HQ - Senior Analytics Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

HQ - Senior Analytics Engineer Madrid HQ, ES Join us to shape the future of work: your next adventure awaits! The role We're a small, well-established Analytics Engineering team sitting inside the HQ Data Team and serving the rest of the business - Finance; Product Strategy; Go-to-Market; Sales, Branding, and Marketing; and Software Engineering. We've recently completed our migration from Redshift to BigQuery, and we're adopting dbt Fusion. The development loop runs through the official dbt VS Code extension and dbt-lsp. Looker is our BI layer; dbt Elementary backs our observability. Alongside the day-to-day modelling work, we're assembling an agentic layer over the codebases and collaboration tools we interact with - dbt, BigQuery, Airflow, Terraform, GitHub, Jira, Notion, and Slack. The team uses Claude Code, and we are building an internal plugin marketplace of skills, commands, and agents for our work. We expect this kind of tooling-driven leverage to become a defining part of Analytics Engineering, and we'd rather be in front of that shift than carried along by it. We want someone who's excited to be in the middle of it - not just a consumer of AI tools, but someone who can help shape what the team builds. This is a role for someone who treats Analytics Engineering as a craft. We care about modelling clarity, performance and accuracy, documentation that's actually useful, and codebases that age well. We care about the meaning and value of the data we handle, not just the pipes that move it -

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