Senior Data Engineer

As a Senior Data Engineer at Intellum, you’ll play a key role in scaling and refining our data platform. Your mission is to ensure that data across the organization is accurate, accessible, and actionable. You’ll design and maintain scalable data pipelines, drive monitoring and observability strategies, and help shape our data governance and quality standards. Design, build, and maintain scalable data pipelines (currently using Airbyte, Datastream and Kestra). Monitor and support existing pipelines to ensure high reliability and performance. Drive best practices in orchestration using Kestra, including modularity, retries, and monitoring. Enforce data quality through validation, anomaly detection, and robust error handling. Document pipeline architecture, dependencies, and processes for easy knowledge sharing. Support and help evolve our data governance framework to ensure integrity, compliance, and security. Collaborate with cross-functional teams (Product, ML, Business) to gather requirements and deliver data solutions. Integrate third-party systems (e.g., Salesforce, Stripe, etc) into our data ecosystem for unified insights. Experiment with and adopt AI tools (e.g., Copilot, ChatGPT, Cursor) to code, automate tasks, improve code quality, and boost the team’s and your own productivity.