Senior Data Engineer

Job Description

Within OSST Demand Planning, the team builds solutions for forecasting at scale.

The Senior Data Engineer will lead the Data Engineering horizontal team, serving multiple platforms:

• Forecasting platform, building machine learning solutions
• Web Apps platform, building multiple web application solutions

You will shape scalable solutions across forecasting, optimization, and applied analytics domains in a global organization with strong data maturity.

Responsibilities

• Lead a team of internal and external Data Engineers, covering technical leadership and people management
• Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources
• Build scalable pipelines for efficient data processing and analysis
• Ensure data quality and integrity through validation and cleansing processes
• Troubleshoot data-related issues
• Analyze and organize raw data
• Contribute to data model development
• Maintain data engineering documentation
• Apply coding standards and best practices to create efficient, reusable services and components
• Collaborate daily with Data Scientists, AI Engineers, and DevOps Engineers
• Work with other IT organizations, including Architects, Platform Teams, and Data Publishers Teams

Job Qualifications

• Strong engineering background in Python, Spark, Databricks, Azure, SQL, Docker, Hive, CI/CD; pyrogAI is a plus
• At least 4 years of previous experience in an engineering role, such as Data Engineer, Software Engineer, or DevOps Engineer
• Proficiency in data engineering concepts, including data models and data pipelines
• Excellent collaboration skills and comfort working in a cross-functional team
• Demonstrated leadership, problem-solving, priority-setting, and people management success
• English proficiency and at least a Bachelor’s degree

What We Offer

• International team with global responsibilities, with a large part of the engineering team located in Warsaw
• Industry certifications, such as DevOps, Professional Scrum Master, Azure Fundamentals, and SAFe Agilist
• Competitive salary and benefits program, including private health care, life insurance, stock options, saving plans, lunch subsidy, sport cards, and an in-office fitness center
• Internal coaching programs and training
• Flexible working arrangements
• Long-term career development and growth opportunities
• Hybrid work model with the option to work from home two days per week and work in the office to foster teamwork and communication