare environments to life.

Bayerischer Rundfunk provides creative and reliable information, culture, knowledge and entertainment from and for Bavaria: on the radio, on television, in the Mediathek, on BR24, Instagram etc. As a member of ARD, we are proud to make a significant contribution to the diversity of opinion and media with our diverse and high-quality offerings. For our department Softwareentwicklung und Plattformen (SEP) we are looking for a Data Engineer (m/f/d) nationwideContract: initially limited to 2 years

Are you up for a successful grown-up start-up headquartered in Berlin-Friedrichshain? smava is one of the biggest fintech employers and has received several awards, including the prize for Top Employer 2020 and for being one of the 50 most promising start-ups in Europe. Become part of the smava story now and let us grow together! We are smava – the online credit comparison. We make loans transparent, fair and affordable!

Tasks Provide technical leadership to the data science team to reach its full potential.Actively guide and challenge intermediate and junior developers.Research new machine learning approaches and find creative ways to optimize customer support processes by increasing their automation and efficiency.Extend our human-in-the-loop machine learning systems to optimize data collection and labeling.Work closely with the engineering team on detailed requirements, technical designs, and implementation of end-to-end solutions in production.Communicate effectively with colleagues from engineering and business backgrounds.

Your tasks: You will mostly work with Postgres, dbt, and Tableau. You will create analyses and model data in the database as well as create stunning Tableau visualizations to support the decision-making process and to market dealer targeted reports.You will work closely with different stakeholders from all departments to identify trends and to answer specific questions.You will own our data analytics stack and continuously refine the tooling landscape.You will model the data with dbt according to the internal and external requirements.