ppJoin to apply for the bData Engineer /b role at biRESTORE /b /p pAt 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. /p h3Role Overview /h3 piRestore 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‑driven decision‑making across the company. /p pWe’re looking for a strategic, execution‑focused team player who can bridge deep technical skills with business insight. 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. /p h3You will: /h3 ul liTake technical ownership of the team’s data stack, including implementation of tools for tracking, reporting, and automation /li liImplement and maintain integrations such as tracking pixels, server‑to‑server (S2S) connections, and event tracking systems to support marketing campaigns /li liBuild and maintain pipelines for real‑time reporting on spend and performance across platforms /li liDesign and implement attribution models to measure and improve campaign effectiveness /li liAct as the technical point of contact (POC) for the User Acquisition team, troubleshooting issues related to tracking,



naming conventions, URLs, and APIs — including coordination with external partners /li liDevelop and implement automation solutions to improve the User Acquisition team’s productivity /li liCollaborate with cross‑functional teams to support marketing initiatives and resolve technical challenges /li liBuild pipelines for inventory forecasting across DTC (Shopify) and marketplaces (Amazon, TikTok Shop, etc.), supporting Operations and Logistics teams in marketing‑aligned planning /li /ul h3Required Skills and Experience: /h3 ul li4+ years of proven experience in data engineering, preferably within eCommerce or technology industries /li liAdvanced proficiency in SQL and data warehouse modeling /li liHands‑on experience managing cloud data warehouses such as BigQuery or Snowflake or any other MPP /li liProficiency in Python for automation and data manipulation /li liExperience with modern data stack tools such as dbt, Airflow, and Looker/Tableau/Power BI /li liStrong understanding of marketing data ecosystems, including APIs, tracking pixels, server‑to‑server (S2S) integrations, and event tracking systems /li liFamiliarity with eCommerce platforms and marketing tools such as Shopify, Amazon Seller Central, Google Ads, and Meta Ads /li /ul h3Nice to Have:



/h3 ul liExperience working with containerization tools such as Kubernetes and Docker /li liExperience with GCP or other cloud platforms beyond BigQuery / Snowflake /li liProven ability to work effectively in fully remote and distributed team environments, leveraging async communication, autonomy, and collaboration across time zones. /li /ul h3Our Core Values and what we built our culture around: /h3 ul liWE THINK BIG: We have a forward‑thinking, growth mindset and always consider the big picture in our decisions /li liPROACTIVE PROBLEM SOLVER: We use our problem‑solving and analytical skills to make data‑informed decisions /li liWE ARE COMFORTABLE BEING UNCOMFORTABLE: We work together to iron out improvements or changes to achieve goals /li liOPEN HONEST COMMUNICATION/FEEDBACK: We communicate and share feedback with each other with radical candor and transparency /li liCONTINUOUS LEARNING IMPROVEMENT: We are always improving the way we work and challenging each other to bring new ways of thinking to the table /li liPASSIONATE ABOUT WHAT WE DO: We strive to motivate and empower each other to contribute to a positive team culture /li /ul h3Competitive Compensation and Benefits: /h3 ul liMedical and dental benefits after 6 months of tenure /li liPaid Time Off (PTO) for all full‑time team members /li liHigh growth trajectory with quarterly/annual reviews /li liQuarterly Internet Reimbursement /li liGym membership credit – your physical and mental health is super important /li liWork from anywhere - this is a remote opportunity /li liAnnual Team Bonding Event /li /ul h3Seniority level /h3 pMid‑Senior level /p h3Employment type /h3 pFull‑time /p h3Job function /h3 pInformation Technology /p h3Industries /h3 pHealth, Wellness Fitness /p h3Location /h3 pMadrid, Community of Madrid, Spain /p /p #J-18808-Ljbffr

📌 Data Engineer (España)
🏢 iRESTORE
📍 España