4 joburi disponibile

Are you an experienced Senior Data Engineer looking for an interesting new job in Zurich? Do you have strong experience of distributed computing, particularly Spark? Are you keen to be a leading force in helping this company achieve their goals through the utilisation of data insights? You will be joining a Data team that consists of very smart Data Scientists and Data Engineers that are part of a "start up" within a larger organisation that are responsible for designing, building and maintain robust, scalable and cost effective data infrastructure that supports the delivery of Real Time data to an underlying algorithm. Technically, the team develop the data pipelines using Python and Spark. If your experience is in Scala or even Java this is ok, but naturally Pyspark is preferred. From a cloud perspective, they use Azure - however experience with AWS or GCP is fine as long as you have good general CI/CD knowledge. Although the organisation has a number of data scientists, they are lacking strong Senior Data Engineers. As such you will get the benefit of playing an important role in developing the data infrastructure, working with some very bright minds and also see that your work contributes to solving a real world challenge. For more information on this Senior Data Engineer position, or any other Data Engineer positions that I have available, please send your CV or alternatively you can call me

Data Scientist Lead - Data Strategy - Data Literacy - Machine Learning - Artificial Intelligence My high-end client are looking for a Data Science Lead who will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way. Duties/Responsibilities: Data Science strategy, vision, and roadmap - Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Business requirements and data development through Data Science - Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Managing a team of Data Scientists - Day-to-day management of a team of data science specialists and Helping the team to determine the best route for tackling use cases Improving data literacy across the business - Engage with both technical and non-technical audiences to explain the business value of a data science projects. Project delivery - Required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research) Experience of in the field practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence Experience of Business Analytics Experience stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data driven reasoning

We are currently looking on behalf of one of our important clients for a Senior Data Scientist. The role is permanent position based in Zurich Canton & comes with good home office allowance. Your role: Hold responsibility for shaping the Intelligence behind an associated product Develop the product solutions in relation to the areas of the detection, localization & quantification. Write algorithms & work with data engineers to run them in a productive environment. Work with noisy & sparse data & write production-ready code. Your Skills & Experience: At least 3 years of relevant professional experience including strong experiences in Data Science, Algorithm Development & Physical Modeling. An in-depth knowledge of Statistics, Physics & Data Analysis. Skills & expertise in Python, SQL & Apache Spark. Ideally experienced in MLOps. Any experience in developing IoT Solutions is considered advantageous. Your Profile: Completed University Degree in the area Computer Science, Engineering, Physics or Similar. Motivated to take responsibility & drive innovative ideas. Dynamic & adaptable. Fluent in English (spoken & written). Any German language skills are considered very advantageous.

We are seeking an experienced senior Informatica IDMC Data Engineer to join our dynamic team. This is a key role within their data team that will see you driving forward exciting new data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation, and secure storage of mission-critical data. Key Responsibilities: Informatica IDMC Management: Design, develop, and maintain data integration solutions using Informatica Intelligent Data Management Cloud (IDMC). Optimize IDMC pipelines for performance and reliability. Ensure data integrity and quality across various data sources and targets. Unix Systems: Develop and maintain scripts and processes on Unix/Linux systems to support data integration workflows. AWS Cloud Services would be added advantage: Implement and manage data solutions on AWS, including S3, EC2 services. Utilize AWS RDS databases for storing and managing structured data. Batch Orchestration: Design, implement, and manage batch job workflows using tools like AutoSys and Apache Airflow. Schedule and monitor batch jobs, ensuring timely and successful execution. Troubleshoot and resolve issues related to batch processing. Collaboration and Communication: Work closely with data analysts, data scientists, and other stakeholders to understand requirements and deliver solutions. Document data integration processes, workflows, and best practices. Provide support and training to team members as needed. Qualifications: Experience: 10+ years of experience in data engineering or related roles. Proven experience with Informatica IDMC, minimum 5 years of experience using IDMC. Strong Unix/Linux skills, including Scripting and system administration. Proficiency with AWS cloud services and RDS databases. Proficiency in batch orchestration tools such as AutoSys and Apache Airflow. Excellent problem-solving and analytical skills. Strong understanding of data integration and ETL processes. Ability to work in a fast-paced, dynamic environment. Strong communication and interpersonal skills. Proficiency with CI/CD pipelines and DevOps practices.