[Hiring] Data Engineer @DoiT

Role Description

Our Data Engineer will be an integral part of our R&D team. 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.

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. The vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see.

You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about where it earns its place.

Responsibilities

• Expanding vendor coverage.
• Working AI-augmented.
• Data correctness and completeness.
• Normalization across vendors.
• Pipeline ownership.
• Collaborating and problem-solving.

Qualifications

• 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on.
• Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries.
• Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired; equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow.
• Strong Python, or another language you use fluently for data work.
• Experience with a cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake, Redshift or similar).
• Experience integrating third-party REST APIs, including handling the realities: pagination, rate limits, partial failures, late-arriving and restated data, and vendors whose documentation is wrong.
• A real instinct for data correctness. You are the kind of engineer who reconciles totals, questions a number that looks plausible, and builds the assertion rather than assuming.
• AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them.
• Experience developing solutions in the cloud and/or using cloud services.
• Excellent communication skills in English, both written and verbal.
• Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious.

Bonus Points

• Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, marketplace billing, or the FOCUS specification.
• Familiarity with Go, which we use across our backend services.
• Experience with systems that carry financial or audit-grade correctness requirements - invoicing, metering, revenue reconciliation, or billing engines.
• 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

Company Description

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. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.