Senior IOT Data Engineer at Accenture

Milan, Lombardy, Italy

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Manufacturing, IoTIndustries

Requirements

At least 3 years of experience in data modeling, data contracts, metadata management, and data quality by-design
Knowledge of batch/streaming pipelines (dbt, Spark/PySpark, CDC, Kafka) and data formats (Parquet, Delta, Iceberg)
Familiarity with Lakehouse/Mesh architectures, governance & privacy, schema registry
Experience with embedded/IoT protocols (MQTT, Kafka, WebSocket, AMQP, HTTP, CAN, UART, SPI, I2C) and networking (TCP-UDP/IP, Bluetooth Low Energy)
Good knowledge of English language
Degree in STEM disciplines

Responsibilities

Industrialization of Data Platforms in embedded, centralized, distributed, and federated scenarios
Introduction of data contracts, data quality by-design (SLA/SLO), schema registry/CDC, governance & privacy, and cost control on Lakehouse/Mesh architectures (Delta/Iceberg, Kafka, dbt, Airflow)
Definition and management of batch/streaming pipelines (dbt, Spark/PySpark, CDC, Kafka) and data formats (Parquet/Delta/Iceberg)
Data modeling (relational and domain-driven), metadata management, and data validation
Collaboration with engineering teams for integrated solutions (DevOps, Agile, MBSE, Test Automation, Generative AI)
Support for the realization of Smart Factory and connected intelligent products

Skills

IoT

Data Platform

Embedded Systems

Data Contracts

Data Quality

Schema Registry

CDC

Kafka

dbt

Airflow

Spark

PySpark

Parquet

Delta Lake

Iceberg

Lakehouse

Data Mesh

Data Modeling

Metadata Management

DevOps

Agile

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

Land your dream remote job 3x faster with AI

Try Jobo Free