Data Platform Engineer

Lovable
Stockholm
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Snowflake","BigQuery","Redshift","Databricks","Airflow","Dagster","Prefect","Terraform","Pulumi","Kafka","Pub/Sub","Kinesis","SQL","Go","Distributed systems","Communication","Documentation"]

Design, build, and maintain the end-to-end declarative data platform powering ingestion, transformation, and consumption across Lovable. You will enable scalable, reliable, safe, and easy-to-use data systems, collaborate with platform and domain teams, and help drive data quality, governance, and self-serve analytics. You’ll work in a tight-knit Stockholm-based team, implement CI/CD for data pipelines, and align technical work with strategic goals.

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FursaFursa
Lovable
Lovable
1 year ago

Data Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design, build, and maintain the end-to-end declarative data platform powering ingestion, transformation, and consumption across Lovable. You will enable scalable, reliable, safe, and easy-to-use data systems, collaborate with platform and domain teams, and help drive data quality, governance, and self-serve analytics. You’ll work in a tight-knit Stockholm-based team, implement CI/CD for data pipelines, and align technical work with strategic goals.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •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.

Key Requirements

  • •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; ability to align technical details with strategic goals.
Experience:Data engineeringCloud
Skills:SnowflakeBigQueryRedshiftDatabricksAirflowDagsterPrefectTerraformPulumiKafkaPub/SubKinesisSQLGoDistributed systemsCommunicationDocumentation
Languages:English
Tech Stack:SnowflakeBigQueryRedshiftDatabricksAirflowDagsterPrefectTerraformPulumiKafkaPub/SubKinesisSQLGoGolangRustReact

Company Brief

Lovable
Lovable builds a conversational AI platform that lets users create apps and websites by chatting with AI, automating full‑stack development and integrations to rapidly produce production-ready software.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: Stockholm, Sweden
Founded: 2023
WebsiteLinkedInGlassdoor