Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Expleo Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1966

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Expleo Group is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through business transformation, helping them achieve operational excellence and future-proof their businesses. With over 50 years of experience in developing complex products, optimizing manufacturing processes, and ensuring quality, Expleo leverages deep sector knowledge and expertise in AI, digitalization, and cybersecurity to fast-track innovation across the value chain. The organization operates in 29 countries, supported by 18,000 skilled experts dedicated to delivering high-value solutions while committing to integrity and sustainability.

📋 Description

• Develop and manage data engineering solutions with a focus on Microsoft Fabric • Work with OneLake, Lakehouse, Data Factory, Fabric Notebooks, Gen2 Dataflows, Semantic Models, and Warehouse • Develop data pipelines using SQL, Python, PySpark, and ETL/ELT processes • Design and work with Data Lake and Data Warehouse architectures • Use Azure, Azure Databricks, Azure DevOps, Git, and CI/CD • Collaborate with global and local teams to solve problems and deliver data solutions • Focus on data quality and governance

🎯 Requirements

• Professional experience (5+ years) in Data Engineering, with a focus on Microsoft Fabric • Strong proficiency in OneLake, Lakehouse, Data Factory, Fabric Notebooks, Gen2 Dataflows, Semantic Models, and Warehouse • Solid experience in SQL, Python, PySpark, ETL/ELT, data pipeline development, and Data Lake/Data Warehouse architectures • Knowledge of Azure, Azure Databricks, Azure DevOps, Git, and CI/CD • Knowledge of Power BI, Microsoft Purview, Data Governance, and Real-Time Analytics is a plus • Excellent analytical, communication, and problem-solving skills • Autonomy, attention to detail, and a focus on data quality and governance • Excellent communication skills in English • Candidate must already be living in PT

🏖️ Benefits

• Remote work opportunity