Data Engineer

Job description

We are looking for a dedicated Data Engineer to join our technology team in a key role to support data management, integration, and transformation across the organization. 🔎 What do you need to have? Solid experience in data engineering: ingestion, transformation, storage, and availability of data in both cloud and on-premise environments; Hands-on knowledge of languages such as Python and SQL, as well as data processing frameworks (e.g., Spark, dbt, or equivalent); Experience with cloud platforms (AWS, Azure, or GCP) and data services (Redshift, BigQuery, Synapse, Databricks, or similar); Familiarity with orchestration tools and pipelines (Airflow, Prefect, etc.), and CI/CD practices for data; Ability to model data, create robust schemas and ensure data quality and governance; Thoroughness, attention to detail, and strong analytical skills; Good written and verbal communication skills, with the ability to collaborate with multidisciplinary teams (product, analytics, operations); A mindset focused on continuous improvement and process automation. 🧾 What would your responsibilities be? Design, implement and maintain scalable and resilient data pipelines to support reporting, analyti...