DataEngineer/AIEngineer

As a Data Engineer / AI Engineer in the Operational Analytics team, you will be the hands-on builder who designs, develops, and maintains our data infrastructure from the ground up — ahead of full IT handover. This is not a Database Administrator role. We need someone who has built things from scratch, is comfortable operating in ambiguity, and is excited to shape both the engineering and AI layer of a growing analytics function. ## What You'll Be Doing * Write clean, well-documented Python and SQL code with a focus on performance, maintainability, and reusability. * Architect and develop data models within our centralized data platform, ensuring data quality, consistency, and traceability. * Build new data assets from raw sources, bridging operational systems and the analytical layer until IT takes full ownership. * Develop and implement AI/ML-enabled data features — including data enrichment, anomaly detection, and predictive pipelines. * Integrate AI APIs and LLM-based tools into data workflows to accelerate analytics at scale. * Work closely with analysts and business stakeholders to understand data needs and translate them into robust engineering solutions. * Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and serve data across the organization. * Support the transition of built solutions to IT once production-ready, ensuring proper documentation and handover. ## What You'll Bring * Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related field. * 3+ years of hands-on experience in data engineering, strong managing large datasets and fluent with SQL querying, including building ETL/ELT pipelines and data models from scratch. * Strong proficiency in Python (pandas, PySpark, or similar) and SQL. * Experience with cloud-based data platforms (e.g., Snowflake, Azure DL, AWS S3, Databricks). * Practical knowledge of AI/ML concepts and experience integrating AI capabilities into data products or pipelines