Join our collaborative team as a Data Engineer to play a key role in defining the technical direction and strategy of Xylem Vue's Data Lake, building high-quality analytical datasets and scalable pipelines that drive advanced analytics and AI-based solutions across the platform.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field
- Solid practical experience in data engineering: building ETL/ELT pipelines, working with large volumes of data, and implementing distributed workflows
- Experience designing and maintaining cloud-based Data Lakes and Big Data technologies
- Good understanding of data needs for AI/ML, feature engineering, and dataset design
- Proficiency in Python and SQL, and tools like PySpark/Spark, Databricks, Airflow (or similar)
- Experience with APIs, microservices, and data integration patterns
- Familiarity with MLOps, feature stores, and data governance frameworks
- Ability to collaborate with multidisciplinary teams and communicate complex concepts clearly
Benefits
- Competitive salary
- Opportunity to work with a collaborative team
- Chance to work on a challenging project in the water sector