Data Engineer, Mid-Level – Microsoft Azure

Job not on LinkedIn

🔥 22 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 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 data pipelines • Develop data ingestion and transformation solutions • Prepare and model data • Make information available for consumption • Develop data solutions in Microsoft Azure, with a focus on Azure Databricks • Work across the full data lifecycle: ingestion, transformation, modeling, and data delivery • Develop scalable solutions with a focus on performance

🎯 Requirements

• 2–5 years of experience in Data Engineering • Strong experience with Microsoft Azure • Experience with Azure Databricks • Experience with PySpark and notebooks • Experience developing ETL/ELT processes • Experience with Azure Data Lake Storage / ADLS • Knowledge of Parquet • Knowledge of Delta Lake • Experience across the full data lifecycle: ingestion, transformation, modeling, and data delivery • Ability to develop scalable, performance-focused solutions • Experience working in SCRUM / Agile environments

🏖️ Benefits

• Remote workplace • Permanent employment • Opportunity to work for a global engineering, technology, and consulting services provider • Exposure to global and local projects across 30 countries • Collaboration with pan-European technology centers and best-shoring capabilities