Junior Data Engineer – Microsoft Azure, Databricks

Job not on LinkedIn

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟢 Junior

🚰 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

• Implement data solutions in a Microsoft Azure environment, following Data Engineering best practices; • Develop and maintain ETL/ELT pipelines using Azure Data Factory and Azure Databricks, including the development of PySpark notebooks; • Participate in the full data solution development lifecycle, from data ingestion and transformation through to data modeling and availability; • Contribute to the implementation of data models based on Data Lakehouse architectures, particularly through the Medallion Architecture approach; • Collaborate with the technical team on the analysis, development, testing, and delivery of Data Engineering solutions; • Support the monitoring, maintenance, and optimization of data pipelines and processes.

🎯 Requirements

• 6 months to 1 year of experience in Data Engineering; • Experience with the Microsoft Azure ecosystem; • Hands-on experience with Azure Databricks; • Knowledge of PySpark and notebook development in Databricks; • Experience developing ETL/ELT pipelines; • Knowledge of the full data solution development lifecycle, including transformation, modeling, and data availability; • Knowledge of Data Lakehouse architectures and Medallion Architecture; • Experience with Azure Data Factory; • Experience with Agile/Scrum methodologies; • Knowledge of Jira and Confluence; • Knowledge of data modeling; • Knowledge of best practices for the quality, organization, and documentation of data pipelines.