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About the Role
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, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products, enabling reporting, analytics, digital transformation, and data-driven decision-making. The role requires strong technical expertise and stakeholder engagement to translate business requirements into sustainable data solutions while promoting best practices.
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 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.
Requirements
- 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 within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
- Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices.
- Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies.
- Information Management in a complex construction or infrastructure project/programme.
- Experience developing enterprise data products and supporting AI or advanced analytics initiatives.
- 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.
- Continuous improvement mindset with a focus on automation and innovation.
- Commitment to quality, sustainability, and secure data practices.
Skills
- Microsoft Fabric
- Azure Data Services
- SQL
- Power BI
- Data modelling
- Database design
- Metadata management
- Data architecture
- Data quality
- Data governance
- Data assurance
- Information security
- Cyber security
- Data protection
- Python
- Spark
- PySpark
- Databricks
- Cloud-native architectures
- DevOps
- CI/CD pipelines
- DataOps
Experience Level
- Senior
Education Level
- Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline
- Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent
- Equivalent demonstrable experience delivering complex data engineering solutions
About the Company
- 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.
- We believe everyone's contribution matters.
- We are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
- You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet.
- Make your mark, on your career, your colleagues, your clients, your life and the world around you.
- Together, we can create a lasting legacy.
- Join Arcadis. Create a Legacy.
Equal Opportunity
- We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions.
- Our ambition is to be an employer of choice and provide a great place to work for all our people.
- We believe that by working together diverse people with different experiences develop the most innovative ideas.
- Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race.
- A diverse and skilled workforce is essential to our success.