a general technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions, is seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team on a full-time basis. About the Project We are redefining CRM for the age of AI.
We're delivering on the original promise of CRM - turning fragmented customer and revenue signals into clear, prioritized action. Our global team is united by a shared commitment to impact, ownership, and continuous growth. If you're excited to help shape what's next in AI-driven CRM - and build technology that drives real outcomes - we'd love to meet you.
Where You Fit In The predictive data platform powers revenue intelligence for mid-market enterprises by fusing ERP and CRM data into actionable insights.
As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy modernization.




You will work closely with ML engineers, product teams, and the Enterprise Architecture team to ensure the data backbone behind the predictive platform is always fast, clean, and ready to deliver at a global scale.
Impact You Will Make in the Role Own Databricks production support for the predictive data platform, including monitoring, alerting, and incident response across all production data flows.
Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders.
Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs.
Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during tra

📌 Data Engineer Senior (Madrid)
🏢 Intetics
📍 Madrid