The Role This is a foundational analytics engineering position within a data platform team that sits at the center of the business. The work involves building and maintaining the data infrastructure, pipelines, and self-service tooling that analysts,

data scientists, and business stakeholders rely on daily. The team is building out its analytics engineering function from the ground up, which means real ownership and direct influence over how data flows across the organization. This role is based in Barcelona,

Spain. Relocation assistance is available. The working model is hybrid with two days per week in the office. What the Work Looks

Like Day to Day 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 Technical Stack Transformation: DBT (core tooling for this role) Orchestration: Dagster Warehouse:



Redshift Language:

Python (primary), SQL (advanced) Infrastructure: Kubernetes,

Terraform What Is Required 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 What

Strengthens an Application Experience contributing to or building out an analytics engineering practice, not just inheriting one.

Candidates who have thought about data modeling standards,

documentation culture, and self-service enablement alongside pipeline engineering will stand out. Ownership mindset matters as much as technical depth here.

Working

Model and Location This role is based in Barcelona, Spain, working hybrid with two fixed office days per week (Mondays and Thursdays) at the office. Relocation assistance is available for candidates moving to Barcelona. Full remote is not available for this position. Please submit your CV in

English.

📌 Analytics Engineer - all genders - (Cataluña)
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📍 Cataluña