Data Platform Engineer - Pipelines & Orchestration

Stellar Virtual; None; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Stellar Virtual is seeking a Data Platform & Systems Engineer to own and evolve its data platform, including ingestion pipelines, data warehouse, and orchestration. You will work with Python, Azure, SQL, dbt, and automation to ensure reliability and scalability while enabling data-driven decisions.

The role emphasizes ownership, clear communication, and contributing to platform roadmap. The ideal candidate can work across the full stack with a strong engineering mindset, focusing on maintainable

Competenze

• Build, maintain, and improve Python-based ingestion pipelines integrating APIs, SFTP sources, files, and other external systems.
• Design pipelines using reliable engineering patterns, including incremental processing, idempotency, retry and backoff handling, checkpointing, and recoverability.
• Develop reusable ingestion patterns and shared components to reduce duplication and improve maintainability across integrations.
• Develop, maintain, and optimize SQL and dbt models across staging, intermediate, and analytical layers.

Mansioni

• Ingest, transform, and validate data from APIs, files, and external sources.
• Develop and optimize SQL/dbt models across warehouse layers.
• Orchestrate multi-stage pipelines and ensure reliability and performance.
• Implement data-quality checks and dbt tests.

Conoscenze

Python

SQL

dbt

Azure

Data pipelines

Data modeling

Orchestration

Data quality

ETL

Strumenti

dbt

Airflow

Descrizione del lavoro

Stellar Virtual is seeking a Data Platform & Systems Engineer to own and evolve its data platform, including ingestion pipelines, data warehouse, and orchestration. You will work with Python, Azure, SQL, dbt, and automation to ensure reliability and scalability while enabling data-driven decisions.

The role emphasizes ownership, clear communication, and contributing to platform roadmap. The ideal candidate can work across the full stack with a strong engineering mindset, focusing on maintainable