We are seeking a remote Senior Data Software Engineer to join our team. This position requires a highly skilled professional with expertise in Apache Spark, Microsoft Azure, and Python. You will work on a high\-impact project for a globally recognized brand, contributing to the development of innovative data solutions that support business growth and success. **Responsibilities** * Collaborate with cross\-functional teams to design, implement, and maintain data integration systems * Build and optimize data pipelines leveraging Apache Spark, Microsoft Azure, and Python * Ensure data pipelines are scalable, reliable, and maintainable * Convert data science models into production\-ready applications * Develop and support forecasting models to inform strategic business decisions * Maintain data quality and consistency across all data sources * Monitor and enhance data pipelines to ensure efficient data processing * Work with data scientists to create and deploy machine learning models * Continuously refine and improve data integration solutions to meet changing business requirements * Stay informed about emerging trends and technologies in data software engineering **Requirements** * A minimum of 3 years of experience in data software engineering or a related role * Advanced proficiency in Apache Spark, Microsoft Azure, and Python * Deep understanding of forecasting models, MLOps practices, and data science concepts * Hands\-on experience with Databricks for building and optimizing data pipelines * Proven ability to deploy data science models in production environments * Proficiency in using Git for version control * Strong knowledge of Azure concepts, including clouds, regions, ADLS, and compute services * Exceptional analytical and problem\-solving skills, with the ability to think critically and innovate solutions * Experience working in Agile development environments * Strong written and verbal English communication skills at a B2\+ level **Nice to have** * Experience with Panda for data manipulation and analysis * In\-depth knowledge of SQL and relational database systems * Understanding of statistical models and experience developing them using Python or Spark * Familiarity with machine learning tools and technologies