Senior Data Engineer

Match Profiler

Lisboa

Híbrido

EUR 55 000 - 85 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Personalized support from your team
Manager considers your motivations and
Victories celebrated together

Resumo da oferta

Match Profiler, an Information Systems consultant, seeks a Senior Data Engineer to join our hybrid Lisbon team. You will work on Lakehouse/Data Warehouse projects, leveraging Microsoft Fabric, Synapse Analytics, and Power BI to deliver robust data pipelines and semantic models.

You will collaborate with a proactive team, applying Python or R for data processing, and contribute to CI/CD practices. English fluency is required, and remote collaboration with international clients is common.

Qualificações

  • 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.

Conhecimentos

SQL
Python
R
Power BI
DAX Language
English
Communication
Teamwork
Proactivity
Time management

Formação académica

Bachelor's or Master's degree in Computer Science/Engineering

Ferramentas

Microsoft Fabric OneLake
Microsoft Fabric Lakehouse tools (Data Engineering, Synapse Real-Time Analytics)
CI/CD pipelines (DevOps)
Medallion Architecture
On-premises SQL Server

Descrição da oferta de emprego

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.
We are currently recruiting, for integration in our internal team/client, professionals with the following profile:

Senior Data Engineer (m/f) –Hybrid (Lisbon)

What do you need to have:

Hard Skills
  • 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.
Soft Skills
  • 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
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