Overview We are seeking an experienced Lead Industrial Data Engineering Consultant to support the delivery of a strategic data modernisation programme within a manufacturing-focused environment. The successful consultant will be responsible for designing scalable Azure-based data solutions and enabling the organisation to leverage operational, production, and supply chain data more effectively. This role requires a strong understanding of both modern cloud data platforms and manufacturing data landscapes, as the consultant will be working with data generated across industrial operations and business systems. Please note: Candidates must already be based within the European Union. Applications from candidates located outside the EU cannot be considered.

Key Responsibilities
- Design, develop, and maintain scalable data ingestion and transformation solutions within the Azure ecosystem.
- Build enterprise-grade data pipelines that support analytics, reporting, and operational decision-making.
- Integrate and harmonise data from manufacturing and business systems, including production, quality, supply chain, ERP, MES, and IoT platforms.
- Optimise data processing, storage, and performance across cloud-based data environments.
- Establish and promote best practices for data engineering, governance, and quality management.
- Support the implementation of CI/CD standards and deployment automation for data solutions.
- Work closely with business, operations, and technical stakeholders to understand requirements and translate them into scalable solutions.
- Provide technical leadership and mentorship to data engineering teams. Required Experience & Skills
- Minimum 5 years of experience in Data Engineering.
- Strong expertise in Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and/or Microsoft Fabric.
- Extensive experience delivering enterprise ETL/ELT solutions.
- Strong understanding of data architecture and large-scale data transformation initiatives.
- Proven track record in data quality, governance, monitoring,



and performance optimisation.
- Experience with DevOps and CI/CD principles within data engineering environments.
- Previous technical leadership experience within enterprise data teams.
- Must be based within the European Union. Manufacturing Data Experience Candidates must demonstrate hands-on experience working with manufacturing and operational datasets, including one or more of the following:
- Production and operational reporting
- Manufacturing Execution Systems (MES)
- Supply chain and inventory management data
- Quality management and traceability data
- Industrial IoT and sensor-generated data
- Plant performance and operational analytics
- ERP-to-manufacturing data integrations Experience gained in manufacturing, industrial production, chemicals, mining, metals, building materials, or other asset-intensive industries is highly desirable. Candidate Profile
- Strong hands-on technical leader with excellent problem-solving abilities.
- Able to bridge the gap between business requirements and technical delivery.
- Comfortable working with both operational and IT stakeholders.
- Experienced in delivering large-scale cloud and data transformation initiatives.
- Strong communication and stakeholder management skills. Let op: vacaturefraude Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
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📌 Lead Azure Data Engineer (Madrid)
🏢 Global Enterprise Partners
📍 Madrid