Senior Data Engineer - Cloud Data Pipelines & Governance

Poutrix; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Arcadis seeks a Senior Data Engineer to design, develop, and optimise enterprise-scale data solutions supporting major projects and business functions. You will build scalable data pipelines and products using Microsoft Fabric, Azure Data Services, SQL, and Power BI, ensuring data governance and security across the lifecycle.

You will translate business requirements into robust data engineering solutions while mentoring teammates and driving automation and best practices in data management and

Qualifications

• Experience delivering data engineering solutions in complex environments.
• Strong ETL/ELT design and data integration knowledge.
• Hands-on with Fabric, Azure Data Services, SQL, and Power BI.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integrations.
• Lead implementation and optimisation of Microsoft Fabric and cloud data solutions.
• Develop data models and enterprise data products for reporting and analytics.
• Ensure data quality, governance, and security across datasets.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Mentor junior engineers and contribute to engineering standards.

Skills

ETL/ELT pipelines

Microsoft Fabric

Azure Data Services

SQL

Power BI

Data modelling

Governance & data quality

Cyber security

Education

Degree in Computer Science/Data Engineering

Microsoft Fabric certification

Azure Data Engineering certification

Tools

Python

Spark/PySpark

Databricks

CI/CD / DataOps

Job description

Arcadis seeks a Senior Data Engineer to design, develop, and optimise enterprise-scale data solutions supporting major projects and business functions. You will build scalable data pipelines and products using Microsoft Fabric, Azure Data Services, SQL, and Power BI, ensuring data governance and security across the lifecycle.

You will translate business requirements into robust data engineering solutions while mentoring teammates and driving automation and best practices in data management and