Data Platform Engineer

TL;DR

• We are looking for data engineers to design, build, and maintain the end-to-end declarative data platform that powers ingestion, transformation, and consumption across Lovable. You are obsessed about empowering teams to ensure data systems are scalable, reliable, safe and easy to use.

Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started.

We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we are looking for:

• Strong experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks or similar).
• Deep understanding of data ingestion frameworks, orchestration(Airflow, Dagster, Prefect or similar) and infrastructure as code (Terraform, Pulumi or similar).
• Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis or similar).
• Proficiency in SQL, and distributed systems. Knowledge in Go is a plus.
• Strong communication and documentation skills. Be able to align technical details with strategic goals.

What you will do:

• Develop and maintain core data infrastructure (data lake, warehouse, orchestration, observability, governance).
• Partner with other platform and domain teams to design data pipelines and implement declarative configuration for ingestion and transformation.
• Ensure data quality, lineage, and security standards are embedded across all workflows.
• Collaborate with Analytics Engineers to define modeling conventions and enforce schema governance.
• Implement CI/CD pipelines for data systems and assist with cost optimization and performance tuning.
• Define data platform best practices and support self-service enablement.

Our tech stack We're building with tools that both humans and AI love:

• Frontend: React
• Backend: Golang and Rust
• Cloud: Cloudflare, GCP, AWS, Many LLM providers
• DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform)

And always on the lookout for what's next!

How We Hire

• Fill in a short form then jump on an intro call with recruiter.
• Complete the general programming exercise.
• Show us how you approach problems during several technical interviews.
• Tell us about your most impressive project.

About Your Application

• Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join
• We treat all candidates equally - if you’re interested please apply through our careers portal