Data Engineer

Data Engineer who designs, develops, and operates cloud-based data and analytics platforms and pipelines on GCP to acquire, cleanse, transform, and publish data from diverse sources. Responsibilities include building and operating GCP data pipelines (BigQuery, Cloud Composer, Dataplex), contributing to an enterprise data lake evolution toward open-table formats and self-serve data sharing, embedding data quality checks into CI/CD, maintaining cross-cloud data sharing between GCP and Azure Databricks (Lakehouse Federation, open formats), and developing reusable Terraform templates for self-serve provisioning and policy guardrails. Requires collaboration with data asset managers, architects, and development leads, and a strong foundation in data processing, data architecture, and scripting (Python/SQL). Certifications targeted include Azure DP-203, Databricks Professional Data Engineer, Apache Spark Developer Associate, and Google Cloud Professional Data Engineer. Offered benefits include competitive compensation, flexible hybrid work from home/work from office, meal allowances, health and life insurance, stock ownership plan, and various employee wellbeing programs. The role is part of a Bucharest Innovation Hub with a hybrid work model (remote two days per week with in-office time).