Senior Data Engineer

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July 2

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method products pbc

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Method Products is part of Lifestyle Brands (the LSB), a growing house of like-minded brands under the SC Johnson umbrella including Method, Mrs. Meyer’s Clean Day, Babyganics and Ecover. Headquartered in San Francisco with additional operations in Chicago and throughout Europe, the LSB is home to 650 employees. Together we act as a force for bold, transformative growth with a focus on delivering positive impact for people and the planet. At the LSB we imagine the world that we want, then set out to create it. We do things differently, because we’re out to make a difference. If you’re into pioneering the future and doing good while doing business, come join us.

201 - 500 employees

📋 Description

• Your role is to collaborate with multidisciplinary individuals and support the project lead on data strategy and implementation projects. • You will be responsible for data and systems assessment, identifying the critical data and quality gaps required for effective decision support, and contributing to the data platform modernization roadmap. • This role is structured as a B2B contractor agreement. You will deliver services under a commercial contract, invoice us accordingly, and handle all obligations (tax, benefits, insurances) via your own organization. • Work closely with data scientists, data architects, business analysts, and other disciplines to understand data requirements and deliver accurate data solutions. • Analyze and document existing data system processes to identify areas for improvement. • Develop detailed process maps that describe data flow and integration across systems. • Create a data catalog and document data structures across various databases and systems. • Compare data across systems to identify inconsistencies and discrepancies. • Contribute towards gap analysis and recommend solutions for standardizing data. • Recommend data governance best practices to organize and manage data assets effectively. • Propose database design standards and best practices to suit various downstream systems, applications, and business objectives.

🎯 Requirements

• Proven experience (5+ years) in data engineering. • 5+ years of proven data engineering experience with expertise in data warehousing, data management, and data governance in SQL or NoSQL databases. • Deep understanding of data modeling, data architecture, and data integration techniques. • Advanced proficiency in ETL/ELT processes and data pipeline development from raw, structured to business/analytics layers to support BI Analytics and AI/GenAI models. • Hands-on experience with ETL tools including: Databricks (preferred), Matillion, Alteryx, or similar platforms. • Commercial experience with a major cloud platform like Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Blob Storage).

🏖️ Benefits

• Remote across Poland