Data Engineer - Smart City

Incubly is a company supporting tech companies and startups (scaleups) in fast, high-quality scaling up of their teams and boosting product development, testing, and deployment. They are currently working with Arrive, a global mobility platform active in over 90 countries and 20,000 cities, providing solutions like smart payments, optimized parking, and EV charging to create more livable cities and better travel experiences.

• Master's or Engineering studies specialized in the data domain
• 3-5 years of experience in a similar domain
• Knowledge of SQL, DBT, and Python (must have)
• Knowledge of Airflow, Trino, S3, Iceberg, Hive Metastore, Kafka with Redpanda (good to have)
• Knowledge of Avro and Druid (nice to have)
• Understanding of Kubernetes concepts and ability to use it
• Knowledge of Snowflake and AWS (good to have)

• Cooperate with the Data Scientist and Architects to understand the inputs and outputs of the models, as well as the transformations required to design the features
• Participate in moving and extending data pipelines on Snowflake as part of migration to AWS
• Participate in the design phase of the data processing flow to fulfil the use cases' requirements
• Develop data flow by creating DBT models and transformations
• Implement DBT tests based on the product-defined test strategy
• Implement and configure Airflow DAGs to meet data flow quality attributes
• Cooperate with the DevOps team to deliver platform constraints and improve CI/CD