Est. Monthly
Estimated €6,677 - €8,507
Posted August 22, 2025 · 372 days agoLast seen August 27, 2026Est. expiry September 26, 2025
Data Platform Engineer
How this salary compares
Salary Context: Data Platform Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Market Average: Data Platform Engineer
€7,083
€8,750
Market Average: Mid-Level Level
€7,083
€8,750
All roles in Stockholm, Sweden
€3,904
€12,918
This job's pay range — not quoted in ad (Mid-Level)
€556
€709
Salary analysis
Compared with the selected benchmark ("All roles in Stockholm, Sweden"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€3,904–€12,918). The listed pay band (€556–€709) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 13 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Platform Engineer | €7,083/per month | €7,917/per month | €8,750/per month |
| All roles in Stockholm, Sweden | €3,904/per month | €7,051/per month | €12,918/per month |
About the role
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.
Job Details
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
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. Be able to align technical details with strategic goals
Skills & Technologies
SnowflakeBigQueryRedshiftDatabricksAirflowDagsterPrefectTerraformPulumiKafkaPub/SubKinesisSQLGoGolangRust
Recruitment Process
- 1Fill in a short form then jump on an intro call with recruiter.
- 2Complete the general programming exercise.
- 3Show us how you approach problems during several technical interviews.
- 4Tell us about your most impressive project.
Seen 1 day ago
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