Senior Data Engineer

About Agaton

Agaton is the leading deep voice AI platform for enterprise sales and customer service teams. Our proprietary technology analyses every customer conversation, not just what's said but how it's said, surfacing the buying signals, unmet needs and churn risks in calls companies already make. We turn that into better conversations, making both human and AI agents measurably stronger, so teams drive more sales, stronger retention and higher quality.

Founded in 2024 by Andreas Kullberg and John Kristensen, Agaton has offices in Stockholm and New York, serving global brands such as Telenor, Axo Group, Telia, AIG and Tele2. The Agaton team previously held key positions at Google, Spotify, Salesforce, Slack and Tink.

Agaton is backed by Inception Fund, Alstin Capital and Sequoia Capital Scout Fund, alongside angels including Silo AI founder Peter Sarlin, HubSpot's Kieran Flanagan and King co-founder Sebastian Knutsson.

The Opportunity

As our Senior Data Engineer, you'll play a foundational role in building and scaling our data platform. You will be responsible for the full lifecycle of our data platform, including the design and maintenance of an end-to-end declarative data platform to manage data ingestion, transformation, and consumption.

What You'll Be Doing 🚀

• Develop core data infrastructure, partnering with other engineers to design data pipelines.
• Design and maintain an end-to-end declarative data platform to manage data ingestion, transformation, and consumption.
• Ensure high standards for data quality and security across all data systems.
• Implement CI/CD pipelines for data systems.
• Conduct code reviews, design documentation, and contribute to the overall software architecture of the data platform.

What We're Looking For 🤩

Essential

• Proven experience as a Senior Data Engineer with extensive background in designing and maintaining an end-to-end declarative data platform.
• Extensive experience with cloud-based data warehouses like BigQuery and AWS Athena, data transformation tools like DBT, and deep knowledge of orchestration tools such as Temporal and Airflow.
• Strong software engineering skills (Python, GO) and experience with large-scale system design, API development, and proficiency in SQL and distributed systems.
• Familiarity with data wrangling and building ETL pipelines
• Excellent communication skills, with ability to present complex technical results to non-technical stakeholders and collaborate effectively with cross-functional teams.
• An AI-native engineering mindset: Ship 10x faster without trading away reliability, security, or maintainability.

Bonus Points

• Startup or founding experience, especially building AI/ML engineering capabilities from zero to scale.
• Curiosity and customer-centricity with passion for deeply understanding user needs and finding solutions from first principles.

What We Offer 👀

• Competitive salary & equity package - be part of building something meaningful and different
• Six weeks annual paid vacation - we believe in work-life balance
• Wellness budget - invest in your health and wellbeing
• Learning & development budget - continuous growth and skill development
• Stockholm-based role with flexibility and modern office environment
• Unprecedented impact opportunity - help reshape how the world communicates with customers

Ready to Build the Future?

We're looking for someone who cares deeply about code quality, ships fast, and is eager to make a dent in the world. If you're excited about building and scaling the data platform that powers AI-driven customer transformation, we want to hear from you.

This is more than a job - it's your chance to be part of a generation-defining company that's transforming how businesses communicate and grow. Join us in building something extraordinary.

Apply now and help us unlock the intelligence within customer conversations.

This position is based in Stockholm, Sweden. Please submit your application in English - it's our company language and you'll be using it daily if you join our team.