Senior Data Lead (M/F/D) - Linde Gas

Linde Gas

Barcelona

Presencial

EUR 90.000 - 130.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Linde Gas seeks a Senior Data Architect to own the Data Governance and Data Platform framework for Homecare Europe. You will drive a multi-year Data & AI transformation across multiple countries and act as the RSW authority on data architecture, aligning data strategy with regulatory needs.

You will design a lakehouse-based platform, build pipelines in Databricks, and implement secure data handling to deliver governed data products, while mentoring teams and setting engineering standards.

Formación

  • 8+ years in data architecture and data engineering for enterprise platforms.

Responsabilidades

  • Own Data Governance and Data Platform framework for Homecare Europe; implement and operate Data Platform.
  • Lead multi-country Data & AI transformation roadmap.
  • Act as RSW authority for Data & AI architecture and influence global decisions.
  • 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).
  • Implement governance and security with Unity Catalog and manage PII per GDPR.
  • 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.

Conocimientos

Leadership
Cross-functional collaboration
Governance
Data architecture
Mentoring
Budget management
Strategic planning
Data governance

Herramientas

Databricks
Spark
Delta Lake
Unity Catalog
Power BI

Descripción del empleo

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.

  • high safety standards
  • unlimited (permanent) contract
  • full-time role
  • 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
  • 8+ years in data architecture and data engineering for enterprise platforms
  • 3+ years hands-on Databricks/Spark/Delta in production (lakehouse patterns)
  • experience establishing governance and access controls (Unity Catalog preferred) and handling sensitive data
  • familiarity with HL7 v2 / FHIR is a plus
  • experience integrating data from Azure-hosted applications and Microsoft SQL; external providers/IoT data is a plus
  • leadership of multi-country data or digital transformation programs in regulated industries
  • budget responsibility and management of multidisciplinary teams
  • cross-functional collaboration
  • leadership and mentoring
  • Databricks
  • Spark
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