data engineer for cloud and SaaS billing

DoiT is a global technology company that helps cloud-driven organizations use cloud technology to drive business growth and innovation. It combines data, technology, and human expertise to help customers operate scalable, well-architected cloud environments. Its DoiT Cloud Intelligence solution helps customers solve multicloud problems and improve efficiency.

• Build integrations with third-party billing and usage APIs to expand vendor coverage and make more customer spending visible in the platform;
• Keep existing integrations current as vendors change their APIs and pricing models;
• Reduce the marginal cost of building each new integration;
• Use AI throughout the workflow to explore codebases and APIs, prototype, generate and review code, debug, write tests, and create documentation;
• Improve the use of AI tooling in the codebase and assess where it increases velocity while maintaining quality;
• Own the quality of integration data, addressing duplication, gaps, ingestion and reprocessing race conditions, spend deduplication, and support for customers' negotiated rates;
• Build checks and reconciliation processes to verify data accuracy;
• Design and build models to normalize vendor bills across units, currencies, time granularity, resource and service taxonomies, and cost categories;
• Own ingestion pipeline orchestration, scheduling, and backfills end to end, making backfills routine, safe, and self-service;
• Collaborate with product, support, and engineers using the data to identify gaps and propose work.

• 3+ Years of professional experience in data engineering or a data-heavy backend role;
• Production ownership of pipelines that other people depend on;
• Strong SQL skills, including writing, reading, and assessing the performance of non-trivial analytical queries;
• Hands-on experience building and operating data pipelines with an orchestration framework;
• Strong Python skills or fluency in another language used for data work;
• Experience with a cloud data warehouse or analytical store such as BigQuery, ClickHouse, Snowflake, or Redshift;
• Experience integrating third-party REST APIs, including handling pagination, rate limits, partial failures, late-arriving and restated data, and inaccurate vendor documentation;
• Strong focus on data correctness, including reconciling totals and building assertions;
• Regular use of AI tools across the engineering workflow and the ability to describe their practical benefits;
• Experience developing cloud solutions and/or using cloud services;
• Excellent written and spoken English;
• Self-organized, goal-oriented, self-motivated, confident, thorough, and tenacious;
• Nice to have: Dagster or Airflow experience, cloud or SaaS billing data experience, familiarity with Go, experience with financial or audit-grade correctness systems, exposure to FinOps practices or cloud financial management products, BA/BS degree or equivalent practical experience.

• Full-time employees receive unlimited vacation, flexible working options, health insurance, parental leave, an employee stock option plan, a home office allowance, a professional development stipend, and a peer recognition program;
• Remote full-time employment is available in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel; contractor arrangements are also available in Eastern Europe and Portugal;
• Remote team with flexible scheduling to balance work and home life;
• Professional and personal skills development is supported.