Senior Data Engineer

Salary: £60,000 - 100,000 per year

Requirements:

• Demonstrable experience delivering data engineering solutions in complex project, programme, or enterprise environments.
• Strong experience designing and maintaining ETL/ELT pipelines, data integrations, 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, and supporting reporting, analytics, and business intelligence solutions.
• Understanding of information security, cyber security, and data protection requirements in enterprise environments.
• Experience gathering requirements from stakeholders and translating them into technical solutions.
• Ability to manage competing priorities and deliver high-quality outputs within project timescales.
• A degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or a related discipline; relevant professional certifications; or equivalent demonstrable experience.
• Strong analytical and problem-solving skills, technical leadership and mentoring abilities, and excellent stakeholder engagement and communication skills.
• Ability to influence data management best practice across teams, with a continuous improvement mindset and commitment to quality, sustainability, and secure data practices.
• Desirable: experience in engineering, infrastructure, construction, programme controls, PMO, or consultancy; cloud-native architectures, DevOps, CI/CD, or DataOps; Python, Spark, PySpark, Databricks, or equivalent technologies; information management on complex construction or infrastructure projects; enterprise data products; or AI and advanced analytics.

Responsibilities:

• 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 for reporting, analytics, and operational decision-making.
• Establish and apply data quality, validation, and assurance frameworks to support accurate, complete, and reliable 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 industry best practices.
• Ensure compliance with our standards for information management, data governance, cyber security, and data privacy.
• Troubleshoot complex data issues and provide technical expertise and guidance to project teams.
• Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.
• Mentor junior team members through 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.

Technologies:

• AI
• Azure
• Business Intelligence
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Fabric
• Support
• Power BI
• Python
• PySpark
• SQL
• Security
• Spark

More:

We are Arcadis, a company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. Our more than 34,000 people across over 30 countries work together to improve quality of life and address complex challenges. We are seeking a Senior Data Engineer in our Program & Project Controls department, based on-site in London, Greater London. In this technical specialist role, you will work with multidisciplinary teams and technologies including Microsoft Fabric, Azure Data Services, SQL, and Power BI to support reporting, analytics, digital transformation, and data-driven decision-making. We offer the opportunity to do meaningful work delivering sustainable solutions and to shape your career through a skills-based approach. We believe everyones contribution matters and are committed to equality, diversity, inclusion, and belonging, fostering a workplace where people with different experiences can develop innovative ideas.

last updated 40 week of 2026