Senior Data Software Engineer

We are looking for a remote Senior Data Software Engineer to join our team. This role requires a technical expert with a strong background in Apache Spark, Microsoft Azure, and Python. You will have the opportunity to work on a high-impact project for one of the world's leading brands, contributing to innovative data solutions that drive business success.

Responsibilities

• Work closely with cross-functional teams to design, build, and maintain data integration solutions
• Develop and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
• Ensure data pipelines are reliable, scalable, and easy to maintain
• Transform data science models into production-ready solutions
• Create and maintain forecasting models to support business decision-making processes
• Ensure data consistency and quality across all data sources
• Monitor and fine-tune data pipelines for efficient and effective data processing
• Collaborate with data scientists to develop and implement machine learning models
• Continuously enhance and improve the data integration solution to meet evolving business needs
• Stay updated on emerging technologies and best practices in data software engineering

Requirements

• At least 3 years of experience in data software engineering or a similar role
• Advanced expertise in Apache Spark, Microsoft Azure, and Python
• Strong understanding of forecasting models, MLOps, and data science principles
• Hands-on experience with Databricks for building, maintaining, and optimizing data pipelines
• Proven ability to operationalize data science models for production environments
• Proficiency with Git for version control
• Solid understanding of Azure concepts, including clouds, regions, ADLS, and compute
• Strong analytical and problem-solving skills, with the ability to think critically and creatively
• Experience working in Agile development teams and environments
• Excellent English communication skills, both verbal and written, at a B2+ level

Nice to have

• Experience using Panda for data manipulation and analysis
• Strong knowledge of SQL and relational database structures
• Understanding of statistical models and experience developing models using Python or Spark
• Familiarity with tools and technologies in the machine learning space