For our client, a leading Swiss telecommunication provider, we are looking for an experienced (big) data engineer. Your profile: • Master's university degree or PhD in Computer Science, Mathematics, Physics or Statistics • At least 2 years of relevant work experience in (big) data engineering or academic work in this field • Great knowledge of Big Data programming languages / technologies such as Spark, Scala, Kafka • Excellent analytical and good communication skills • Data visualization skills are a plus • Experience with Docker and Kubernetes is a plus • Java experience is a plus • Previous work experience in and/or strong interest for the telco sector is a plus Additional requirements: • Swiss/-EU/-EFTA national • English C1 or higher • German B2 or higher
09/12/2019
Full time
For our client, a leading Swiss telecommunication provider, we are looking for an experienced (big) data engineer. Your profile: • Master's university degree or PhD in Computer Science, Mathematics, Physics or Statistics • At least 2 years of relevant work experience in (big) data engineering or academic work in this field • Great knowledge of Big Data programming languages / technologies such as Spark, Scala, Kafka • Excellent analytical and good communication skills • Data visualization skills are a plus • Experience with Docker and Kubernetes is a plus • Java experience is a plus • Previous work experience in and/or strong interest for the telco sector is a plus Additional requirements: • Swiss/-EU/-EFTA national • English C1 or higher • German B2 or higher
Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
02/12/2019
Full time
Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Upon agreement
Duration: 6 months or upon agreement
27/10/2019
Internship
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Upon agreement
Duration: 6 months or upon agreement
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen. A611
02/12/2019
Full time
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen. A611
Mission
Dans le cadre de l’évolution de son HUB de données, notre client bancaire est à la recherche d’un Data Engineering Analyst pour renforcer son équipe. Responsabilités : Récolte et clarification des besoins Analyse sur les différents systèmes, estimation, spécifications détaillées, modélisation de données, règles de transformation et de mapping, aspects de plan de production et scheduling. Interaction avec les divers intervenants que ce soit les producteurs de données, l’Architecture d’Entreprise, l’équipe HUB ou encore les consommateurs de données Suivi de la réalisation des demandes avec les développeurs et déblocage des points ouverts Identification des cas de tests, élaboration des scripts et construction de jeu de données Exécution des différents tests (non régression, SIT, FAT, UAT, etc.) et investigation des defects Documentation
Profil
Expérience professionnelle souhaitée : Forte sensibilité à la thématique des flux de donnée et de l’interfaçage entre systèmes Minimum 3 ans d’expérience dans la modélisation de base de données Très bonne expérience de testing de la donnée Très bonnes compétences dans les langages de requêtage sous Oracle, i.e. SQL et environnement TOAD Bonnes connaissances bancaires générales Atouts forts : - Connaissances système Avaloq - Méthodologie de développement agile Qualités requises : Sens de l’analyse, organisé et rigoureux Curieux et rapide à apprendre Gestion des problèmes avec autonomie Escalader rapidement les problèmes ou les risques avec proposition de solutions Reporting proactif sur l’avancement de ses tâches avec le niveau de détail adapté à son interlocuteur Détaillé et précis tout en sachant faire preuve de synthèse lorsque c’est requis Formation : EPFL ou équivalent Langues : Niveau de français : Langue maternelle Niveau d'anglais : Avancé Notre client bancaire recherche un Data Engineer Analyst pour renforcer son équipe.
02/12/2019
Full time
Mission
Dans le cadre de l’évolution de son HUB de données, notre client bancaire est à la recherche d’un Data Engineering Analyst pour renforcer son équipe. Responsabilités : Récolte et clarification des besoins Analyse sur les différents systèmes, estimation, spécifications détaillées, modélisation de données, règles de transformation et de mapping, aspects de plan de production et scheduling. Interaction avec les divers intervenants que ce soit les producteurs de données, l’Architecture d’Entreprise, l’équipe HUB ou encore les consommateurs de données Suivi de la réalisation des demandes avec les développeurs et déblocage des points ouverts Identification des cas de tests, élaboration des scripts et construction de jeu de données Exécution des différents tests (non régression, SIT, FAT, UAT, etc.) et investigation des defects Documentation
Profil
Expérience professionnelle souhaitée : Forte sensibilité à la thématique des flux de donnée et de l’interfaçage entre systèmes Minimum 3 ans d’expérience dans la modélisation de base de données Très bonne expérience de testing de la donnée Très bonnes compétences dans les langages de requêtage sous Oracle, i.e. SQL et environnement TOAD Bonnes connaissances bancaires générales Atouts forts : - Connaissances système Avaloq - Méthodologie de développement agile Qualités requises : Sens de l’analyse, organisé et rigoureux Curieux et rapide à apprendre Gestion des problèmes avec autonomie Escalader rapidement les problèmes ou les risques avec proposition de solutions Reporting proactif sur l’avancement de ses tâches avec le niveau de détail adapté à son interlocuteur Détaillé et précis tout en sachant faire preuve de synthèse lorsque c’est requis Formation : EPFL ou équivalent Langues : Niveau de français : Langue maternelle Niveau d'anglais : Avancé Notre client bancaire recherche un Data Engineer Analyst pour renforcer son équipe.
Source Group are currently working with a Financial Services client based in Geneva who are looking for a Freelance Data Engineer / Scientist. The client is an internatinal business operating in 4 continents.
The Data Scientist will be responsible for managing, organising, analysing and presenting structured and unstructured data from a wide variety of sources. Objectives will include presenting point-of-need intelligence, insights and analysis to all areas of the business.
Key skills and competencies:
Microsoft Dynamics
SQL
Power BI
Software development – the ability to create tools as required to achieve business goals
Discovery, organisation and analysis of structured and unstructured data
Developer-level knowledge of Microsoft Azure, Office 365 and Teams.
Experience implementing and managing CRM systems
Knowledge of or experience in AI data analysis projects
Key skills and competencies:
5 years work experience in a relevant activity
University qualification in computer science, engineering or equivalent
If this may be of interest please get in touch.
About this role
Location
Nyon
Salary
EUR500 - EUR800 per day
Type
Freelance
Division
Data Engineer Jobs
Reference
9381_1574350475
Start date
02/12/2019
Full time
Source Group are currently working with a Financial Services client based in Geneva who are looking for a Freelance Data Engineer / Scientist. The client is an internatinal business operating in 4 continents.
The Data Scientist will be responsible for managing, organising, analysing and presenting structured and unstructured data from a wide variety of sources. Objectives will include presenting point-of-need intelligence, insights and analysis to all areas of the business.
Key skills and competencies:
Microsoft Dynamics
SQL
Power BI
Software development – the ability to create tools as required to achieve business goals
Discovery, organisation and analysis of structured and unstructured data
Developer-level knowledge of Microsoft Azure, Office 365 and Teams.
Experience implementing and managing CRM systems
Knowledge of or experience in AI data analysis projects
Key skills and competencies:
5 years work experience in a relevant activity
University qualification in computer science, engineering or equivalent
If this may be of interest please get in touch.
About this role
Location
Nyon
Salary
EUR500 - EUR800 per day
Type
Freelance
Division
Data Engineer Jobs
Reference
9381_1574350475
Start date
