Plain

1 month ago

Founding Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Founding Data Engineer to own and evolve Plain’s data foundations, including the data warehouse, core models, and a customer/account spine used by Product, GTM, Support, and Engineering. You’ll own end-to-end data pipelines, ensure observability and quality, build in-app reporting, and enable self-serve analytics while partnering across teams to scale data and AI features.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Entrepreneurship & Venture Building

Seniority: Mid level

Key Responsibilities

•Rebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering.
•Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account spine across product, billing, and CS context.
•Stand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees.
•Own in-app reporting: ship the analytics features that help support leaders turn their data into better decisions.
•Enable self-serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket.

Pay and Benefits

Salary: GBP 95,000 - 130,000 annually

Equity and Bonus:Equity

Key Requirements

•Strong SQL skills with experience in BigQuery and dbt/Dataform.
•Experience building analytics and AI retrieval layers for real-time data platforms (e.g., Tinybird, ClickHouse).
•Experience building modern analytics stacks end-to-end (warehouse, transformations, semantic layer, governance).
•Ability to own data pipelines, governance, quality, and observability across the data stack.
•Excellent collaboration across product, revenue, customer success, and engineering; comfortable operating as an IC with growth potential.

Experience:Data analyticsAnalyticsAISaaSB2B

Skills:SQLCommunicationProblem-solvingLeadership

Languages:English

Tech Stack:SQLBigQueryDbtDataformTinybirdClickHouse

Company Brief

Plain

Plain (Not Just Tickets Ltd) builds an AI-native, API-first collaborative support platform for scaling B2B teams, integrating channels like Slack, Teams, Discord and email to enable real-time customer collaboration and automation.

Industry: Enterprise Software

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 50M to 100M

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2020

Website LinkedIn Glassdoor

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Plain

1 month ago

Founding Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Entrepreneurship & Venture Building

Seniority: Mid level

Key Responsibilities

•Rebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering.
•Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account spine across product, billing, and CS context.
•Stand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees.
•Own in-app reporting: ship the analytics features that help support leaders turn their data into better decisions.
•Enable self-serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket.

Pay and Benefits

Salary: GBP 95,000 - 130,000 annually

Equity and Bonus:Equity

Key Requirements

•Strong SQL skills with experience in BigQuery and dbt/Dataform.
•Experience building analytics and AI retrieval layers for real-time data platforms (e.g., Tinybird, ClickHouse).
•Experience building modern analytics stacks end-to-end (warehouse, transformations, semantic layer, governance).
•Ability to own data pipelines, governance, quality, and observability across the data stack.
•Excellent collaboration across product, revenue, customer success, and engineering; comfortable operating as an IC with growth potential.

Experience:Data analyticsAnalyticsAISaaSB2B

Skills:SQLCommunicationProblem-solvingLeadership

Languages:English

Tech Stack:SQLBigQueryDbtDataformTinybirdClickHouse

Company Brief

Plain

Industry: Enterprise Software

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 50M to 100M

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2020

Website LinkedIn Glassdoor