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Multiverse Computing Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU and one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. We provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Our main products, Singularity and CompactifAI, address critical needs across various industries. Singularity remains a trusted solution for blue-chip companies in finance, energy, manufacturing, cybersecurity, and more. CompactifAI is a groundbreaking compression tool for foundational models based on Tensor Networks. With CompactifAI, one can compress AI systems, such as large language models, to make them more efficient and portable. You will be working alongside world-leading experts to build solutions that tackle real-life issues. We look for passionate people that want to grow in an ethics-driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us. As a Data Engineer, you will be responsible for designing, building, and maintaining the data architecture that underpins our organization's data systems. You will work closely with Machine Learning Engineers, Tech Managers, and other members of the technical team to ensure that our data is clean, accurate, and accessible to all stakeholders. Responsibilities Develop and maintain the organization's data pipeline architecture. Design and implement ETL processes to ensure that data is clean, accurate, and accessible. Work closely with Machine Learning Engineers to ensure that data is properly structured for analysis and building predictive models. Collaborate with cross-functional teams to identify opportunities to improve data quality and accessibility. Build and maintain data pipelines to automate data ingestion and processing. Manage and optimize database performance. Stay up to date with emerging trends in data engineering and recommend new tools and technologies as appropriate. Required qualifications Bachelor's or master's degree in computer science, software engineering, or a related field. 1+ year of experience or demonstrated project in data engineering or a related field. Strong programming skills in Python or a similar language. Expertise in data modeling, ETL development, and database management. Experience with SQL and NoSQL databases. Knowledge of cloud-based data platforms such as AWS, GCP, or Azure. Understanding of CI/CD pipelines and version control in the context of data workflows. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred qualifications Familiarity with big data technologies such as Hadoop, Spark, and Kafka. Experience with containerization and orchestration tools such as Docker and Kubernetes. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. We offer work visa sponsorship (if applicable). Relocation package (if applicable). Private health insurance. Flexible remuneration: hospitality and public transportation. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options. Working in a high-paced environment, working on cutting-edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr
