Responsibilities:
• Design, implement, and maintain data pipelines for complex enterprise SaaS applications.
• Integrate with and manage data from platforms such as Databricks, Snowflake, PowerBI, Tableau, and other ETL systems.
• Develop and maintain Python codebases for data ingestion, transformation, and modeling.
• Collaborate with backend, product, and analytics teams to deliver business-critical data features.
• Optimize data models and storage for performance, scalability, and reliability.
• Ensure data quality, integrity, and security across all data flows.
• Monitor and troubleshoot data pipelines and participate in on-call support as needed.
• Document data architecture, processes, and best practices. Requirements
• Experience building and maintaining the data layer for large-scale, enterprise SaaS applications.
• Proficient in Python and familiar with data modeling concepts.
• Hands-on experience with at least one data platform (Databricks, Snowflake, PowerBI, Tableau, or similar).
• Experience with ETL pipeline development and orchestration.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their native data services. Strong understanding of data quality, governance, and security best practices.
Soft Skills:
• Fast learner, able to pick up new technologies and adapt to evolving requirements.
• Clear communicator, capable of working effectively with cross-functional teams.
• Ownership mindset; takes responsibility for end-to-end delivery and reliability.
Preferred Qualifications:
• Experience with multiple data platforms or multi-cloud environments.
• Exposure to backend development (TypeScript, GraphQL) or infrastructure automation (Terraform, CI/CD).
• Experience in high-growth or product-focused SaaS companies.
• Familiarity with AI/ML data pipelines is a plus.
Key Skills
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- Posted
- Nov 17, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Portugal
- Company
- act digital
Industries
Categories
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