ElevenLabs · jobs.ashbyhq.com · checked today
Data Engineer
ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta.
Skills, with evidence
- dbt
Expert knowledge of dbt (required).
must have - Python
Proficiency with tools across the modern data stack (Python, SQL, BI tools).
- SQL
Proficiency with tools across the modern data stack (Python, SQL, BI tools).
- GCP
Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers).
not practised here - Terraform
Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers).
not practised here - Data quality
You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.
- Failure handling
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- Dashboards & BI
- Proficiency with tools across the modern data stack (Python, SQL, BI tools).
not practised here
Your plan
- The SQL screen: correct, then fast≈ 1 h
SQL · Data quality
- Average order value by countryFoundations
- Line items per orderFoundations
- Revenue by buyer countryFoundations
- Customers who never orderedFoundations
- Hiring funnel by roleFoundations
- Python: the data-wrangling round≈ 2 h
Python
- Clean spreadsheet headers into column namesFoundations
- Events normalization jobFoundations
- List the distinct composite keysFoundations
- Deduplicate rows, first one winsFoundations
- Remove repeats from a sorted list of partitionsFoundations
- Data modelling: the round most people fail≈ 1 h
dbt
- Addresses that stay true to the pastIntermediate
- Pipeline design: safe to run twice≈ 3 h
Failure handling
- After the first one finishesFoundations
- The history nobody keptFoundations
- The spreadsheet is a dependencyFoundations
- Waiting for the fileFoundations
- Where did the rows go?Foundations
- Say it out loud≈ 1 h
16 drills · Foundations + Intermediate≈ 7 hours
Not covered by the plan: GCP, Terraform, Dashboards & BI.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 2 dremoved the moment ElevenLabs closes it