Senior Data Engineer

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unybrands was founded in 2020 by a group of partners who shared a common vision to create the leading next-generation e-commerce platform for micro-brands. The company operates globally, with our headquarters located in Miami and additional teams based in Berlin, London, New York, and China. unybrands acquires e-commerce brands that operate on and off Amazon. unybrands integrates the brands into its platform, optimizes the business operations and economics, and expands to new product lines and geographies. With us, e-commerce brands reach new heights with expert operators and infrastructure.

About the Role

We’re looking for a seasoned Senior Data Engineer to help design and scale our next-generation data infrastructure. You’ll build robust data models and pipelines that power analytics, reporting, and machine learning for our e-commerce and retail platforms. If you’re passionate about data engineering and thrive in a dynamic environment, we’d love to hear from you.

Responsibilities

• Data Modeling: Design scalable data models (e.g., Dimensional, Data Vault) optimized for performance and future growth in BigQuery.
• Pipeline Development: Build and maintain fault-tolerant ETL/ELT pipelines using Python, SQL, and orchestration tools like Airflow and DBT.
• Cloud Data Warehousing: Drive best practices in schema design, query tuning, and cost optimization on BigQuery or similar platforms.
• Cloud Platforms: Utilize GCP and/or AWS for data ingestion, transformation, and orchestration.
• Data Governance: Ensure data quality, consistency, and lineage through governance and documentation.
• Performance Optimization: Identify opportunities to improve system efficiency and reduce costs.
• Mentorship: Provide technical guidance and foster best practices across the engineering team.
• Documentation: Maintain clear documentation for models, pipelines, and processes.

Qualifications

• 8+ years in data engineering or a related role.
• Strong expertise in data modeling, SQL, and cloud data warehouses (BigQuery, Snowflake).
• Proficiency in Python and experience with modern data stack tools (Airflow, DBT, Git).
• Hands-on experience with GCP or AWS and their data services.
• Background in e-commerce, CPG, or retail preferred.
• Excellent problem-solving and communication skills.

Required Skills

• Adaptability: Eager to learn and evolve with new technologies.
• Ownership: Take pride in delivering reliable, high-quality solutions.
• Collaboration: Team-first mindset with a willingness to share and learn.
• Impact Focused: Always thinking about how data drives business value.
• Problem Solver: Skilled at breaking down complex issues and finding practical solutions.

Pay range and compensation package

We offer competitive salaries, flexible working, full remote work summer, travel card, 30 days holiday and lots more benefits.

Equal Opportunity Statement

unybrands is an equal opportunity employer and considers all applicants for employment without any regard to race, skin color, religion, gender identity, sexual orientation, and age. Nor are applicants discriminated against based on disability or protected classes.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Analyst

• Industries

  Retail

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