Turner & Townsend

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design, build, and operate enterprise-grade reporting and analytics infrastructure in Madrid. Create scalable data pipelines and curated models across diverse business systems using Microsoft Fabric, Databricks, and Power BI, enabling trusted reporting, cost analytics, and data governance for finance and operations.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Lead the end-to-end design and implementation of a reporting platform ingesting data from multiple internal business systems into Microsoft Fabric, Databricks, or a comparable cloud data platform.
•Design and maintain batch data pipelines using ELT/ETL patterns and orchestration frameworks.
•Develop and govern master and reference data structures to support consistent business definitions, dimensional modelling, and reporting quality.
•Profile, cleanse, transform, and validate source data; implement data quality controls, exception handling, reconciliation logic and auditability across the data lifecycle.
•Apply data modelling best practice to build reusable lakehouse / warehouse / semantic models optimised for reporting, drill-down analysis, and self-service consumption.

Key Requirements

•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.
•Advanced SQL skills and strong proficiency in Python; experience with Spark / PySpark and data transformation frameworks is highly desirable.
•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:8-10 yearsData analyticsEnterprise reporting

Skills:SQLPythonPower BIDAXNotebooksETL/ELTSparkPySparkGitTerraformAzure DevOpsDbtAzure Data FactoryDatabricksMicrosoft FabricAzure SynapseAzure SQLMicrosoft PurviewPower BI integrationData governance

Certifications:Microsoft Fabric Analytics Engineer AssociateAzure Data Engineer AssociateAzure Solutions Architect ExpertPower BI certifications

Languages:EnglishSpanish

Tech Stack:Microsoft FabricDatabricksPower BISQLPythonSparkPySparkSQL ServerAzure Data FactoryAzure SynapseAzure PurviewDAXGitAzure DevOpsTerraformDbt

Company Brief

Turner & Townsend

Global professional services firm providing program, project and cost management, advisory and consulting services across property, infrastructure and natural resources sectors to public and private clients worldwide.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Leeds, United Kingdom

Founded: 1946

Website LinkedIn

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Turner & Townsend

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Lead the end-to-end design and implementation of a reporting platform ingesting data from multiple internal business systems into Microsoft Fabric, Databricks, or a comparable cloud data platform.
•Design and maintain batch data pipelines using ELT/ETL patterns and orchestration frameworks.
•Develop and govern master and reference data structures to support consistent business definitions, dimensional modelling, and reporting quality.
•Profile, cleanse, transform, and validate source data; implement data quality controls, exception handling, reconciliation logic and auditability across the data lifecycle.
•Apply data modelling best practice to build reusable lakehouse / warehouse / semantic models optimised for reporting, drill-down analysis, and self-service consumption.

Key Requirements

•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.
•Advanced SQL skills and strong proficiency in Python; experience with Spark / PySpark and data transformation frameworks is highly desirable.
•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:8-10 yearsData analyticsEnterprise reporting

Certifications:Microsoft Fabric Analytics Engineer AssociateAzure Data Engineer AssociateAzure Solutions Architect ExpertPower BI certifications

Languages:EnglishSpanish

Tech Stack:Microsoft FabricDatabricksPower BISQLPythonSparkPySparkSQL ServerAzure Data FactoryAzure SynapseAzure PurviewDAXGitAzure DevOpsTerraformDbt

Company Brief

Turner & Townsend

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Leeds, United Kingdom

Founded: 1946

Website LinkedIn