Data Engineer

As a Data Engineer, you will:

• Design and build robust data pipelines to consolidate customer data into a single, trusted view.
• Clean, transform, and enrich data for marketing activation and segmentation within the CDP.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Automate data ingestion, transformation, and testing processes aligned with DevOps best practices.
• Implement data quality frameworks and validation tests to ensure accuracy and reliability.
• Contribute to the ongoing evolution of the platform, including real-time and streaming capabilities.

You'll need:

• Strong experience with SQL and Python
• Hands-on experience with dbt or similar transformation frameworks.
• Familiarity with Git, CI/CD, and automated testing for data quality.
• Excellent collaboration and communication skills with both technical and non-technical stakeholders.
• A proactive, problem-solving mindset and passion for data-driven customer engagement.

Nice to have:

• Experience with real-time or streaming pipelines.
• Exposure to CRM systems or customer data platforms (Salesforce, Adobe, Braze, Bloomreach).
• Knowledge of API integrations, event-based architectures, or data governance and GDPR.