Job Overview

We are looking for a highly skilled and motivated Senior Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines, with a strong focus on scalability, reliability, and performance. You will work closely with data scientists, analysts, and other engineers to ensure our data infrastructure supports the advanced analytics and machine learning needs of the company.

Your tasks will be

• Build and orchestrate complex DAGs in Apache Airflow.
• Develop and manage APIs using FastAPI.
• Implement ETL processes leveraging Python, Postgres with spatial data.
• Design and implement data storage solutions using Azure Blobs and Azure Data Lake.
• Support the data analytics team by maintaining and optimizing Superset dashboards, enabling self-serve BI for various business stakeholders.

• Utilize Git for version control, CI/CD pipelines and ensure best practices are followed through pre-commit hooks and code reviews.

We need you to have:

• 4-5 years of experience.
• Proficiency in Python and strong SQL skills
• Experience with Azure Blobs, Azure Data Lake, or other cloud storage solutions.
• Some experience with Kubernetes for deploying and managing containerized applications.
• Ability to work in a fast-paced, dynamic environment with a focus on continuous improvement.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills in Hungarian and English.

We value if you have

• Experience in working for a start-up company
• Bachelor’s degree or Master’s degree in Business, Computer Science, Engineering, or similar

We offer

• Opportunity to develop a product with high impact on the digitization and management of urban forests and on climate change adaptation in cities
• Opportunity to join a dynamically growing startup team at an early stage
• Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts