DATA ENGINEER / SQL AND PYTHON (HYBRID)

Portuguese company hires for hybrid work

Working Model: Hybrid (once a month at the office);

Seniority: Senior

Location: Lisbon / Portugal

Language Requirements: Portuguese (minimum C2) / English (B2)

Sector: Pharma

Instructions: Please send your CVs in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

We're hiring a Senior Data Engineer. Join a leading company in the pharmaceutical sector as a Senior Data Engineer, working with Databricks, PySpark, Azure Data Factory, and modern data architecture. This role is ideal for professionals passionate about building scalable data pipelines and ensuring data quality and reliability.

• Your Role As a Senior Data Engineer, you will be responsible for designing and delivering scalable and efficient data pipelines using Databricks, PySpark, Python, and Azure Data Factory. You will collaborate closely with stakeholders to gather requirements, enhance data models, and ensure the reliability, scalability, and compliance of the platform. Your responsibilities will also include troubleshooting issues, optimizing existing systems, and supporting data applications in alignment with ITIL standards.
  
  

Candidates must be based in Portugal and available to work from the Lisbon office at least once a month.

• Your Profile
• Proven experience in data engineering with a strong focus on Databricks, PySpark, and Azure Data Factory
• Proficient in SQL and Python
• Hands-on experience with Azure cloud services and working with APIs
• Solid understanding of data warehousing and data modeling best practices
• Strong analytical and problem-solving skills
• Excellent communication skills and a team-oriented mindset
• Commitment to quality and continuous improvement
  
  

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