Senior Data Engineer

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Arcadis is seeking a Senior Data Engineer to design, develop, and optimise enterprise-scale data solutions that support major projects, programmes, and business functions.

As a technical specialist within multidisciplinary teams, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions.

The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security.

• Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.
• Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.
• Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making.
• Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets.
• Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements.
• Drive continuous improvement through automation, process optimisation, and adoption of industry best practices.
• Ensure compliance with Arcadis standards relating to information management, data governance, cyber security, and data privacy.
• Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance to project teams.
• Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.
• Support the development of junior team members through mentoring, knowledge sharing, and technical leadership.
• Contribute to the development of organisational data engineering standards, frameworks, and reusable solutions.
• Support solution architecture, platform design, and strategic data initiatives across programmes and business functions.

• Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments.
• Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.
• Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.
• Strong understanding of data modelling, database design, metadata management, and data architecture principles.
• Experience implementing data quality, governance, and assurance practices.
• Experience supporting reporting, analytics, and business intelligence solutions.
• Understanding of information security, cyber security, and data protection requirements within enterprise environments.
• Experience working directly with stakeholders to gather requirements and translate them into technical solutions.
• Ability to manage competing priorities and deliver high-quality outputs within project timescales.

• Experience with in engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
• Experience with cloud-native architectures, Dev Ops, CI/CD pipelines, and Data Ops practices.
• Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering…