Job Summary: The Data Engineer designs, implements, and maintains data ingestion, transformation, and storage processes for analytics and decision-making. Key Responsibilities: 1. Design and maintain data pipelines (ETL/ELT) 2. Optimize data storage, performance, and quality 3. Ensure data governance, traceability, and security What drives and inspires us at Telpark is talent. **Data Engineer – Telpark** -------------------------------- ### **Summary** The **Data Engineer** designs, implements, and maintains **data ingestion, transformation, and storage processes** that support analytics, reporting, and decision-making at Telpark. ### **Responsibilities** * Design and maintain **data pipelines** (ETL/ELT) to integrate on/off-street, IoT, and digital platform data sources. * Optimize **data storage, performance, and quality** in cloud and on-premise environments. * Collaborate with Product and Data Analytics teams to leverage operational and business data. * Ensure **data governance, traceability, and security** for corporate data. * Automate processes using orchestration tools (Airflow, Databricks, Synapse, etc.). ### **Requirements** * Education: Degree in Computer Engineering, Mathematics, or related field. * Experience: +4 years in data engineering or BI. * Knowledge: + Advanced SQL, Python, Spark. + Cloud Data platforms (Azure Synapse, AWS Redshift, BigQuery). + ETL, orchestration, and data modeling. + Data Lakes, Data Warehouses, and consumption APIs. * Valued certifications: Microsoft Data Engineer, AWS Data Analytics, Databricks. ### **Competencies** * Technical rigor and attention to detail. * Ability to collaborate effectively with development and business teams. * Proactivity and innovation in data management. Basic understanding of information security. (Policies, Regulations, and Security). If you want to join a growing company undergoing full digital and cultural transformation, now is your moment.