Data Engineer, Senior and Mid-Level

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Define and evolve the Data Warehouse architecture • Define integration layers and standards • Define the ETL framework • Implement ETL/ELT pipelines • Ensure data performance and quality • Define the dimensional model • Prepare the solution for future migration/evolution to Microsoft Fabric • Review technical deliverables • Mentor junior team members • Participate in architecture decisions with clients and stakeholders

🎯 Requirements

• 6–8+ years of experience in Data Engineering • Strong experience with on-premises SQL Server • Advanced T-SQL • Solid experience with SQL Server Integration Services (SSIS) • Python applied to Data Engineering • Experience in Data Warehousing • Experience with Power BI and/or Microsoft Fabric • ETL/ELT • Dimensional modeling • Kimball methodology • Star schema • Fact tables • Conformed dimensions • Integration of multiple source systems • Experience designing end-to-end data architectures • Defining integration layers and standards • Experience with multi-source/multi-ERP consolidation projects • Technical leadership experience