Data Engineer - BI & Data Infra Lead (Remote)

iRESTORE; España; Remote; USD 64,561 - 88,038; Full time

Benefits offered by this job

Medical and dental benefits after 6 months

Paid Time Off (PTO)

Quarterly Internet Reimbursement

Gym membership credit

Annual Team Bonding Event

Job summary

A health and wellness company seeks a talented Data Engineer to build their data infrastructure and empower data-driven decision-making. This remote role involves overseeing the BI stack, managing data pipelines, and collaborating with various teams to optimize customer performance. The ideal candidate has 4+ years of experience in data engineering, strong SQL and cloud data warehouse skills, and proven ability to work effectively in remote environments. Competitive compensation and benefits offered.

Qualifications

• 4+ years of data engineering experience, ideally in eCommerce.
• Hands-on experience managing cloud data warehouses.
• Strong understanding of marketing data ecosystems.

Responsibilities

• Design and implement our business intelligence infrastructure.
• Build and maintain reporting pipelines for real-time performance.
• Collaborate across teams to resolve technical challenges.

Skills

Data engineering experience

SQL proficiency

Cloud data warehousing

Python for automation

Familiarity with eCommerce platforms

Tools

BigQuery

dbt

Looker

Kubernetes

Job description

iRESTORE is a fast-growing company dedicated to providing innovative solutions in the wellness and beauty space. Our mission is to restore confidence by providing safe and effective solutions for improving health and beauty. As we continue to scale, we are looking for an Data Engineer who will lead and optimize our BI stack, from data warehouse to reporting and modeling, to drive data-informed decisions company-wide

About The Position

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-driven decision-making across the company.

We’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.

What You’ll Do:

• 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
• Build and maintain pipelines for real-time reporting on spend and performance across platforms
• Design and implement attribution models to measure and improve campaign effectiveness
• Act 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
• Develop and implement automation solutions to improve the User Acquisition team’s productivity
• Collaborate with cross-functional teams to support marketing initiatives and resolve technical challenges
• Build pipelines for inventory forecasting across DTC (Shopify) and marketplaces (Amazon, TikTok Shop, etc.), supporting Operations and Logistics teams in marketing-aligned planning

WHAT WE’RE LOOKING FOR:

Required Qualifications

• 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

Nice to Have:

• 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.

Our Core Values and what we built our culture around:

• WE THINK BIG: We have a forward-thinking, growth mindset and always consider the big picture in our decisions
• PROACTIVE PROBLEM SOLVER: We use our problem-solving and analytical skills to make data-informed decisions
• WE ARE COMFORTABLE BEING UNCOMFORTABLE: We work together to iron out improvements or changes to achieve goals
• OPEN & HONEST COMMUNICATION/FEEDBACK:We communicate and share feedback with each other with radical candor and transparency
• CONTINUOUS LEARNING & IMPROVEMENT:We are always improving the way we work and challenging each other to bring new ways of thinking to the table
• PASSIONATE ABOUT WHAT WE DO:We strive to motivate and empower each other to contribute to a positive team culture

Competitive Compensation and Benefits:

• Medical and dental benefits after 6 months of tenure
• Paid Time Off (PTO) for all full-time team members
• High growth trajectory with quarterly/annual reviews
• Quarterly Internet Reimbursement
• Gym membership credit – your physical and mental health is super important
• Work from anywhere - this is a remote opportunity