Data engineer

PpbData Engineer /b /p /p Bewerbung hochladen merken An internationally operating technology-driven trading firm is looking for a Data Engineer to join its engineering team. The company develops and operates high-performance systems for processing, analyzing, and leveraging large-scale market and trading data in fast-paced, data-intensive environments. Working closely with engineers, researchers, and quantitative specialists, you will contribute to the development of scalable data platforms and pipelines that support business-critical operations and decisionmaking processes. Aufgaben Data Scientist/Data Analyst/Data Engineer Region Innerschweiz Ortschaft Zug REF Nr 2J6O69 ppbStellenbeschreibung /b /p /p liDesign, develop, and maintain scalable data pipelines for market, trading, and transactional data /liliBuild and operate both batch and real-time streaming data processing solutions /liliIntegrate new data sources, exchanges, and platforms into existing data ecosystems /liliCollaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions /liliOptimize data infrastructure for performance, scalability, and resilience /liliContribute to the development of high-availability, low-latency systems /liliEnsure data quality and automate data processing workflows where possible /li ppbAnforderungsprofil /b /p /pliMaster's degree in Computer Science, Mathematics, Physics, or a related technical discipline /liliProfessional experience in Data Engineering, Big Data, or large-scale data processing environments /liliStrong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms /liliExperience with cloud-native infrastructure and container orchestration technologies, ideally Kubernetes /liliStrong programming skills in Java or Scala and Python; experience with C++ is considered a plus /liliInterest in data-driven systems, distributed architectures, and high-performance environments /liliStrong analytical and problem-solving skills with a structured and hands-on approach /liliFluent English communication skills, both written and spoken /li ppbPerspektive /b /p /pliOpportunity to work on modern, large-scale data platforms in a highly technical environment /liliClose collaboration with experienced engineers, researchers, and domain experts /liliFlat hierarchies, short decision-making processes, and significant ownership from day one /liliInternational and collaborative company culture focused on innovation and continuous learning /liliExposure to challenging real-time data processing and distributed systems problems /liliLong-term career opportunities within a technology-focused and growth-oriented organization /li Bewerbung hochladen { "@context": " "@type": "JobPosting", "title": "Data Engineer", "description": "An internationally operating technology-driven trading firm is looking for a Data Engineer to join its engineering team. The company develops and operates high-performance systems for processing, analyzing, and leveraging large-scale market and trading data in fast-paced, data-intensive environments. Working closely with engineers, researchers, and quantitative specialists, you will contribute to the development of scalable data platforms and pipelines that support business-critical operations and decisionmaking processes. Stellenbeschreibung: Design, develop, and maintain scalable data pipelines for market, trading, and transactional data; Build and operate both batch and real-time streaming data processing solutions; Integrate new data sources, exchanges, and platforms into existing data ecosystems; Collaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions; Optimize data infrastructure for performance, scalability, and resilience; Contribute to the development of high-availability, low-latency systems; Ensure data quality and automate data processing workflows where possible Anforderungsprofil: Master's degree in Computer Science, Mathematics, Physics, or a related technical discipline; Professional experience in Data Engineering, Big Data, or large-scale data processing environments; Strong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms; Experience with cloud-native infrastructure and container orchestration technologies, ideally Kubernetes; Strong programming skills in Java or Scala and Python; experience with C++ is considered a plus; Interest in data-driven systems, distributed architectures, and high-performance environments; Strong analytical and problem-solving skills with a structured and hands-on approach; Fluent English communication skills, both written and spoken Perspektive: Opportunity to work on modern, large-scale data platforms in a highly technical environment; Close collaboration with experienced engineers, researchers, and domain experts; Flat hierarchies, short decision-making processes, and significant ownership from day one; International and collaborative company culture focused on innovation and continuous learning; Exposure to challenging real-time data processing and distributed systems problems; Long-term career opportunities within a technology-focused and growth-oriented organization", "datePosted": " T06:28:59+00:00", "employmentType": "FULL_TIME", "validThrough": "?php echo date(\"c\", strtotime(\"+60 days\")); ?", "url": " "mainEntityOfPage": " "inLanguage": "de-CH", "directApply": true, "applicantLocationRequirements": { "@type": "Country", "name": "Switzerland" }, "hiringOrganization": { "@type": "Organization", "name": "Prime21 AG", "sameAs": ( " " ), "url": " "logo": " "foundingDate": "2011" }, "identifier": { "@type": "PropertyValue", "name": "Prime21 AG", "value": "2J6O69" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Zug", "addressCountry": "CH", "addressRegion": "Innerschweiz" } }, "occupationalCategory": "Data Scientist/Data Analyst/Data Engineer", "applicationContact": { "@type": "ContactPoint", "url": " } }