Data Platform Engineer
At a glance
Mid-level Data Engineering role at Lovable. Stockholm · full-time.
Pay not stated Data Platform Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain the platform components that handle data storage, orchestration, monitoring and governance
- Work with platform and domain teams to configure how data enters the system and gets transformed
- Build quality checks, lineage tracking and security controls into data workflows
- Set data modeling conventions with Analytics Engineers and keep schemas consistent
- Create CI/CD pipelines, tune system cost and speed, and help teams use data tools independently
What you bring
- You have strong experience with cloud data platforms such as Snowflake, BigQuery or Redshift
- You understand data ingestion, orchestration and infrastructure-as-code approaches in depth
- You are proficient in SQL and distributed systems, and can work with event-driven architectures
- You communicate clearly, document your work and connect technical choices to strategic goals
Who this fits
This mid-level, full-time role is based onsite in Stockholm. You'll suit work that combines core data infrastructure with collaboration across platform, domain and analytics teams. Applications must be submitted in English.
From the employer
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 is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
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
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