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 16%

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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 vendor APIs and pricing models change • Reduce the marginal cost of developing subsequent integrations • Use AI throughout the workflow for codebase and API exploration, prototyping, code generation and review, debugging, testing, and documentation • Own data quality, including duplication, ingestion and reprocessing gaps, race conditions, marketplace spend deduplication, and negotiated-rate support • Build checks and reconciliation processes to verify data accuracy • Design and build normalization models for units, currencies, time granularity, resource and service 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 engineering teams to identify and address data gaps • Propose needed 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 skills, including writing, reading, and reasoning about 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 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 inaccurate vendor documentation • Instinct for data correctness, reconciliation, and assertions • AI-augmented working style and experience using AI tools across an 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 as a bonus point

🏖️ Benefits

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