Senior Data Integration Engineer (AI, Python, Databricks)

We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity. You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake. Apply now to help deliver high-quality integrations and keep advancing your AI skills Responsibilities Design scalable, long-lasting data integration systems that satisfy both business and technical needs Collaborate with cross-functional teams to deliver work on time while meeting quality standards Contribute to architecture discussions by sharing input that shapes data integration direction Review peers’ code and provide actionable feedback to uphold reliable engineering practices Troubleshoot complex technical problems that arise across the data pipeline lifecycle Mentor junior colleagues by sharing knowledge that strengthens their technical skills Support planning activities by clarifying scope and providing trustworthy time estimates Stay current with evolving technologies and introduce valuable approaches into day-to-day work Maintain clear documentation of key technical decisions and data workflows to ensure long-term stability Partner with stakeholders to define goals and verify outcomes meet expectations Requirements At least 3 years of applicable, relevant professional experience Functional knowledge of AI principles and tools, applied to improve data integration solution development Advanced proficiency in Python for developing and maintaining data integration applications Hands-on background working in cloud environments built on Amazon Web Services Strong foundation in Data Integration, combining and harmonizing data from multiple sources Solid SQL skills for structuring, managing, and querying relational databases Familiarity with NoSQL database systems to work with unstructured and semi-structured data Understanding of CI/CD practices that enable consistent, automated deployment of software and pipelines Working knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutions Experience with Apache Airflow to schedule, orchestrate, and monitor data workflows Practical experience with Databricks or Snowflake to support large-scale processing and analytics Hands-on knowledge of Apache Spark for processing and analyzing substantial datasets Awareness of SDLC Methodologies and how they support organized, efficient project delivery Experience working in Agile settings that encourage iterative, team-oriented development Confident English communication skills at a B2 level (Upper-Intermediate) or higher