Data Engineer - Cloud & SaaS Integrations

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. The company delivers DoiT Cloud Intelligence, integrating advanced technology with human intelligence to help customers solve complex multicloud problems. It is a strategic partner of AWS, Google Cloud, and Microsoft Azure and serves more than 4,000 customers worldwide. The Data Engineer role is part of the R&D team and focuses on cloud and SaaS integrations for customer spend visibility.

• 3+ years of professional experience in data engineering or data-heavy backend roles with production pipeline ownership
• Strong SQL skills with ability to write and optimize analytical queries
• Hands-on experience with data pipeline orchestration frameworks such as Dagster or Airflow; familiarity with Prefect or dbt is relevant
• Proficient in Python or another language used fluently for data work
• Experience with cloud data warehouses or analytical stores including BigQuery, ClickHouse, Snowflake, or Redshift
• Experience integrating third-party REST APIs handling pagination, rate limits, partial failures, and inconsistent documentation
• High attention to data correctness with skills in reconciliation and assertions
• AI-augmented working style with practical experience using AI tools in engineering workflows
• Experience developing cloud solutions or using cloud services
• Excellent written and verbal communication skills in English
• Self-organized, goal-oriented, thorough, and tenacious

Nice to have:

• Experience with cloud or SaaS billing data such as AWS/GCP/Azure cost and usage exports or marketplace billing
• Familiarity with Go used in backend services
• Experience with financial or audit-grade correctness systems (invoicing, metering, billing engines)
• Exposure to FinOps practices or cloud financial management products
• BA/BS degree or equivalent practical experience

• Building new integrations against third-party billing and usage APIs to increase vendor coverage
• Keeping existing integrations current with changing vendor APIs and pricing models
• Using AI tools continuously across code exploration, prototyping, coding, debugging, testing, and documentation
• Ensuring data correctness and completeness including deduplication, gap handling, and support for negotiated rates
• Designing normalization models to make vendor bills comparable across units, currencies, time granularity, services, and cost categories
• Owning orchestration, scheduling, and backfill mechanisms for ingestion pipelines
• Collaborating with product, support, and engineering teams to identify gaps and propose improvements

This role is based remotely and open to full-time employees in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel, and contractors in Eastern Europe and Portugal.