Senior Data Engineer

Senior Data Engineer 

About Rent the Runway 

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewellery, handbags, activewear, ski wear, home goods and kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list four times, while Hyman herself has been named to the “TIME 100: Most Influential People in the World" and as one of People Magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

The Data Engineering team plays a pivotal role in the RtR Technology stack, responsible for both the Data Warehouse and the infrastructure on which all the data pipelines run.  The team works closely with the Data Science, Business Intelligence and Machine Learning teams.

About the Job:

As a Senior Data Engineer, you will play an integral role in setting up and monitoring the health of data ingestion and transformation pipelines, as well as managing and optimizing our Snowflake instance.  You will provide guidance and collaborate with upstream teams to address data governance concerns and requirements.  You'll have the chance to collaborate with exceptionally skilled individuals and enhance your expertise.  You will gain experience working in a wide range of technologies pulling data in from a variety of sources, including operational data stores like MySQL and MongoDB; web and mobile event tracking logs; internal and 3rd party APIs; streaming data sets; FTP transfers, and more.

What You’ll Do:

• Create new data ingestion and transformation pipelines using dbt, Python, and Prefect
• Manage the infrastructure and resources for data processing and storage
• Collaborate with cross-functional teams including data scientists, business intelligence and machine learning engineers to capture their requirements and deliver solutions to meet their needs
• Promote data quality standards to ensure the accuracy, completeness and integrity of data
• Produce and maintain comprehensive documentation including documentation of architecture, data dictionary,  models, pipelines and lineage.

About You:

• 5+ years in a data-professional related capacity (Data Analyst, Data Scientist, Data Engineer, etc.).
• You have expert-level SQL knowledge
• Experience using dbt to transform and test data pipelines
• You write clean, testable Python code and have experience deploying to a production environment
• You have extensive experience using workflow orchestration tools such as Prefect, Airflow or similar
• Experience using cloud-based data warehousing platforms such as Snowflake, BigQuery or similar
• Enjoy learning new technologies and helping others do the same
• You have excellent verbal and written communication skills and are comfortable communicating with both technical and non-technical stakeholders.
• Experience with BI tools like Looker or Tableau is an advantage
• You will have an interest in acquiring a skill set required for “Data Platform” work (i.e. cloud infrastructure, CI/CD processes, and terraform)

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered. 
• Company wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work - our corporate employees have the option to work remotely 3 days a week, in accordance with Company policies.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, and membership of the Traveller community.

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