Data Engineer

Job not on LinkedIn

🕒 May 20

🇪🇸 Spain – Remote

💵 €40k - €50k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 47%

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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Óscala

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

☁️ SaaS

Consulting • IT Services • SaaS

Óscala is a nearshore IT development company that serves as a bridge between businesses in Northwestern Europe and the software development community in Spain. With a focus on creating solid and lasting connections, Óscala offers exciting international job opportunities for IT professionals looking for new experiences without having to relocate abroad. The company promotes a flexible work environment, providing benefits including health insurance and professional development resources, making it an ideal choice for talent seeking to enhance their careers in technology.

📋 Description

• Develop and maintain robust ELT pipelines and transformation models. • Support and optimise our Snowflake data warehouse performance. • Build and maintain dbt models, ensuring associated documentation is current. • Monitor and troubleshoot failures across data pipelines, Airbyte connectors, schema changes, and ingestion issues. • Support critical Tableau reporting datasets and meet downstream reporting requirements. • Drive improvements in reliability, governance, and observability across the entire data platform. • Support Finance and commercial reporting needs, including revenue recognition, P&L, and margin analysis. • Work closely with stakeholders across Finance, Commercial, Product, and Operations. • Contribute actively to initiatives focused on data quality, metric consistency, and documentation.

🎯 Requirements

• 3–5+ years of experience as a Data Engineer • Strong hands-on experience with: • Snowflake • dbt • SQL • Python • ELT / ingestion tooling • Cloud infrastructure (AWS preferred) • Highly Desirable • Airbyte • S3 • Git-based workflows and CI/CD concepts • Tableau or equivalent BI tooling • Revenue or finance reporting datasets

🏖️ Benefits

• Full-time permanent role, based remotely • Competitive salary (40-50K) • Fast-growing international company • Work with top talent across the globe • Direct influence on product features and user experience • Ownership, autonomy, and professional growth