Data Engineer
Pubblicato il 01-10-2026 - Msx International in Lazio
OverviewAs Data Engineer, you will design and operate scalable data pipelines powering AI-driven automotive intelligence across MSX's global network.
You'll build robust data storage and warehousing to support knowledge applications and analytics, collaborating with cross-functional teams to ensure secure, governed access.
This role focuses on scalable, reliable data infrastructure that enables fast, AI-enabled insights for dealer networks.
You will impact data quality, performance, and integration across 80+ countries.
ResponsabilitàDesign, implement, and monitor data pipelines/ETL/ELT; manage connectors to source systems
Build and optimize database systems for automotive knowledge storage from diverse sources (SharePoint, TrackIt, external APIs) and implement data warehousing for analytics/AI
Implement data quality checks, lineage, data contracts; optimize performance for global access; automate orchestration and CI/CD; support backfill and remediation
Integrate with MSX systems and cloud platforms (Azure, AWS, GCP); implement security measures; develop API interfaces for knowledge access by AI agents
Establish data governance ensuring compliance with global regulations; secure and govern data access and secrets
Collaborate with Knowledge Architect, Data Scientist, Knowledge Champions, and PM/Privacy teams on data structures, tooling, milestones, and risk
Requisiti fondamentaliBachelor's degree in Computer Science, Information Technology, or related field
4–7+ years in data engineering; production-grade pipelines; governance/privacy constraints
Expertise in SQL, database design, optimization; orchestration tools (Airflow/Prefect)
Experience with cloud platforms/services (Azure, AWS, GCP; Snowflake/BigQuery/Databricks) and distributed systems
Experience with Python/Scala; proficiency in ETL/ELT tools; streaming and batch processing; IaC basics; observability/versioning
Strong understanding of data security and compliance requirements
collaboration
communication
problem-solving
SQL
database design and optimization
data pipelines/ETL/ELT