Analytics Engineer

WhyHireWrong?

Analytics Engineer in Barcelona owning data pipelines and self-serve tooling. Building reliable ETL/ELT and partnering across teams for data impact.

Posted 5/25/2026full-timeBarcelona • 🇪🇸 SpainMid-LevelSenior💰 €52,000 - €68,000 per yearWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain reliable, tested, and well documented ETL and ELT pipelines and DBT models
Work with stakeholders across the business to understand data needs and translate them into high quality, reusable data products
Identify gaps and improvement areas across the data ecosystem and shape the analytics engineering roadmap
Build and maintain self-service tools and datasets that allow engineers, data scientists, and analysts to get to insights quickly
Partner with Product Engineering, Data Science, and Analytics teams to enable effective use of the data platform
Investigate and resolve data related bugs and technical issues in platform tooling and DBT models
Contribute to and lead cross-team data projects with a focus on reliability, efficiency, and testability

Requirements

What you’ll need

4 or more years of experience in data engineering, analytics engineering, BI engineering, software engineering, or data science
Strong Python skills with a focus on writing clean, high quality, maintainable code
Advanced SQL skills including writing, tuning, and debugging queries against large, multi-source datasets
Proven experience building ETL or ELT pipelines that are reliable, monitored, and easy to maintain
Experience gathering requirements from stakeholders and translating them into well structured datasets
Comfortable communicating and collaborating across both technical and non-technical teams
Familiarity with the majority of the tech stack listed above

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account WhyHireWrong? Website LinkedIn All Job Openings 1 - 10 employees 👥 HR Tech 🎯 Recruiter ☁️ SaaS HR Tech
Recruitment
SaaS WhyHireWrong? is a hiring and recruitment platform that appears to provide a web-based portal for employers and applicants to manage projects, applications, and user logins. The site references project listings, an application/login flow for existing users, and is powered by a technology layer (SIGL:IO), indicating a software-first delivery model. Contact details are provided, suggesting a service-oriented offering to connect candidates with roles or help organizations streamline hiring. Analytics Engineer 🔥 3 hours ago 🏢🏡 Barcelona – Hybrid 💵 €52k - €68k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer ETL Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain reliable, tested, and well documented ETL and ELT pipelines and DBT models
Work with stakeholders across the business to understand data needs and translate them into high quality, reusable data products
Identify gaps and improvement areas across the data ecosystem and shape the analytics engineering roadmap
Build and maintain self-service tools and datasets that allow engineers, data scientists, and analysts to get to insights quickly
Partner with Product Engineering, Data Science, and Analytics teams to enable effective use of the data platform
Investigate and resolve data related bugs and technical issues in platform tooling and DBT models
Contribute to and lead cross-team data projects with a focus on reliability, efficiency, and testability 🎯 Requirements
4 or more years of experience in data engineering, analytics engineering, BI engineering, software engineering, or data science
Strong Python skills with a focus on writing clean, high quality, maintainable code
Advanced SQL skills including writing, tuning, and debugging queries against large, multi-source datasets
Proven experience building ETL or ELT pipelines that are reliable, monitored, and easy to maintain
Experience gathering requirements from stakeholders and translating them into well structured datasets
Comfortable communicating and collaborating across both technical and non-technical teams
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Hard Skills & Tools

ETLELTDBTPythonSQLdata engineeringanalytics engineeringBI engineeringsoftware engineeringdata science

Soft Skills

communicationcollaborationstakeholder engagementproblem-solvingleadershiporganizational skillstranslating requirementscross-team collaborationanalytical thinkingattention to detail