Senior Data Engineer (Demand Planning)

Within OSST Demand Planning, we build solutions for forecasting at scale.

We’re looking for an ambitious Senior Data Engineer to lead the Data Engineering horizontal team serving multiple platforms:

• Forecasting platform, building Machine Learning solutions
• Web Apps platform, building multiple web applications

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

Responsibilities

• Lead a team of internal and external Data Engineers, covering both technical leadership and people management.
• Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources.
• Build scalable pipelines to enable efficient data processing and analysis.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Troubleshoot data-related issues.
• Analyze and organize raw data.
• Contribute to the development of data models.
• Maintain data engineering documentation.
• Leverage coding standards and best practices to ensure efficient, reusable services and components.
• Collaborate with Data Scientists, AI Engineers, and DevOps Engineers in day-to-day tasks.
• Interact with other IT organizations, including Architects, Platform Teams, and Data Publisher Teams.

Job Qualifications

Our ideal candidate has:

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

What we offer

• Work in an 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, savings plans, lunch subsidy, sports cards, and an in-office fitness center.
• Internal coaching programs and training.
• Flexible working arrangements.
• Long-term career development and growth opportunities.
• A hybrid work model with the option to work from home two days a week and spend time in the office to foster teamwork and communication.