Data Engineer – Cloud & SaaS Integrations

🔥 0 minutes ago

🌐 United Kingdom, Ireland, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇮🇪 Ireland – Remote 🇪🇪 Estonia – Remote 🇳🇱 Netherlands – Remote 🇸🇪 Sweden – Remote 🇮🇱 Israel – Remote 🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 13%

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DoiT International

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

☁️ SaaS

💼 Consulting

SaaS • Cloud Services • Consulting

DoiT International is a cloud services company that provides comprehensive solutions for managing and optimizing cloud infrastructure across multiple platforms such as AWS, Google Cloud, and Microsoft Azure. Their services include cloud cost management, workload intelligence, automation, and consulting. DoiT International helps businesses optimize their cloud environments, improve performance, and enhance security through a combination of advanced technology and expert consulting.

📋 Description

• Build new integrations against third-party billing and usage APIs to expand vendor coverage • Maintain existing integrations as vendors change APIs and pricing models • Reduce the marginal cost of subsequent integrations • Use AI across codebase and API exploration, prototyping, code generation and review, debugging, testing, and documentation • Own integration data quality, including duplication, gaps, race conditions, deduplication, negotiated rates, checks, and reconciliation • Design and build normalized models across vendor bills, including units, currencies, time granularity, taxonomies, and cost categories • Own orchestration, scheduling, and backfill mechanics for ingestion pipelines end-to-end • Make backfills routine, safe, and self-service • Collaborate with product, support, and engineers using the data to identify and address gaps • Propose necessary work independently rather than waiting for a specification

🎯 Requirements

• 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, including performance reasoning for non-trivial analytical queries • Hands-on experience building and operating data pipelines with an orchestration framework • Dagster or Airflow highly desired; equivalent experience with Prefect, dbt or a comparable tool is relevant if ready to work in Dagster/Airflow • Strong Python, or another language used fluently for data work • Experience with a cloud data warehouse or analytical store such as BigQuery, ClickHouse, Snowflake, Redshift or similar • Experience integrating third-party REST APIs, including pagination, rate limits, partial failures, late-arriving and restated data, and incorrect vendor documentation • Instinct for data correctness, including reconciling totals and building assertions • AI-augmented working style, using AI tools across the engineering workflow • Experience developing solutions in the cloud and/or using cloud services • Excellent written and verbal communication skills in English • Self-organized, goal-oriented, self-motivated, confident, thorough and tenacious • BA/BS degree or equivalent practical experience is listed under Bonus Points

🏖️ Benefits

• Unlimited Vacation • Flexible Working Options • Health Insurance • Parental Leave • Employee Stock Option Plan • Home Office Allowance • Professional Development Stipend • Peer Recognition Program • Flexible schedule balancing work and home life • Remote work