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# Data Engineer

- **Company:** Voicemod ️
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Training Data, Sql Data Warehouse, Artificial Intelligence, Airflow, Data Analysis, Information Engineering, Data Integration, Python (Programming Language), Raw Data, Mixpanel, SQL Databases, Datadog, Google Cloud, Data Ingestion, Sql Optimization, Large Language Models, Snowflake, Agentic-AI, Data Layers, Data Management, Looker Analytics, Google Meet
- **Published:** November 7, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-voicemod-10705627

## About the Role

* Solid experience in Data Engineering or Analytics Engineering, with advanced SQL skills.
 * Hands-on experience with dbt and a cloud data warehouse, ideally Snowflake.
 * Experience designing event tracking plans with product analytics tools such as Amplitude, Mixpanel or Segment.
 * Experience with ELT and data integration tools such as Weld, Stitch, dltHub or Fivetran.
 * Experience orchestrating workflows with Airflow or a similar tool.
 * Solid knowledge of data modelling (dimensional modelling, incremental models, slowly changing dimensions).
 * Comfort working directly with engineers, product managers and analysts, and translating their needs into data products.

Bonus Points

 * Experience making data AI-ready: semantic layers (dbt Semantic Layer, Cube), rich metadata, or connecting LLMs to a warehouse (for example via MCP or text-to-SQL).
 * Python for building and maintaining pipelines.
 * Experience with Google Cloud Platform (GCP).
 * Experience with BI tools beyond Looker, or with running a BI migration.
 * Experience with data quality and observability tooling.
 * A true passion for Voicemod's mission, products, and the company's technology and content nature.
 * A never-ending desire to grow and learn.

Hiring Process ️

 * 1️⃣ Talent Acquisition call: get to know Voicemod and share your experience (45 min).
 * 2️⃣ Technical interview - A conversation with a member of our team where we explore your technical skills through real situations and questions related to the role (up to 90 min).
 * 3️⃣ Final Interview - A conversation about collaboration and ways of working with the Director of Data (up to 60 min).

Important for Applicants

 * English: We work in English, and most of the interview process is in English too. B2 is the minimum for every role; some roles require more, as stated in the requirements.

## Description

We are looking for a Senior Data Engineer to help make Voicemod's analytics AI-driven. Your mission is to build AI-ready data: the best data and context, so AI can get the most out of it.

This is a full-stack role. You will design event tracking plans with product teams, build and run the ingestion pipelines that land our data in Snowflake, and model it in dbt. Just as important, you will make that data AI-ready, with the metric definitions, documentation and semantic models that let AI tools and people alike get accurate, trustworthy answers.

Our stack: We run a hybrid model: Amplitude for real-time product analytics, and Snowflake with dbt for slower, exact reporting. Data lands through Weld, Stitch and dltHub, orchestrated with Airflow., * AI-ready data: design the semantic layer and metadata (descriptions, metric definitions, business context) that let AI tools query our data accurately, and help move our reporting beyond Looker.

 * Data stewardship: own data quality tests, metric definitions and documentation, so both people and AI agents can find and trust the right data.
 * dbt modelling: develop dbt models that turn raw data into reliable, documented datasets ready for final consumption.
 * Keep real-time (Amplitude) and exact (Snowflake and dbt) reporting consistent, so the same metric means the same thing in both places.
 * Build, run and monitor ingestion pipelines with Weld, Stitch and dltHub, bringing product, payments, marketing and third-party data into Snowflake.
 * Orchestrate pipelines in Airflow, with alerting and clear recovery paths.