Senior Data Engineer

At Voicemod, our mission is to enable people to supercharge their voice wherever they communicate, fostering self-expression and belonging. We create audio tools that let gamers, streamers, and content creators shape their online identity with voice changers, soundboards, and real-time effects. Millions of people use Voicemod every day to enhance their interactions and have fun.

We’re a team of 90+ people working remotely, from our Valencia HQ, or from our coworking space in Barcelona. We’re passionate about pushing the boundaries of audio and building products that make digital spaces more expressive and playful. At Voicemod, we care deeply about our people and users — if you share our passion, we’d love to meet you!

At Voicemod, our values are more than just words — they shape how we work every day:

🚀 Be Brave – Courage drives progress.
🏆 Show Ownership and Accountability – Impact begins with ownership.
🎸 Embrace Passion at Play – Passion builds success.
🤝 Grow Together – Go further by growing together.

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.

• 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.

• 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.

• 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).

• 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.

• Video interviews: Cameras on, no virtual backgrounds. We use Google Meet.

• Timezone: Most of our jobs require people to be based in a country within a ±2 hour range from Central European Time (CET/CEST).

• Work location transparency: Be upfront about where you'll work from — we value honesty!

• Flexible Working Hours ⏰ – Adapt your job to your lifestyle. You do you!

• Remote Working 🌍 – Choose to work from home, our Valencia HQ, or the coworking space in Barcelona.

• 23 vacation days 🌴 – Plus an extra week off in August and your birthday.

• Anniversary Celebration Program 🎉 – The longer you’re with us, the more you unlock: gifts, extra days off and volunteering days to support a cause you care about.

• Generous Referral Program 💼 – Earn rewards for helping us find and hire amazing talent.

• Extra time off when life gets tough 🤝 – When something personal and difficult comes up, we sit down with you to understand your situation and find a flexible solution. Your life matters, not just your work.

• Health insurance 🏥 – Private health insurance for all employees.

• Flexible Benefits Plan 💳 – Available for employees based in Spain, allowing you to optimize part of your salary (e.g., meals, transport, childcare) and save a significant amount of money each year.

• Remote Stipend 💸 – To cover remote working costs.

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If you haven't used Voicemod yet, you can download it here!