Lawfront provides legal services to individuals and businesses through leading regional law firms - Farleys, Fisher Jones Greenwood, Brachers, Slater Heelis and Nelsons.
We are currently going through an exciting period of positive change and growth, which is resulting in a number of fantastic opportunities across the group.
Currently, we are seeking to hire an Enterprise Data Solutions Engineer to join our team.
Purpose of the Role
As an Enterprise Data Solutions Engineer at Lawfront, you will play a key role in developing and maintaining our enterprise data environment, ensuring smooth integration between legacy and modern applications, and supporting the Master Data Management (MDM) framework.
Your work will directly support the organisation data strategy and enterprise architecture, ensuring our data infrastructure is scalable, reliable, and aligned with current and future business needs.
Key Responsibilities
1. Data Warehouse Maintenance & Development
Maintain and optimise the enterprise data warehouse to support reporting, analytics, and operational needs.
Conduct performance tuning, updates, and enhancements to ensure reliability and scalability.
2. Data Integration & Interoperability
Design and maintain efficient data integration pipelines between legacy systems and modern applications.
Ensure data consistency, quality, and accuracy across all integrated platforms.
3. Master Data Management (MDM)
Manage master data records to ensure standardisation and consistency across systems.
Support the adoption and optimisation of MDM tools and processes.
4. ETL Development & Data Processing
Develop and maintain ETL processes to extract, transform, and load data from diverse sources.
Monitor and troubleshoot data flow and processing issues.
5. Data Governance & Quality Assurance
Enforce data governance standards and ensure data quality is maintained through validation, cleansing, and transformation processes.
6. Stakeholder Collaboration
Work closely with the Enterprise Data Architect, solution architects, and data owners to align data solutions with business and technology strategies.
Collaborate actively with cross-functional teams including Finance, Digital Applications, and Enterprise Reporting to understand requirements, share insights, and deliver robust data solutions.
Contribute technical expertise to enterprise-wide data initiatives and transformation projects.
7. Documentation & Knowledge Sharing
Document data models, integration flows, and operational procedures.
Ensure documentation is accessible, accurate, and maintained for all stakeholders.
8. Technical Support & Troubleshooting
Provide expert-level support for data issues and incidents.
Collaborate with IT and business teams to identify root causes and implement effective resolutions.
Skills & Experience
Essential:
* Strong experience in developing and maintaining enterprise data warehouses.
* Proficiency in designing and managing ETL processes and integration pipelines.
* Practical knowledge of master data management principles.
* Familiarity with both legacy and cloud-based application environments.
* Attention to detail with strong analytical and problem-solving skills.
* Excellent communication and stakeholder engagement skills.
Desirable:
* Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery).
* Knowledge of data governance frameworks and data quality management.
* Competence in data modelling and database design techniques.
* Experience working in agile or hybrid delivery environments.
Key Stakeholders
Internal:
Enterprise Data Architect, Solution Architects, Finance Team, Digital Applications Team, Enterprise Reporting Team, Business Intelligence Team, Data Management Office, Business Data Owners, IT Support Teams.
External:
Vendors, service providers, and third-party system integrators.
Key Competencies & Behaviours
Trust & Integrity
Results-Focused Execution
Innovative Thinking
Effective Collaboration
Continuous Development
Qualifications
Essential:
Educated to degree level or with equivalent relevant experience.
Desirable:
Professional certifications in data engineering, cloud platforms, or data management (e.g., Microsoft Azure, Google Cloud, DAMA).
To apply please click below and we'll be in touch.