Senior Data Integration Engineer

We are looking for a Senior Data Integration Engineer with strong AI knowledge to join our team. This role offers the opportunity to work on complex, high-impact data projects within a collaborative and innovation-driven environment. You'll be part of a team that values technical excellence, continuous improvement, and the practical application of advanced technology. If you're motivated to build reliable, well-structured data pipelines while growing your AI expertise, this position offers a strong path for professional development. Responsibilities Design and build scalable, maintainable data integration solutions that meet business and technical objectives Collaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standards Contribute to architecture discussions, offering input that helps shape the direction of data integration projects Review code produced by fellow engineers, providing constructive feedback to uphold strong engineering practices Investigate and resolve complex technical issues that arise throughout the data pipeline lifecycle Support the growth of junior team members by sharing knowledge that strengthens their technical abilities Take part in planning discussions, contributing to scope definition and providing accurate time estimates Stay current with evolving technology trends and apply valuable new approaches to daily work Maintain clear documentation of key technical decisions and data workflows to support long-term system stability Work closely with stakeholders to establish clear objectives and ensure completed work aligns with expectations Requirements A minimum of 3 years of relevant professional experience Practical knowledge of AI concepts and tools, applied to strengthen data integration solution design Strong proficiency in Python for building and maintaining data integration applications Hands-on experience working within cloud environments built on Amazon Web Services Solid background in Data Integration, connecting and consolidating data from diverse sources Capable of using SQL to structure, manage, and retrieve data from relational databases Familiarity with NoSQL database technologies for handling unstructured or semi-structured data Understanding of CI/CD practices that enable consistent, automated software and pipeline releases Working knowledge of Google Cloud Platform for managing and deploying cloud-based data solutions Experience with Apache Airflow for orchestrating and scheduling data workflows Practical experience with Databricks or Snowflake for managing large-scale data processing and analytics Hands-on knowledge of Apache Spark for processing and analyzing large datasets Knowledge of SDLC Methodologies and their implementation to support organized, efficient project execution Experience working within Agile frameworks to support iterative, collaborative development Fluent English communication skills at a B2 level or higher