Data Engineer - Cloud & SaaS Integrations

Location

This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. We are also open to contractors in Eastern Europe and Portugal.

Who We Are

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state — from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more, partnering strategically with AWS, Google Cloud, and Microsoft Azure.

The Opportunity

Cloud spend is no longer just AWS, Google Cloud, and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds, and AI vendors — each with its own billing API, pricing model, and definition of a line item. DoiT's Integrations Framework turns that into a single, trustworthy picture of cost.

We're hiring a Data Engineer to own the data side of this. Your mandate is expanding visibility — bringing more of a customer's spend into the platform, from more vendors, at a quality bar people can make financial decisions on. You'll work AI-augmented from day one, leveraging AI tools across your entire workflow.

Responsibilities

• Expanding vendor coverage: Build new integrations against third-party billing and usage APIs to make more spend visible. Keep existing integrations current as vendors change APIs and pricing models.
• Working AI-augmented: Use AI daily across your full workflow — exploring unfamiliar codebases and third-party APIs, prototyping, generating code, debugging, writing tests, and documenting.
• Data correctness and completeness: Own the quality of ingestion and reprocessing data (duplication, gaps, race conditions, marketplace spend deduplication, and negotiated rates support). Build checks and reconciliation mechanisms.
• Normalization across vendors: Design and build models that make dozens of differently-shaped vendor bills comparable across units, currencies, time granularity, resource taxonomies, and cost categories.
• Pipeline ownership: Own orchestration, scheduling, and backfill mechanics for ingestion pipelines end-to-end, making backfills a safe, routine, self-service operation.
• Collaborating and problem-solving: Work with product, support, and engineers building on top of this data to identify gaps and propose proactively solution pipelines.

Qualifications

• 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of data pipelines.
• Strong SQL skills: ability to write, read, and optimize performance for non-trivial analytical queries.
• Hands-on experience building and operating pipelines with an orchestration framework (Dagster or Airflow highly desired; Prefect, dbt, or comparable tools acceptable).
• Strong Python proficiency for data engineering tasks.
• Experience with cloud data warehouses or analytical stores (BigQuery, ClickHouse, Snowflake, Redshift, etc.).
• Experience integrating third-party REST APIs (handling pagination, rate limits, partial failures, and late-arriving data).
• A real instinct for data correctness, auditing numbers, and building assertion checks.
• AI-augmented working style: Experience actively using AI tools across engineering workflows.
• Experience developing solutions in the cloud.
• Excellent written and verbal communication skills in English.

Bonus Points

• Experience with cloud or SaaS billing data (AWS/GCP/Azure cost exports, marketplace billing, or the FOCUS specification).
• Familiarity with Go.
• Experience with systems carrying financial or audit-grade correctness requirements.
• Exposure to FinOps practices or cloud financial management products.
• BA/BS degree or equivalent practical experience.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program