Data Engineer
At iRESTORE, our mission is to restore confidence by providing safe and effective solutions for improving health and beauty. As we scale, we're building a data?driven foundation to support smarter decisions across the business — and we're looking for a talented Data Engineer to lead the way in shaping our data infrastructure.
iRestore is seeking a highly skilled and hands?on Data Engineer / Analytics Engineer to lead the design, implementation, and optimization of our business intelligence infrastructure. This role will oversee our full BI stack — from our data warehouse (BigQuery), to reporting and visualization (Looker Studio), and eventually advanced modeling — empowering data?You'll work closely with teams across Marketing, Operations, Customer Experience, and Creative to build scalable data solutions that unlock growth opportunities, optimize performance, and improve customer satisfaction.
Take technical ownership of the team's data stack, including implementation of tools for tracking, reporting, and automation
Implement and maintain integrations such as tracking pixels, server?to?server (S2S) connections, and event tracking systems to support marketing campaigns
time reporting on spend and performance across platforms
Build pipelines for inventory forecasting across DTC (Shopify) and marketplaces (Amazon, TikTok Shop, etc.), aligned planning




4+ years of proven experience in data engineering, preferably within eCommerce or technology industries
Advanced proficiency in SQL and data warehouse modeling
Hands?on experience managing cloud data warehouses such as BigQuery or Snowflake or any other MPP
Proficiency in Python for automation and data manipulation
Experience with modern data stack tools such as dbt, Airflow, and Looker/Tableau/Power BI
Strong understanding of marketing data ecosystems, including APIs, tracking pixels, server?to?server (S2S) integrations, and event tracking systems
Familiarity with eCommerce platforms and marketing tools such as Shopify, Amazon Seller Central, Google Ads, and Meta Ads
Experience working with containerization tools such as Kubernetes and Docker
Experience with GCP or other cloud platforms beyond BigQuery / Snowflake
Proven ability to work effectively in fully remote and distributed team environments, leveraging async communication, autonomy, and collaboration across time zones.
solving and analytical skills to make data?Medical and dental benefits after 6 months of tenure
Paid Time Off (PTO) for all full?time team members
Quarterly Internet Reimbursement
Work from anywhere - this is a remote opportunity
Senior level
Full?time
Information Technology

📌 DATA ENGINEER: BI - REMOTO (Badajoz)
🏢 iRESTORE
📍 Badajoz