Data Engineer

Volis: Transforming chaos into order. At Volis, we are revolutionizing the way companies utilize their data. We are a rapidly growing startup with the mission of unlocking the hidden potential in organizations' data, delivering actionable insights and innovative solutions.

We offer
end-to-end solutions that cover all aspects of data transformation to the use of AI and Machine Learning algorithms. Your journey as a Data Engineer: As a Data Engineer at Volis, you will play a key role in building and maintaining scalable, reliable, and efficient data architectures. You will have the opportunity to: Deliver high-impact solutions with Palantir Foundry: Work hands-on with Palantir Foundry to build end-to-end data solutions — from ingestion and modeling to analytics and operational use cases — supporting complex, business-critical projects for large organizations. Work with cutting-edge technologies: Utilize modern tools such as Airflow, Airbyte, dbt, BigQuery, Terraform, Kubernetes, Docker, and cloud environments. Ensure data reliability and scalability: Develop monitoring, testing, and alerting strategies to guarantee data integrity and performance at scale. Collaborate across teams: Work closely with analysts, data scientists, and business stakeholders to understand data needs and deliver high-impact solutions. Promote best practices: Help define and implement data engineering standards, ensuring code quality and documentation through GitHub workflows. What we are looking for: Solid

experience:
experience as a Data Engineer or in similar roles, with a proven track record of designing and implementing data pipelines and architectures. Technical excellence: Strong skills in SQL (preferably BigQuery), Python, Airflow, dbt and experience with infrastructure tools like Terraform, Docker, and Kubernetes. Solid knowledge in software development and its best practices is very important. Cloud expertise: Experience working with cloud platforms (preferably GCP). Ownership mindset: Proactivity, autonomy, and a strong sense of responsibility to solve complex data challenges. Results-oriented: Ability to deliver high-quality solutions on time, aligned with business goals, evaluating different possibilities and comparing trade-offs. Curiosity and continuous learning: Eagerness to explore new technologies and improve your skills. Fluency in English: Essential, as we have English-speaking clients.

What we offer
Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company. Founder

experience:
Participate in the creation of a rapidly growing data startup. Help define best practices, processes, and learn by experience. Great challenges: Chance to work with large companies in real estate, highway management, construction, and more. Nice to have

skills:
Enterprise Palantir projects exposure: Previous experience delivering complex data solutions using Palantir Foundry for large organizations, with a strong consulting mindset and focus on translating business problems into scalable data products. Experience with MLOps tools and processes (e.g., MLflow, Kubeflow, Vertex AI). Experience with data streaming architectures and/or real-time data processing. Master's degree in a technical or analytical field.