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Data Platform Engineer

Lovable· EPD
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StockholmFull-timePosted 11mo ago

About the role

Data Platform Engineer responsible for designing, building, and maintaining Lovable's end-to-end declarative data platform to power ingestion, transformation, and consumption across the company. Focus on scalable, reliable, safe, and easy-to-use data systems and enabling teams.

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.
  • Define data platform best practices and support self-service enablement.

Qualifications

  • 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.

Skills

Required:cloud-based data platformsdata ingestion frameworksinfrastructure as codeevent-driven architectureSQLdistributed systemscommunication & documentation
Nice to have:Go
Last updated Oct 21, 2026. Interested? Apply on the company site.
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