Senior Data Integration Engineer

We're on the hunt for a skilled Senior Data Integration Engineer with strong AI background to become part of our team. This position provides an opportunity to engage with complex, impactful data projects within a team-driven, forward-looking setting. You'll join colleagues who prioritize technical depth, continuous learning, and the practical use of advanced technology. If you're driven to build reliable data pipelines while furthering your AI capabilities, this role offers a genuine platform for career advancement Responsibilities Architect and develop scalable, long-lasting data integration solutions that meet organizational and engineering requirements Work alongside cross-functional colleagues to ensure deliverables are completed punctually and meet quality benchmarks Contribute to conversations about architecture, providing perspectives that shape data integration project direction Review code written by fellow engineers, delivering helpful feedback that sustains solid engineering practices Troubleshoot and resolve layered technical challenges that arise during the data pipeline process Guide junior team members in their growth by sharing insights that strengthen their technical skillset Be involved in planning sessions, helping define scope and offering dependable time estimates Track shifts in technology trends and bring valuable new techniques into everyday operations Maintain thorough records of important technical decisions and data workflows to support ongoing stability Coordinate with stakeholders to establish clear objectives and ensure completed deliverables meet expectations Requirements Minimum of three years of relevant, hands-on work experience Working understanding of AI concepts and tools, leveraged to improve data integration solution planning Deep proficiency in Python for building and supporting data integration applications Hands-on background working within cloud environments powered by Amazon Web Services Solid foundation in Data Integration, connecting and bringing together data from multiple sources Skilled in using SQL to structure, manage, and pull data from relational database systems Knowledge of NoSQL database technologies for handling data that is unstructured or semi-structured Understanding of CI/CD practices that enable reliable, automated releases across software and pipelines Practical knowledge of Google Cloud Platform for managing and deploying cloud-based data solutions Experience applying Apache Airflow for scheduling and orchestrating data-related workflows Hands-on exposure to Databricks or Snowflake for supporting large-scale data processing and analytics Practical experience with Apache Spark for processing and analyzing sizable datasets Familiarity with SDLC Methodologies and applying them to support structured, productive project delivery Background working in Agile environments that support iterative, team-based development Strong English communication skills, meeting a B2 level or higher