Easy Apply
Easy Apply
As a Data Engineer, you'll design, build, and optimize data pipelines, collaborate with teams, and enhance data reliability and scalability.
The Data team builds and runs the data platform that powers critical product features and gives every team reliable insights. We process billions of events monthly and store more than 30TB of data, supported by 200+ data pipelines. Among the outcomes, 150+ dashboards and dozens of tools/automations help the company scale and make smarter and faster decisions.
What makes our team unique is our central role: we sit at the intersection of Product, Operations, and the Engineering. From an organizational standpoint, we’re embedded within the Engineering Tech squad, working alongside DevOps and Architects to design, build, and operate the infrastructure that powers our Product. As a Data Engineer, you’ll work side by side with our Senior Data Engineer and our Senior Data Analyst to scale our platform and deliver accurate, reliable, and well-structured data. Beyond data infrastructure, you’ll directly contribute to two key 360Learning missions: embedding AI into every team across the company and putting it in the hands of our clients.
Within 1 month, you will:
- Discover 360Learning, its platform, its teams and its culture.
- Become familiar with our data stack and ways of working.
- Understand the team’s processes
Within 3 months, you will:
- Take ownership of a data pipeline end-to-end (design, build, monitor).
- Optimize existing SQL/dbt models or ETL pipelines for performance and cost
- Collaborate with Analysts and Product squads to deliver datasets and reliable pipelines
- Contribute to improving observability (logging, alerting, monitoring) in the data stack
Within 6 months, you will
- Collaborate with other squads to deliver a Product feature
- Design and implement a real-time pipeline to serve the Product
- Become the go-to person for ETL pipelines development
Within 12 months, you will:
- Drive initiatives around data reliability, scalability, cost optimization
- Help define the Data Engineering roadmap in partnership with Product, analytics, and DevOps
- Lead the design of new components in the data platform
The Skill Set:
- 2+ years of experience in a Data Engineering or in a similar role
- Experience with cloud providers (AWS, Azure, GCP)
- Proficient in SQL/Python, experience with an orchestration tool (e.g. Airflow) and a data warehouse (Snowflake, BigQuery, Redshift)
- Strong understanding of data modelling, warehousing principles, and performance optimization techniques
- Ability to break down ambiguous problems into concrete, manageable components trying to pick up the most simple and efficient solutions
- You are used to managing different types of interlocutors while exposing technical & business problems
- Listening skills: open to input from other team members and departments
- Fluent English (US/UK) / B2 level or equivalent (FR)
- Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L
What we offer:
- Compensation: Package includes base salary and a variable component 📈
- Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies.
- Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠
- Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
- Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
- Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture:https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻💻🏆
Interview Process:
- Phone Screen with our Talent Acquisition Manager
- Discovery Meeting with our Senior Data Manager
- Case study Meeting with our Senior Data Manager and a Software Architect
- Clarification Meeting with our Data Analyst and an ML engineer
- Culture Fit Meeting with our Director of Technology
- Offer!
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Top Skills
Airflow
AWS
Azure
BigQuery
GCP
Python
Redshift
Snowflake
SQL
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