Data Engineer - Cloud & SaaS Integrations

DoiT is a global technology company specializing in cloud-driven solutions to help organizations leverage the cloud for business growth and innovation. They deliver DoiT Cloud Intelligence, integrating advanced technology with human intelligence to solve complex multicloud challenges. The company has extensive experience with Kubernetes, GenAI, CloudOps, and partners strategically with AWS, Google Cloud, and Microsoft Azure, serving over 4,000 customers worldwide.

• Minimum 3 years of professional experience in data engineering or a data-heavy backend role with production pipeline ownership.
• Strong skills in SQL for writing and analyzing analytical queries.
• Hands-on experience with data pipeline orchestration frameworks, preferably Dagster or Airflow; experience with Prefect, dbt, or similar is relevant.
• Proficient in Python or another language used fluently for data work.
• Experience with cloud data warehouses or analytical stores such as BigQuery, ClickHouse, Snowflake, or Redshift.
• Experience integrating third-party REST APIs handling pagination, rate limits, partial failures, and inconsistent documentation.
• Strong focus on data correctness and building assertions to verify data quality.
• Familiarity with AI-augmented engineering workflows and ability to leverage AI tools effectively.
• Experience developing cloud-based solutions and using cloud services.
• Excellent English communication skills, both verbal and written.

Nice to have:

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

• Build new integrations against third-party billing and usage APIs to increase customer spend visibility.
• Maintain and update existing integrations as vendors change APIs and pricing models.
• Use AI tools daily across your development workflow, including code exploration, prototyping, debugging, testing, and documenting.
• Ensure data correctness by addressing duplication, gaps, ingestion issues, and reconcile spend from multiple sources.
• Design normalization models for vendor bills to provide consistent units, currencies, time granularity, taxonomies, and cost categories.
• Own orchestration, scheduling, and backfill mechanics for end-to-end ingestion pipelines.
• Collaborate with product, support, and engineering teams to identify and resolve data gaps and propose improvements.

This role is remote and open to candidates based in the UK, Ireland, Estonia, the Netherlands, Sweden, Israel, Eastern Europe, and Portugal with options for full-time employment or contractor arrangements.