Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the RoleAs a Data Engineer, you will be responsible for building data products to enable data-driven decision making across the organization and promote strategic planning. You will also deliver an improved understanding of the company’s various metrics to allow for better short and long-term forecasting and planning. You will develop close working relationships with various teams including Product, Analytics & Research, Finance, Sales, Marketing, and more.
*** A third party will recruit, hire, and employ this position.
What You'll Be Doing- Design and Model DWH, pipelines and data products
- Create new ETL processes and optimize existing ones, ensuring quality data deliverables
- Work with various teams to define key metrics (KPIs) and provide the methodologies to accurately measure Riskified’s performance
- Create smart, innovative and effective visualization methods, and promote engagement and implementation of them
- Be the main point of contact for technical support related to data activities for various teams within Riskified
- Minimum 3-4 years of experience in a Data Engineering or BI position - must
- Strong proficiency in SQL for querying, analyzing, and transforming data - must
- Knowledge in data modeling and DWH design - must
- Knowledge of data quality techniques and data monitoring design - must
- Experience in developing efficient ETL and pipeline processes - must
- Experience with BI tools such as Tableau, Looker or similar - must
- Knowledge in building pipelines in Airflow - an advantage
- Experience with Python - an advantage
- Bachelor’s Degree in Science/Data Systems Management/Industrial Engineering and Management
- Good comprehension of data, and how to tell the story behind it
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Recharge weekends
- Healthcare & dental benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
