Join our team as a Senior Data Engineer and play a key role in designing and optimizing scalable data solutions.
Location: Lisbon (60% Remote and 40% Presential)
Start Date: ASAP
Languages: Fluency in English
Key Responsibilities:
- Design and deliver data pipelines using Azure Data Factory, Databricks, Azure Data Lake, and Synapse.
- Evolve data models and schema designs to align with data architecture standards.
- Engage with end users and data owners to gather requirements and provide technical solutions.
- Troubleshoot and resolve issues across the data platform environment.
- Identify opportunities for platform and process improvements.
- Provide application support and maintenance in line with SLAs, IT standards, and the ITIL framework (incident, change, problem management).
- Ensure strict compliance with security and quality standards and related SOPs.
Required Skills and Qualifications:
- Proven experience in data engineering roles.
- Strong proficiency in PySpark and SQL.
- Solid experience working with Azure infrastructure (Data Lake, Data Factory, Synapse).
- Hands-on knowledge of Databricks.
- Experience with APIs for data integration.
- Familiarity with data warehouse technologies and data modeling best practices.
- Excellent communication and stakeholder management skills.
Interested?
Send your CV in English and your daily rate to 📧 [email protected] or apply directly via LinkedIn!