Data Engineer
Help Shape the Future of Data at DAC Beachcroft
At DAC Beachcroft, data is becoming a strategic enabler across the business. As we continue to evolve our Data & Insight function beyond traditional reporting, we're investing in modern technologies, innovative thinking, and scalable data solutions that empower colleagues to make better decisions every day.
We're looking for a Data Engineer with hands-on Microsoft Fabric experience to join our growing team. This is an opportunity to play a key role in the development of our modern data platform, working with legal, finance, people and operational teams to deliver high-quality, trusted data solutions that support business performance and future growth.
You'll join a collaborative team at the centre of the firm's digital, data and AI transformation, helping to build scalable data products while influencing how data is utilised across a leading international law firm.
Why Join DAC Beachcroft?
- Be part of a significant investment in data, analytics and AI capabilities.
- Play a key role in building and shaping a modern Microsoft Fabric data platform.
- Work with complex, high-value data sets across an international professional services business.
- Access ongoing professional development and certification support.
- Benefit from flexible and hybrid working options through our Flex Forward approach.
- Join a supportive, sociable and collaborative data team.
As a Data Engineer, you'll work closely with Data Architects, Analysts and stakeholders across the business to design, build and maintain modern data solutions within Microsoft Fabric.
Key responsibilities will include:
Key responsibilities will include:
- Designing, developing and maintaining data pipelines and workflows using Microsoft Fabric, including Data Factory, Notebooks, Lakehouse and Warehouse components.
- Migrating existing on-premise and cloud-based data solutions into modern Fabric architectures.
- Developing and optimising data models to support analytics, reporting and business insight.
- Integrating data from multiple business systems, including finance, CRM and operational platforms.
- Building robust ELT/ETL processes that deliver high levels of data quality, consistency and performance.
- Collaborating with technical and non-technical stakeholders to translate business requirements into scalable solutions.
- Applying best practice in data governance, security and compliance within a regulated environment.
- Supporting continuous improvement of the firm's data platform, standards and engineering practices.
- Exploring new Microsoft Fabric capabilities and identifying opportunities to enhance the data estate.
We're interested in speaking with Data Engineers who combine strong technical capability with a collaborative and pragmatic approach.
Essential Experience
- Commercial experience working as a Data Engineer.
- Hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Notebooks and Power BI integration.
- Strong SQL skills and experience working with both relational and analytical data models.
- Experience building and maintaining ETL/ELT data pipelines.
- Knowledge of Azure data services and cloud-based data architectures.
- Understanding of data governance, security and data quality best practice.
- Strong problem-solving skills and attention to detail.
- The ability to communicate effectively with both technical and business stakeholders.
Desirable Experience
- Python or PySpark development within Microsoft Fabric.
- CI/CD practices for data engineering and data product delivery.
- Experience within legal services or another professional services environment.
- Exposure to systems such as Intapp, Elite 3E or VisualFiles.
- Knowledge of GDPR and data privacy requirements.
As a Disability Confident Scheme employer, we’re committed to providing an inclusive and accessible recruitment process. If you need any reasonable adjustments at any stage (including the application, assessment or interview process), please contact [email protected] in confidence with the vacancy reference in the subject line, and we’ll be happy to help.