Description

Turner & Townsend is hiring a Data Engineer in Madrid to design, build, and operate enterprise-grade reporting and analytics capabilities. The role covers scalable data pipelines, master and reference data, dimensional and semantic modelling, data quality, Power BI reporting, cost-management data solutions, DevOps, and data governance. It requires approximately 8–10 years of experience in data engineering, analytics engineering, or enterprise reporting, along with expertise in cloud data platforms, SQL, Python, Power BI, and related enterprise systems.

Required Skills

Microsoft Fabric
Databricks
Power BI
SQL
Python
Dimensional modelling
Data quality
Data governance
DevOps

Additional Information

Required Previous Experiences: Approximately 8–10 years of hands-on experience in data engineering, analytics engineering, or enterprise reporting platform delivery
Strong delivery experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Purview, Databricks, or equivalent cloud data technologies
Demonstrated expertise in dimensional modelling, semantic layer design, data warehousing, lakehouse concepts, and master data management
Strong practical experience building Power BI data models, DAX measures, governance controls, deployment pipelines, and interactive executive/business reporting
Experience integrating data from ERP, finance, project, procurement, HR, CRM, and other operational platforms through APIs, flat files, databases, or event-driven interfaces
Experience designing secure, maintainable data platforms, data access policies, audit trails, and compliance-aware engineering controls
Preferred Qualifications: Experience with Spark, PySpark, and data transformation frameworks
Experience delivering cost analytics, commercial reporting, or rate-card and cost-rate reference data solutions
Knowledge of Microsoft Fabric components, including Data Factory, OneLake, Lakehouse, Warehouse, Notebooks, Dataflows Gen2, Real-Time Intelligence, and Power BI integration
Experience with dbt, Git, Azure DevOps, Terraform, infrastructure-as-code, and automated testing frameworks
Exposure to AI/ML techniques relevant to data operations, anomaly detection, entity matching, or metadata enrichment
Familiarity with data governance and master data management operating models, including stewardship, taxonomy management, and business glossary design
Experience working in a consulting, transformation, or multi-stakeholder enterprise environment
Relevant certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, or Power BI certifications
Translation Company Name: Turner & Townsend

About Turner & Townsend

Turner & Townsend

Professional, Scientific, and Technical ServicesLeeds, England, GB5001-10000

Turner & Townsend has marked a major milestone by establishing its first office in Taiwan, with the opening of a Taipei-based location and expansion of its local operations. This move underscores the firm’s long-term commitment to one of Asia’s most dynamic and innovation-led markets.

Founded: 1946

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Lead Data Engineer at Turner & Townsend

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About Turner & Townsend

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