Data Engineer

Job not on LinkedIn

🕒 July 27

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of InnoData

InnoData

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI. • Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems. • Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses. • Build and extend end-to-end data and BI solutions, spanning extraction, storage, transformation, and visualization layers. • Partner with supply chain, real estate, and AI/ML teams to provide pipelines for AI solutions (e.g., RAG ingestion, Copilot integration, multi-agent workflows). • Ensure data governance, lineage, and compliance across supply chain datasets. • Continuously optimize query performance, ETL processes, and pipeline reliability.

🎯 Requirements

• Advanced proficiency in SQL (complex queries, optimization) and Python (data engineering, scripting, APIs). • Experience building ETL/ELT pipelines operating on structured and unstructured data sources. • Knowledge of enterprise data warehouse and data lake architectures. • Exposure to data pipelines for AI/ML (vector DB ingestion, embeddings, RAG pipelines, copilots, agents). • Familiarity with supply chain or data center operations data is a strong plus. • Bonus: experience with ML Engineering, data visualization tools (Looker, Tableau, Power BI) and MLOps practices. • Strong hands-on expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker/BI (or similar, preferred).

🏖️ Benefits

• Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. • Innodata will never ask for payment, banking details, or sensitive personal information during the application process. • To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

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