Senior Data Integration Engineer (AI, Python, Airflow)

We are delivering complex data integration work and are looking for a Senior Data Integration Engineer with hands-on AI familiarity. You will design, review, and improve cloud-based pipelines using Python, SQL, Airflow, Spark, and platforms such as AWS, GCP, Databricks, or Snowflake in an Agile team. Apply now to build resilient integrations and keep growing your AI skills Responsibilities Design and implement scalable, durable data integration systems that meet business and technical needs Partner with multidisciplinary teams to complete deliverables on schedule and at the expected quality level Shape data integration project direction by actively contributing to architecture discussions Perform code reviews and deliver constructive feedback to maintain dependable engineering practices Analyze and fix complex technical issues across the end-to-end data pipeline lifecycle Support junior engineers’ development through mentoring and knowledge sharing Contribute to planning by clarifying scope and providing accurate time estimates Track emerging technologies and adopt valuable techniques into everyday work Create and maintain clear documentation of key decisions and data workflows for long-term stability Collaborate with stakeholders to define objectives and confirm results match expectations Requirements At least 3 years of applicable, relevant professional experience Functional knowledge of AI principles and tools used to enhance data integration solution development Advanced skill in Python for building and sustaining data integration applications Hands-on background operating within cloud environments built on Amazon Web Services Strong background in Data Integration, joining and consolidating data drawn from multiple sources Skilled in using SQL to organize, manage, and extract data from relational databases Familiarity with NoSQL database systems for handling unstructured and semi-structured data types Understanding of CI/CD practices supporting consistent, automated rollout of software and pipelines Working knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutions Experience with Apache Airflow for scheduling and organizing data-related workflows Practical experience with Databricks or Snowflake for supporting large-scale data processing and analytics Hands-on knowledge of Apache Spark for examining and processing substantial datasets Awareness of SDLC Methodologies and their use in enabling organized, efficient project management Experience working in Agile settings that support iterative, team-oriented development practices Confident English communication skills at a B2 level (Upper-Intermediate) or higher