# Senior Analytics Engineer at GetGround

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Build and evolve the analytics platform

- **Company:** GetGround (https://jobs.trythestack.co/companies/getground)
- **Location:** London, United Kingdom
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, dbt, BigQuery, Git, Data Modeling, Analytics Engineering, CI Pipelines, Product Analytics, Dagster, Count, Mixpanel, Avo, YAML, Stakeholder Management, Mentoring, Data Governance
- **Posted by employer:** 2026-05-26
- **Added to The Stack:** 2026-05-27
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/getground/b0d8c012-ce17-4b2e-a4da-4ddaa4a5153d (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-analytics-engineer-getground

## About the role

Responsibilities:
- Build and evolve the analytics platform and warehouse layer (BigQuery, dbt) to power product and business decisions.
- Design modular, testable and well-documented dbt models; own transformations, tests and CI pipelines.
- Co-govern the semantic layer (Count Metrics Catalog) and ensure high-quality event instrumentation (Avo, Mixpanel).
- Produce cross-business insights from analytics models and enable self-serve data for Product, Design, Growth and RevOps.
- Collaborate closely with cross-functional teams to translate product questions into reliable analytics and influence strategy.
- Mentor colleagues and help define analytics engineering best practices for an AI-first development culture.

Requirements:
- 3–5+ years of experience in analytics engineering, data engineering or similar roles with production-grade analytics.
- Fluency in SQL and experience with dbt and cloud data warehouses (BigQuery).
- Experience with git, CI pipelines for analytics, and modular dbt practices.
- Familiarity with event-level product analytics and tools like Dagster, Count, Mixpanel and Avo (or willingness to learn).
- Strong code-quality mindset, focus on reproducibility, testing and stakeholder trust; excellent communication and collaboration skills.
- Comfortable working in a hybrid environment and taking ownership in a fast-moving, ambiguous setting.

## Responsibilities

Build and evolve a data platform and warehouse layer using dbt and BigQuery to power business decision-making. Collaborate with cross-functional teams to deliver high-quality analytics products and enable self-serve data capabilities.

## Requirements

Requires 3-5+ years of experience in analytics or data engineering with fluency in SQL, dbt, and cloud warehouses. Candidates must have experience with CI pipelines and event-level product analytics data.

## FAQ

- **Is this Senior Analytics Engineer role still open?** It was posted on 2026-05-26. Listings more than 30 days old may no longer be active, so check GetGround's site before applying.
- **Does GetGround offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on GetGround's site.
- **Where is this role located?** The listing gives the location as London, United Kingdom. It is marked remote.
- **What skills does this role ask for?** The listing names: SQL, dbt, BigQuery, Git, Data Modeling, Analytics Engineering, CI Pipelines, Product Analytics, Dagster, Count, Mixpanel, Avo, YAML, Stakeholder Management, Mentoring, Data Governance.

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