Overview
In this role you will own data governance and the data platform framework for Homecare Europe, ensuring reliability, compliance and business continuity across countries. You will steer a multi-year Data & AI transformation roadmap, act as the RSW authority on data architecture, and align data strategy with regulatory and clinical needs. You will shape a lakehouse-based data platform, build pipelines in Databricks, and implement governance and secure data handling to deliver governed data products. You’ll lead cross-functional governance and set engineering standards, contributing to the company’s digital transformation.
Compensaciones / Ventajas
- safe workplace
- high safety standards
- unlimited (permanent) contract
- full-time role
- career development opportunities
Responsabilidades
- Own Data Governance and Data Process framework for Homecare Europe; implement and operate Data Platform
- Lead multi-year Data & AI transformation roadmap across multiple countries
- Act as RSW authority for Data & AI architecture and influence global architecture decisions
- Drive cross-functional governance and align data strategy with regulatory and operational requirements
- Define target lakehouse architecture and roadmap for data sources and governed data products (Databricks-first)
- Build ingestion and transformation pipelines in Databricks (Python/PySpark, SQL, Delta Lake) with incremental loads/backfills
- Implement governance and security with Unity Catalog and manage PII per GDPR and internal policies
- Establish data modeling standards and KPI/semantic layers; deliver curated datasets for Power BI and APIs
- Set engineering standards for CI/CD, testing, monitoring, and runbooks; transfer knowledge to internal teams
- Contribute to digitalization and automation initiatives to advance the organization’s transformation
Requisitos principales
- 8+ years in data architecture and data engineering for enterprise platforms
- 3+ years hands-on Databricks/Spark/Del
📌 Senior Data Lead (Barcelona)
🏢 Linde Gas
📍 Barcelona
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