Data Engineer – Cloud, SaaS Integrations

🔥 0 minutes ago

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

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Maintain existing integrations as vendor APIs and pricing models change • Reduce the marginal cost of building additional integrations • Use AI daily for codebase and API exploration, prototyping, code generation and review, debugging, testing and documentation • Own data quality, including duplication, gaps, race conditions, deduplication and negotiated-rate handling • Build checks and reconciliation to verify data accuracy • 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 • Collaborate with product, support and engineering teams to identify and address data gaps • Propose and drive improvements without waiting for a detailed 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 • 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 and experience reconciling totals and building assertions • AI-augmented working style; already use AI tools across the engineering workflow • Experience developing solutions in the cloud and/or using cloud services • Excellent communication skills in English, written and verbal • Self-organized, goal-oriented, self-motivated, confident, thorough and tenacious

🏖️ Benefits

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