Senior Data Engineer

4 days ago

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Zartis

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SaaS • IT

Zartis is a company providing software development and technology consulting services to clients worldwide. They specialize in IT staff augmentation, offering individual software developers and scalable software teams. Zartis also provides tech consulting services including software architecture, DevOps, AI consulting, and security and compliance advisory. They work across various industries such as fintech, medtech, cleantech, and more, delivering tailored and secure technology solutions. The company emphasizes innovation, scalability, and integration into existing teams, helping clients optimize cloud costs, modernize systems, and develop MVPs. Zartis is ISO 27001 certified, focusing on building secure and reliable software.

201 - 500 employees

☁️ SaaS

💰 Pre Seed Round on 2011-12

📋 Description

• Architect, build, and maintain scalable and reliable data pipelines to collect, process, and transform large datasets. • Translate analytical or data science logic into production-ready, robust engineering solutions. • Design and optimize data models, storage solutions, and database structures for efficient data retrieval, analysis, and processing. • Implement ETL/ELT workflows and ensure best practices in data modeling, data quality, and data lifecycle management. • Work with containers and cloud-native tools (Docker, Kubernetes) to deploy and manage data workflows. • Leverage Azure cloud services to build and maintain modern data infrastructure. • Ensure data governance, security, and compliance across all layers of the data ecosystem. • Evaluate and integrate external data sources, services, and vendor tooling when needed. • Stay up to date with emerging trends in data engineering, workflow orchestration, and MLOps-adjacent tooling (e.g., Airflow, Dagster, MLflow, HEAT).

🎯 Requirements

• 5+ years of experience delivering data engineering solutions in a collaborative, production-focused environment. • Proficiency in Python, with the ability to translate analytical logic into maintainable, high-quality code. • Strong experience with SQL and NoSQL databases, including data modeling and optimization. • Hands-on experience with containers, including Docker and Kubernetes. • Familiarity with Azure cloud services and cloud-based data architecture. • Experience designing and implementing ETL/ELT workflows, data pipelines, and distributed data processing solutions. • Experience with workflow orchestration tools such as Apache Airflow, Dagster, or ML tooling such as MLflow. • Excellent analytical and problem-solving skills, with the ability to work autonomously and deliver results. • Ability to collaborate with cross-functional teams and communicate complex concepts clearly. • Nice to have: • Experience with HEAT or similar data engineering/MLOps platforms. • Previous exposure to simulation, analytics, healthcare, insurance, or fintech industries. • Experience working in early-stage or fast-moving environments where processes evolve rapidly.

🏖️ Benefits

• 100% Remote Work. • WFH allowance: Monthly payment as financial support for remote working. • Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression. • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.