2 months ago
Turin, Italy +2 moreSenior
Responsibilities
- Industrialize data platforms for embedded, centralized, distributed, and federated IoT environments.
- Define data contracts, data quality by design, SLA/SLO practices, schema registry, CDC, governance, privacy, and cost controls.
- Design and manage batch and streaming pipelines using dbt, Spark/PySpark, CDC, and Kafka.
- Work with relational and domain-driven data modeling, metadata management, and data validation.
- Collaborate with engineering teams on integrated DevOps, Agile, MBSE, test automation, site reliability, and generative AI solutions.
- Support the development of smart factories and intelligent connected products.
Requirements
- At least 6 years of experience in data modeling, data contracts, metadata management, and data quality by design.
- Knowledge of batch and streaming pipelines using dbt, Spark/PySpark, CDC, and Kafka.
- Familiarity with Lakehouse/Mesh architectures, governance and privacy, and schema registries.
- Experience with embedded and IoT protocols including MQTT, Kafka, WebSocket, AMQP, HTTP, CAN, UART, SPI, and I2C.
- Knowledge of networking technologies including TCP/UDP/IP and Bluetooth Low Energy.
- Good English language skills.
- STEM degree.
Benefits
- Hybrid work arrangement is indicated by the posting.
- Employment is governed by the Italian Metalworking Collective Agreement (CCNL Metalmeccanico), with B3 classification.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.