Senior Data Engineer

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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knowmad mood

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

knowmad mood is a multinational digital transformation and technology services company that combines talent, technology and business expertise to help organizations modernize and innovate. It offers a broad portfolio of services including channels & commerce, UX/UI, mobile, platforms, data & analytics, cloud and infrastructure (including AWS), AI and emerging technologies (blockchain, IoT), Atlassian/IT governance, DevOps, QA & testing, security, and solution architecture. knowmad mood serves enterprise clients across sectors such as banking, telecom, retail, healthcare, energy, automotive and logistics, focusing on delivering sustainable, scalable digital solutions and consulting to B2B customers.

📋 Description

• Design, develop, and optimize large-scale data pipelines using Apache Spark and Python/PySpark • Create reliable, reusable, and well-structured datasets for business and analytical consumption • Develop and maintain cloud-based data solutions on Microsoft Azure • Process, transform, store, and expose data efficiently across platforms and applications • Implement data quality controls, validation processes, monitoring, and documentation standards across data pipelines • Collaborate with Data Engineering, Data Science, Architecture, and business teams to understand requirements and deliver practical data solutions • Contribute to engineering best practices related to code quality, testing, version control, CI/CD, and automation • Apply data governance, data cataloging, and data quality monitoring practices • Participate in the design of scalable cloud-based data architectures

🎯 Requirements

• 5+ years of experience in Data Engineering • 5+ years of hands-on experience with Apache Spark using Python/PySpark in production environments • Proven experience building and maintaining production-grade data pipelines in large-scale or complex data ecosystems • Strong understanding of dimensional data modeling and data warehouse design principles • Experience designing scalable cloud-based data architectures • Ability to provide technical guidance and support on ETL/ELT best practices and data engineering standards • Nice to have: experience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows • Nice to have: hands-on experience delivering data engineering solutions using Azure Databricks • Nice to have: familiarity with data governance and data cataloging frameworks

🏖️ Benefits

• Permanent contract • Remote work model; office attendance always optional and at the employee's choice • Flexible hours and intensive Fridays • Intensive working hours in July and August • 22 vacation days + 2 personal days • December 24th and 31st off • Option of 12 or 14 payments • Flexible compensation: restaurant card, childcare voucher, health insurance, training, and other tax-advantaged benefits • Discounts on technology, leisure, and training • Access to Udemy Business, language courses, official certifications, and technical training • Career plan and support to grow, specialize, or take on new challenges • Nutrition programs, physical activity, and emotional balance support • 24/7 personal and family support • Diverse and multicultural environment • Social events and team activities