Senior Data Engineer (m/f) –Hybrid (Lisbon)
Match Profiler Lisbon
Match Profiler is an Information Systems consultant who has been working in the national and international market since 1999.
We have multidisciplinary skills and IT know- how that allow us to contribute, optimize and progress with our clients.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of experience in data engineering, with a focus on Lakehouse or Data Warehouse implementations.
- Familiarity with Microsoft Fabric's OneLake and data pipeline features.
- Strong expertise in SQL, Microsoft Fabric Lakehouse tools (e.g., Data Engineering, Synapse Real-Time Analytics), and Power BI.
- Experience with DAX Language and Semantic Models
- Strong troubleshooting skills and experience with data validation.
- Strong communication skills and a proactive team player.
- Proficiency in Python or R for advanced data processing and automation.
- Experience with DevOps practices, including CI/CD pipelines for Microsoft Fabric.
- Familiarity with Medallion Architecture principles for organizing Lakehouse data.
- Experience with on-premises SQL Server databases, including troubleshooting and optimization.
- Proficiency in English.
- Good communication
- Team spirit
- Proactivity
- Time management What we can offer:
- Personalized support from your team
- Your manager will take into consideration your motivations and suggestions
- Victories will be celebrated together
- Your HR and Support Teams will always be available to help
- Constant feedback on your work
- A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc)
- And, of course, many gatherings and social events
DellentLisboa
We are looking for a Senior Data Engineer for a project in Lisbon area to work remotely.
Requirements:
• 4+ years of experience in an Data Engineering or similar role;
• 4+ years of experience creating data sets and models;
• Strong SQL skills, namely...
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