Data Platform Engineer

Job not on LinkedIn

🔥 47 minutes ago

🌐 Spain, Italy, +1 more countries – Remote

🇪🇸 Spain – Remote 🇮🇹 Italy – Remote 🇵🇹 Portugal – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Exfold

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Exfold is a recruiting and engineering-staffing service that helps companies hire software engineers faster and with less friction. They combine targeted sourcing (AI + curated networks) with human recruiter screening, candidate interviews, role scoping, and onboarding/ongoing integration support. Exfold emphasizes time-zone and language affinity, clearer hiring bars, and a focus on delivering only highly relevant candidates (their materials cite ~75% of candidates passing final interviews), and offers modular services from sourcing to full staffing for B2B clients.

📋 Description

• Help scale the SaaS platform to support more customers and data • Work with data pipelines that transform raw data delivered through APIs into enhanced datasets for data analysts and data scientists • Participate in the design and help drive implementation of the AWS-based data platform • Design, implement, and operate scalable streaming and batch pipelines • Partner with engineers and data analysts to build reliable, trusted, and understandable datasets

🎯 Requirements

• 5+ years in a similar role • Experience working with data pipelines in AWS • Experience with Python • Working proficiency with SQL • Experience creating and optimizing data models for data analysts using BI tools such as Tableau • Experience working in a fast-paced startup environment • Prior professional experience building streaming and batch pipelines • Experience with DBT or Dataform • Familiarity with data orchestration using Apache Airflow • Experience with Docker and Kubernetes • Experience working with large-scale data pipelines processing approximately 1TB of data per day • Experience with BigQuery and/or other data warehouse solutions such as Amazon Redshift • Ability to explain technical trade-offs and risks in non-technical language • Experience creating diagrams and documentation for cross-team alignment • Broad experience breaking down high-level system designs into deliverable tasks and providing realistic time and resource estimates • Passion for automation and monitoring

🏖️ Benefits

• Contractor, 40 hours per week • Remote work within European time zones (CET) • Meetings across U.S. time zones

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