Descrizione:
La posizione è aperta all’interno del team di Leonardo.**Job Description:**Leonardo is an international industrial group, among the world leaders in Aerospace, Defense and Security, which creates multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through subsidiaries, joint ventures and shareholdings. A protagonist in the main strategic programs globally, it is a technological and industrial partner for Governments, Defense Administrations, Institutions and companies.Within the **Cyber & Security Solutions Area**, we are looking for a **Data Engineer for scalable data architectures** for our Genoa / Rome office.Below is a list of the main activities foreseen for the role:* Guide the development of end-to-end data pipelines, from data lakehouse design to batch and streaming workload orchestration* Define architectures for data-intensive solutions ensuring scalability, reliability and performance* Design and implement data lakehouse architectures with modern table formats (Delta Lake, Iceberg)* Develop batch processing pipelines with Spark for processing large volumes of data* Implement real-time streaming pipelines with Kafka and Flink for real-time analytics* Design data modeling (dimensional, star schema, data vault) for analytics workloads* Collaborate with Solution Architects and development teams to define standards and best practices* Implement DataOps practices (CI/CD for data pipelines, data testing, monitoring)* Ensure data quality through validation frameworks and data observability* Ensure compliance with data governance and security requirements (lineage, cataloging, privacy)* Provide technical mentoring to junior and expert Data Engineers* Optimize data pipeline performance and manage distributed cluster tuning* Coordinate integration with ML platforms for feature engineering and model training### EducationMaster's Degree in Computer Engineering, Mathematics, Statistics, Physics or equivalent.### SenioritySenior (more than 5 years of experience in the role or at least 7 years of experience in similar roles)### Technical knowledge and skills* Advanced data processing with Apache Spark (PySpark, Scala) for batch and streaming* Advanced orchestration with Apache Airflow (DAG design, custom operators, sensors)* Data lakehouse architectures (Delta Lake, Apache Iceberg) with schema evolution and time travel* Stream processing with Apache Kafka and Apache Flink for real-time analytics* Advanced data modeling (dimensional, data vault, graph) and schema design* Data quality frameworks and data observability (Great Expectations, dbt tests)* Data governance (data lineage, metadata management, data cataloging)### Behavioral skills* Technical leadership and mentoring towards data engineers* Excellent communication skills with technical and business stakeholders* Architectural problem solving on complex data challenges* Ability to define standards and best practices for data engineering* Strategic vision on data platform evolution* Data governance mindset### Language skillsNative Italian, Professional English (B2)### Computer skills* Data processing frameworks (Apache Spark - PySpark, Scala)* Orchestration tools (Apache Airflow, Prefect)* Data lakehouse platforms (Delta Lake, Apache Iceberg) and object storage (MinIO, Ceph)* Streaming platforms (Apache Kafka, Apache Flink)* Languages for data processing (Python, SQL, Scala)* Advanced SQL (window functions, CTE, query optimization)* dbt for analytics transformations* Container orchestration (Kubernetes) for data workloads* DataOps: CI/CD for data pipelines, data testing frameworks* Advanced version control (Git, DVC for data versioning)### Additional Information### Other* Availability for short business trips on national territory* Data engineering certifications (Databricks, Snowflake, cloud platforms) are preferred qualifications* Experience in large-scale big data projects (petabyte-scale) is strongly preferred* Skills in ML and feature engineering is a plus* Background in data science or distributed systems is a plus* Availability to obtain security clearance**Seniority:****Primary Location:**IT - Genova - Fiumara**Additional Locations:**IT - Roma - Via Laurentina**Contract Type:**Permanent**Hybrid Working:**Questa opportunità è disponibile nelle seguenti città: Genova, Roma.