Join our Data Team as Senior Data Engineer! As an AdTech company, data is at the core of everything travel audience does. By joining us, you will find ways to solve complex technical challenges which directly impact our business and play an integral part in helping us become the world leader in the travel advertising domain What will you do? Be part of a team responsible for the design, development and maintenance of our data processing streaming pipelines in Google Cloud Dataflow developed using Spark.
We are looking for a motivated Data Engineer (m/f/x) joining our team of enthusiastic system engineers. Our data infrastructure is currently handling more than 10.000 requests per second and processing more than 1 TB of data each hour. Your main focus will be harvesting cloud- and container technologies including queueing, streams, distributed systems and data infrastructure. As an expert for clean code, design patterns and software engineering best practices, you will help your colleagues to further build our data infrastructure.
Your tasks • Recording and solving customer problems in different branches via ML/DM tools • Identifying data sources and researching technical questions • Consolidation from data and analysing results, such as visualization and recommendations for the ongoing procedure • Coordination from internal and external projects as well as creating and presenting of customer presentations • Planning and visualization of different project task Your skills • Successfully completed studies as a bachelor/master in computer science, business administration, mathematics or similar • Knowledge in the newest analytic procedures like Data Mining, Statistical Modelling and Machine Learning • Experience with Big Data technology, e.
Are you ready to be a unicorn and being part of the team that builds RBI’s next generation data lake for a living analytic Eco-system? Join us being part of something big and innovative.As Data Engineer you will act hand in hand with data scientists, big data architects and data consumers across CEE to plan and execute data integration. You will be in charge for data definition and the mapping from raw data to final data products running on the Data Lake Eco-system.
Willkommen beim DLR! Unser Institut für Instandhaltung und Modifikation in Hamburg sucht eine/n Ingenieur/in, Wirschaftsinformatiker/in, Datenwissenschaftler/in o.ä. im Bereich “Datenwissenschaften für die Flugzeuginstandhaltung” Ihre Mission: Ein wesentliches Element bei Optimierung von Wartungs- und Instandhaltungsprozessen für Luftfahrzeuge ist deren Abbildung durch einen Digitalen Zwilling. Dieser verknüpft alle zugehörigen Daten, stellt sie für Analysen bereit und bildet somit den individuellen Ist-Zustand eines Systems über dessen gesamten Lebenszyklus ab. Um derartige digitale Zwillinge zu erforschen und zu entwickeln, suchen wir Verstärkung für unser junges Team.
We’re looking for a Big Data Architect who’s willing to make an impact on the Big Data world. Requirements: At least 3-5 years of Big Data experience (Cloudera, Hortonworks, etc.)Solid experience with data ingestion, analysis, integration, and design of Big Data applications using Apache open-source technologiesStrong background in developing on LinuxSolid computer science fundamentals (algorithms, data structures and programming skills in distributed systems)Knowledge of AWS services and Azure Very good written and oral German and English is a MUSTExcellent presentation and communication skills are requiredWilling to travel to customers and work 1-2 days per week onsiteYour benefits:
We’re looking for a Big Data Architect who’s willing to make an impact on the Big Data world. Requirements: At least 3-5 years of Big Data experience (Cloudera, Hortonworks, etc.)Solid experience with data ingestion, analysis, integration, and design of Big Data applications using Apache open-source technologiesStrong background in developing on LinuxSolid computer science fundamentals (algorithms, data structures and programming skills in distributed systems)Knowledge of AWS and Azure is a plusVery good written and oral German and English is a MUSTExcellent presentation and communication skills are requiredWilling to travel to customers and work 1-2 days per week onsiteYour benefits:
As a Data Engineer (f/m/diverse), you’ll be designing and implementing ETL and data processing solutions through our modern cloud stack. Your systems will suck up data from different products we offer to our customer base (Web and App) and pump that data harmonized towards the consuming systems. You are the enabler of the data analyst team to give them the power of getting the right data at the right time from the right systems.
solarisBank is the world’s first banking platform enabling businesses to create custom solutions for their financial needs. The core of the company is a fast and modern technology which makes our banking services quick to setup and simple to build. With a full EU banking license, we combine agile engineering with the regulatory expertise of a fully licensed bank. By combining digital focus, tech expertise, and banking experience we enable our partners to offer various digital financial services to their end-consumer.
What awaits you? You will actively work as a Data Engineer in the planning, implementation and validation of scalable back-end solutions for data-driven location-based services.In doing so, you will identify the necessary technical solutions and coordinate them within your own team and with other teams. In an international and interdisciplinary environment, you will work both on your own and together with partners. You will test your implementation not only through a high level of test automation and a CI pipeline, but also on real hardware and in the vehicle.
Senior Data Engineer (m/f) FULL TIME Berlin, Deutschland With Professional-Experience Are you up for a successful “Grown-Up” headquartered in Berlin-Friedrichshain? smava is one of the biggest fintech employers and has received several awards, including the price for Innovator 2019 and the Top Employer 2019. Our company grows by 80 percent each year – become part of the smava story now! And let us grow together. We are, smava – the online credit comparison.
POSITION SUMMARY BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.
Your tasks – this is what awaits you in detail As Data Scientist (f/m/d) at real.digital you will drive forward the further development of the marketplace on the basis of data: Working as part of a team you will develop complex data products which will be incorporated into business processes and generate added value for the businessDeveloping applications and models for analytical approaches and for data-driven algorithms, such as classifications or other data mining and machine learning applicationsImproving product data through the use of text and image analysisRecognising patterns, clusters and correlations, e.
About the role Design and build complex data processing pipelines and data-centric systemsBuild tools and components for data ingestion and data transformationDevelop machine learning modules for various forms of data and modalitiesSystematically work towards strict metrics (performance, resource usage, reliability)Work within a talented and fast-paced team of engineersAbout you 1-3 years of experience in building large scale distributed systemsIn-depth understanding of concepts such as algorithms, networking and internet technologyDeep knowledge in Scala, Java, or C++ and Python, Bash, or PerlKnowledge of databases and messaging systems (e.
Weshalb zuschauen, wenn man auch mitgestalten kann? In unserem ING Analytics Hub arbeiten 15 hochqualifizierte Köpfe an interdisziplinären Analytics-Projekten und verwandeln Fin in Tech. Sie schätzen internationalen Austausch auf höchstem Niveau, denken begeistert vor und quer und lieben es, Ihr Wissen produktiv weiterzugeben? Jump on. Ihre Aufgaben Software Development, Machine Learning, Spark & Big Data – das sind die Themen, in die Sie sich eingraben, in denen Sie Trends & Technologien nicht nur konsequent verfolgen, sondern auch im Team lancieren.
As a Machine Learning Engineer (m/f/d) at Smaato you build the interface between the Data Scientists and Data Engineers, working mostly with TensorFlow, Python and AWS Sagemaker to translate state-of-the-art algorithms from proof-of-concept stage to production-ready solutions. Due to our cutting edge platform processing an average of 20 billion inbound advertising queries per day, and each of these incoming requests generate multiple outbound requests to our partners, we are talking about more than 12 terabytes of data running on our platform daily.
OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man. This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Would you like to work on a variety of tasks, take over responsibilities and gain strong insights into an E-Commerce company, all of this in a diverse and international team?
Hello Fresh At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit and inspire millions of energized home cooks across the globe every week. 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam. Our team of 4,000 people is extremely passionate about innovation, fast-paced and dynamic environment.
As the research and pre-development unit of BMW”s software development department, it is our mission to anticipate new software technology trends, evaluate their potential by building proof of concept prototypes and accompany their transfer to production. Our team focuses on scalable systems, data science and machine learning (ML) to enable innovative functions and services, and to improve in-house processes in close collaboration with internal customers and partners across all units of the BMW Group.
Description We are looking for software engineers to build a next generation data system estate for the aggregation and delivery of financial data. This is a challenging and exciting role that is critical to the strategic success of Move Digital AG. Successful applicants will enjoy a very high level of management visibility and recognition for their successes. In depth knowledge of financial market data and schema design is not required, only a curiosity and drive to learn.