Senior Data Engineer

5V Video; United States; Remote; USD 112,000 - 162,000; Full time

Job summary

5V Video is seeking a Senior Data Engineer to own the measurement and experimentation stack for a European rollout of a new recommendation model. You will join two senior engineers to deliver a tightly scoped measurement framework across three platform environments, focusing on shipped, observable results.

You will build the A/B testing framework, handle audience segmentation and activation, develop Databricks ETL pipelines in SQL and Python, and integrate Optimizely for test setup and

Qualifications

• Strong Databricks (SQL & Python) and production ETL experience.
• Hands‑on experimentation work — A/B test infrastructure, not just reading results.
• Optimizely or comparable experimentation platforms.
• Analytics architecture and real‑time metrics at consumer scale.
• Senior enough to be productive in week one; fast delivery of measured results.

Responsibilities

• Own the A/B testing framework across three platform environments.
• Lead audience segmentation and activation for tests.
• Build ETL pipelines in Databricks (SQL and Python) feeding the experimentation layer.
• Integrate Optimizely SDK and webhook for test setup and measurement.
• Develop real-time engagement metrics collection, dashboards and alerting.

Skills

Databricks

Python

SQL

A/B testing

OpenFGA

Optimizely

Real-time metrics

Tools

Databricks

OpenFGA

Optimizely

Job description

Senior Data Engineer — Measurement & Experimentation | 5-month contract | Fully remote (Europe)

A major European streaming group is rolling out a new recommendation model across three of its platforms. The model is built and tested. What’s needed now is the measurement framework that proves it actually moves engagement.

That’s this role. Two senior data engineers, joining an existing team, working to a tight delivery window.

What you’ll own:

• The A/B testing framework, operational across three separate platform environments
• Audience segmentation and activation — getting the right viewers into the right tests
• ETL pipelines in Databricks (SQL and Python) feeding the experimentation layer
• Optimizely SDK and webhook integration for test setup and measurement
• Real-time engagement metric collection, dashboards and automated alerting on test health
• Fine-grained permissions with OpenFGA across the analytics architecture

What we’re looking for:

• Strong Databricks (SQL and Python) and production ETL experience
• Hands‑on experimentation work — A/B test infrastructure, not just reading the results
• Optimizely or comparable experimentation platforms
• Analytics architecture and real‑time metrics at consumer scale
• Senior enough to be productive in week one. The window is short and the goal is shipped measurement, not onboarding

The non-negotiable: AI literacy at L3 or above:

This client assesses AI practice on an internal scale, and L1 and L2 won’t be considered. L3 means you run full workflows with skills, sub‑agents and MCP servers, and you build reusable AI artifacts that other engineers actually adopt — not just agent‑mode coding on your own machine.

Candidates who orchestrate several agents in parallel are especially welcome.

Be ready to show concrete evidence: the skills, sub‑agents, MCP servers or agentic workflows you’ve built and used on real projects. It gets explored properly at interview.