Lead Engineer, Data Platform

🕒 August 27

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

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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Q-tech

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1999

🎯 Recruiter

🤝 B2B

💼 Consulting

Recruitment • B2B • Consulting

Q-tech is an IT-focused recruitment firm and headhunter service that specializes in sourcing and selecting technology professionals. The company emphasizes an agile, honest, personalized and “artisanal” selection process, focusing on quality over quantity and alignment with client needs. Q-tech reports about 25 years in business, a team of 18 consultants organized across five technical areas, ~1,500 interviews annually, and over 1,000 clients; they operate from offices in Barcelona and Madrid and handle roles ranging from cybersecurity and data to software engineering and IT leadership. They work on a contingency-style fee (charged only if a professional is hired) and promote long-term matches between candidates and companies.

📋 Description

• Own the end-to-end architecture and evolution of the enterprise data platform across hybrid environments • Set the technical direction, roadmap, standards and reusable patterns for orchestration, scheduling and data processing • Lead architectural decisions, proofs of concept and adoption plans focused on scalability, security and cost • Establish reliability, observability and operational standards, including monitoring, alerting, failure recovery and SLOs • Drive automation through infrastructure as code, CI/CD and automated testing • Conduct design and code reviews • Mentor team members and champion a culture of engineering excellence • Provide a secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data across cloud and on-premises environments

🎯 Requirements

• 12+ years of experience in data/platform engineering, designing and operating enterprise-scale data platforms • Deep, hands-on Snowflake expertise (architecture, ingestion, transformation, workload management, cost, governance) • Production experience with Apache Airflow and Apache Kafka / event-driven architectures • Proven ability to integrate batch and streaming pipelines (Snowflake, Airflow, Kafka) • Advanced Python and SQL • Terraform, Git, CI/CD • Experience in regulated environments: security, data quality, access management and compliance • Proven technical leadership: team direction, mentoring and communication with technical and business stakeholders • Fluent English, written and spoken • Java experience for Kafka-based services/connectors is a plus • OpenShift or Kubernetes experience is a plus