Senior Data Engineer – Commercial Analytics

Job not on LinkedIn

🔥 9 minutes ago

🌐 United Kingdom, Denmark, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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BigQuery

ETL

Python

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Logo of Pleo

Pleo

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 $42.9M Debt Financing - Pleo on 2024-04

B2B • SaaS • Fintech

Pleo is a spend-management platform for businesses that provides company cards, automated expense management and configurable spend controls. Its product messaging highlights AI-powered reviews, card limits, approval flows and other tools to manage corporate spending for small, medium and enterprise customers. Pleo is delivered as software to help finance teams control, track and automate business expenses and card usage.

📋 Description

• Design, build, and maintain data pipelines between HubSpot, Zuora, Vitally, and BigQuery • Own reverse ETL flows that push warehouse-enriched or warehouse-defined data back into operational tools • Implement and maintain data contracts with ownership, SLAs, and schema agreements • Partner with RevOps and BAT teams to translate operational data requirements into governed pipelines • Build monitoring and alerting for data quality issues • Centralise data flows through the warehouse and reduce point-to-point integrations • Work with Analytics Engineers to make pipeline outputs structured, documented, and modelling-ready • Engage tool owners and engineering teams to improve upstream data quality and schema discipline • Support the data side of a HubSpot reimplementation project • Collaborate with Data Platform, Analytics Engineering, and GTM teams on commercial analytics

🎯 Requirements

• Proven experience building and maintaining production data pipelines in a commercial or GTM data environment • Strong understanding of CRM data models, APIs, and field management; HubSpot or comparable experience • Hands-on experience with reverse ETL patterns • Extensive BigQuery experience • Experience implementing data contracts in a production environment • Python proficiency for pipeline development, transformation logic, and tooling • Git-based workflows and CI/CD experience for data engineering code • Experience operating within a SaaS organisation and collaborating closely with GTM teams • Physically based in the selected country with a valid right to work • English-language application and ability to use English at work • No visa sponsorship available

🏖️ Benefits

• Your own Pleo card • Catered meals or a lunch allowance based on your local office • Comprehensive private healthcare, depending on location • 25 days of holiday plus public holidays • Hybrid and fully remote working options • Free mental health and well-being support through MyndUp • Paid parental leave

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