# Delivery Engineer, EMEA

**Company**: Mixpanel
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/mixpanel/jobs/8124207?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_097a7be2-fd4

## Description

As a Delivery Engineer at Mixpanel, you will own the post-sales onboarding and data health for customers in the EMEA region.

Your goal will be to drive data trust, help embed Mixpanel into customers' data stacks, and deliver on emerging AI integrations.

You will work closely with the GTM team and a diverse array of customers to successfully roll out product analytics to their organizations and execute on technical projects and services that delight customers.

Responsibilities:

- Own onboarding and data health for strategic and high-value clients

- Align with pre-sales teams and consult with prospects/clients to define business goals and metrics

- Engage with customers' engineering, product management, and marketing teams to handle technical onboarding and optimize Mixpanel deployments

- Deliver technical services such as data architecture consultations and adoption and change management best practices

- Leverage modern data architecture expertise to create scalable data governance practices and data trust for customers

- Execute on deliverables while balancing project timelines, scope creep, and unanticipated issues

- Collaborate with technical and solutions partners on data optimization and onboarding projects

- Build AI automations to help customers manage their data at scale

- Consult with customers on integrating their agentic workflows with Mixpanel data

Requirements:

- Comfortable with data querying, modeling, and transforming in at least one core tool (SQL, dbt, Python, Business Intelligence tools, etc.)

- Familiar with databases and cloud data warehouses (Google Cloud, Amazon Redshift, Microsoft Azure, etc.)

- Familiar with product analytics implementation methods (SDKs, Customer Data Platforms, Event Streaming, Reverse ETL, etc.)

- Experience in customer success, client-facing professional services, consulting, or technical project management

- Excellent written, analytical, and communication skills

- Strong process and/or project delivery discipline

## Skills

### Required
- SQL
- dbt
- Python
- Business Intelligence tools
- Product Analytics tools
- data architecture
- project management

### Nice to have
- AI automation
- agentic workflows
- cloud data warehouses
- Customer Data Platforms

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/mixpanel/jobs/8124207?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)