Data Analitics - Industrial Digital Platform

Our Industrial Digital Platform team is looking for a Data Engineer to build and scale the data backbone that powers decision-making across engineering, operations, and leadership.

We are developing a modern data platform focused on transforming industrial and operational data into a reliable, high-quality asset. This role sits at the intersection of industrial systems and cloud data technologies, with a strong emphasis on data quality, governance, and scalability.

This is a hands‑on role for someone who takes ownership, cares deeply about data integrity, and is comfortable working across the full data stack.

Conditions

• Permanent contract
• Hybrid model: 1 day of remote work per week
• Working hours: 9:30 a.m. to 6:30 p.m. (Fridays until 2:30 p.m.)

Mission of the role

Design, build, and maintain a robust, scalable, and validation‑first data infrastructure that ensures high‑quality, reliable data across the industrial digital platform.

You will act as a key contributor to data architecture and governance, ensuring that data is accurate, accessible, and trusted across all business functions.

Key responsibilities

Data Quality & Governance

• Define and enforce validation standards across all data systems
• Ensure data accuracy, consistency, and integrity from ingestion to consumption
• Design and maintain data contracts, lineage tracking, and cataloguing practices
• Design, build, and maintain scalable data pipelines with validation embedded at every stage

ETL/ELT Development

• Build and evolve ETL/ELT processes with automated quality checks
• Ensure issues are detected and resolved before reaching downstream users

Cross‑functional collaboration

• Translate complex requirements from engineers, analysts, and scientists into robust solutions
• Work closely with multiple teams to deliver production‑grade data systems
• Optimise database performance and storage architecture
• Ensure continuous reliability and efficiency of data systems
• Monitor pipeline health and proactively detect issues
• Diagnose failures quickly and ensure continuous data availability
• Stay up to date with data engineering trends and tools
• Introduce improvements that add real value to the platform

Profile

• 6+ years of experience in data engineering, ideally in industrial or operational environments
• Strong SQL skills and hands‑on ETL/ELT experience with a focus on data quality
• Proficiency in Python, Java, or Scala
• Solid understanding of data modelling, data warehousing, and big data technologies (Spark, Hadoop)
• Proven experience with Azure and Databricks
• Experience in data governance (cataloguing, lineage, metadata, access control)
• Familiarity with data quality tools (Great Expectations, dbt tests, Soda)
• Degree in Computer Science, Engineering, or a related field
• Strong problem‑solving skills and attention to detail
• Excellent communication skills across technical and non‑technical teams

Nice to Have

• Experience building and optimising data lakes and warehouses in Azure
• Real‑time and streaming data processing (Event Hubs, Stream Analytics)
• Experience with data mesh or data fabric architectures
• Knowledge of regulatory frameworks (ISO, GDPR)
• Experience with containerisation and orchestration (Docker, Kubernetes, ADF)

Languages

• Spanish – Highly valued
• Italian – Highly valued

What we offer

• Strategic role with real impact on data‑driven decision making
• Dynamic and fast‑growing environment
• Opportunity to build and scale a modern industrial data platform

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