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# Data Engineer

- **Company:** Ayvens
- **Location:** Majadahonda, Spain
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, R (Programming Language), Python (Programming Language), PostgreSQL, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, SQL Databases, Scripting, Data Storage Technologies, Data Lakes, Pyspark, Data Management, Key Vault, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=be0141eb133caca8

## About the Role

* Experience in ETL development, data warehousing, CI/CD, code design, and data modeling.

 * Experience with Azure platform and tools: Data Factory, Azure Databricks, Azure DevOps, Key Vault, VMs, Blob Storage, etc.

 * Experience with database and data storage technologies: SQL databases (SQL Server, Oracle, Postgres, etc.), ACID operations, data lakes, Delta Tables, Unity Catalog.

 * Experience in scripting and engineering development using PySpark, Python, R, etc.

 * Experience with Agile delivery frameworks: SCRUM, SAFe, project management methodologies.

 * Familiarity with data architecture concepts and solution design principles.

 * Familiarity with project/program management practices.

 * Familiarity with product lifecycle management.

## Description

This role combines hands-on knowledge of Azure-based data platforms, Databricks, data integration, and software delivery practices with project coordination and stakeholder management responsibilities. The Delivery Coordinator serves as a bridge between engineering teams, platform teams, product stakeholders, and management, ensuring technical initiatives are properly scoped, prioritized, tracked, and delivered.

The ideal candidate is a technically credible data engineer who understands the complexity of modern data platforms and can effectively coordinate delivery activities across multiple teams and workstreams.

Role:

 * Coordinate the delivery of data engineering initiatives across multiple projects and stakeholders.

 * Support project intake processes, ensuring requests are properly understood, documented, prioritized, and tracked.

 * Support roadmap planning and backlog management with Engineering Managers, Engineering Leads, and external stakeholders.

 * Facilitate sprint planning, delivery reviews, dependency tracking, and execution follow-up.

 * Monitor progress against commitments and escalate delivery risks, blockers, and dependencies when required.

 * Ensure project milestones, timelines, and deliverables remain visible and aligned across involved parties.

 * Support delivery commitments through effective coordination, communication, and follow-up activities.