data engineer for enterprise data platforms

Arcadis delivers sustainable design, engineering, and consultancy solutions for natural and built assets. The company operates across more than 30 countries and focuses on improving quality of life through complex infrastructure and built-environment projects.

• 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 supporting reporting, analytics, and operational decision-making;
• Establish and apply data quality, validation, and assurance frameworks;
• Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements;
• Drive continuous improvement through automation, process optimisation, and industry best practices;
• Ensure compliance with Arcadis standards for 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 junior team members through mentoring, knowledge sharing, and technical leadership;
• Contribute to 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 in complex project, programme, or enterprise environments;
• Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms;
• Experience 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 in 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;
• Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or a related discipline, or equivalent demonstrable experience;
• Strong analytical and problem-solving capability;
• Technical leadership and mentoring skills;
• Excellent stakeholder engagement and communication skills;
• Ability to influence data management best practice across teams;
• Commitment to quality, sustainability, and secure data practices;
• Nice to have: experience in engineering, infrastructure, construction, programme controls, PMO, or consultancy environments; cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices; Python, Spark, PySpark, Databricks, or equivalent technologies; Information Management in complex construction or infrastructure projects/programmes; enterprise data products; AI or advanced analytics initiatives; professional certifications in Microsoft Fabric, Azure Data Engineering, or Data Management.

• No conditions specified