Data engineering consultancy building modern cloud pipelines and APIs
Dataleaps is a 2–10 person data engineering firm in the Netherlands operating across AWS, Azure, and GCP with Python, dbt, BigQuery, and Terraform at its core. The hiring mix—three data roles and one engineer, all senior-level—reflects a pure-play services model: they're staffing billable delivery, not building product. Their project list (infrastructure automation, API exposure, reusable data products) and pain-point pattern (legacy-to-modern migrations, replacing ad-hoc solutions) show they're positioned to help mid-market companies escape fragmented data architectures.
Dataleaps is a data engineering consultancy based in Hoofddorp, Netherlands, serving mid-market organizations through managed services and project work. The firm specializes in cloud infrastructure (AWS, Azure, GCP), data transformation (dbt, BigQuery, Apache Spark), API design, and infrastructure-as-code (Terraform). Their active engagements focus on helping clients migrate from legacy systems to modern cloud-native architectures, automate operational overhead, and build reusable data products. With a senior-heavy headcount and data-focused hiring in the Netherlands, the company operates as a high-touch services firm.
Dataleaps builds on AWS, Azure, and GCP. They use cloud-native tools including BigQuery, Cloud Run, and terraform for infrastructure automation across all three platforms.
Python, dbt, BigQuery, Terraform, Apache Spark, SQL, AWS CDK, Apigee, and GitHub Actions / Bitbucket Pipelines for CI/CD. They also use Terraform and Cloud Run for infrastructure and deployment.
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