Senior Data Engineer – Microsoft Azure

Job not on LinkedIn

🔥 17 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 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

• Work directly with business and technical teams • Gather and interpret requirements • Translate requirements into technical specifications • Design data solutions • Develop data pipelines • Optimize transformation processes • Contribute to the definition of architecture and standards • Ensure data quality, security, and governance • Provide technical support and guidance to junior team members

🎯 Requirements

• 5+ years of experience in Data Engineering • Strong experience with Microsoft Azure • Extensive experience with Azure Databricks • Experience with PySpark • Experience with Azure Data Factory • Experience developing and optimizing ETL/ELT processes • Experience with Azure Data Lake Storage / ADLS • Experience with Parquet • Experience with Delta Lake • End-to-end experience across data ingestion, transformation, modeling, and delivery • Ability to design scalable, performance-oriented architectures • Experience with DataHub / data platforms • Ability to translate functional requirements into technical solutions • Experience working in Agile / SCRUM environments • Scala-to-PySpark migration experience • Azure Synapse • JIRA • Confluence • Technical leadership experience • Data architecture experience

🏖️ Benefits

• Remote work • Permanent employment • Opportunity to work for a global engineering, technology, and consulting services provider • Exposure to projects and teams across a global footprint spanning 30 countries