Enterprise Data Solutions Engineer

JR United Kingdom; Warrington; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company is seeking an Enterprise Data Solutions Engineer to join its Warrington team. In this role, you will enhance the enterprise data environment, ensure integration between systems, and support the Master Data Management framework. Ideal candidates will have experience in data warehousing, ETL processes, and cloud platforms.

Qualifications

• Experience in developing and maintaining enterprise data warehouses.
• Proficiency in ETL processes and integration pipelines.
• Knowledge of master data management principles.

Responsibilities

• Maintain and optimize the enterprise data warehouse for reporting and analytics.
• Manage master data records for standardization and consistency.
• Develop and maintain ETL processes for data extraction and loading.

Skills

Data Warehousing

ETL Processes

Data Governance

Cloud Platforms

Problem Solving

Data Modeling

Education

Degree in Data Engineering or related field

Tools

Azure Synapse

AWS Redshift

Google BigQuery

Job description

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Enterprise Data Solutions Engineer, Warrington, Cheshire

Client: Lawfront

Location: Warrington, Cheshire

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 06.06.2025

Expiry Date: 21.07.2025

Job Description:

Lawfront provides legal services to individuals and businesses through leading regional law firms such as Farleys, Fisher Jones Greenwood, Brachers, Slater Heelis, and Nelsons.

We are currently experiencing a period of positive change and growth, creating numerous exciting opportunities across the group.

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 develop and maintain our enterprise data environment, ensuring smooth integration between legacy and modern applications, and supporting the Master Data Management (MDM) framework. Your work will support our data strategy and enterprise architecture, ensuring our data infrastructure is scalable, reliable, and aligned with business needs.

Key Responsibilities

1. Data Warehouse Maintenance & Development
2. Maintain and optimize the enterprise data warehouse for reporting, analytics, and operations.
3. Conduct performance tuning, updates, and enhancements for reliability and scalability.
4. Design and maintain efficient data integration pipelines between systems.
5. Ensure data consistency, quality, and accuracy across platforms.

1. Master Data Management (MDM)
2. Manage master data records for standardization and consistency.
3. Support MDM tools and processes.

1. ETL Development & Data Processing
2. Develop and maintain ETL processes for data extraction, transformation, and loading.
3. Monitor and troubleshoot data flow issues.

1. Data Governance & Quality Assurance
2. Maintain data governance standards and data quality through validation and cleansing.

1. Stakeholder Collaboration
2. Work with Data Architects, solution architects, and data owners to align data solutions with business strategies.
3. Collaborate with teams including Finance, Digital Applications, and Reporting to deliver data solutions.

1. Documentation & Knowledge Sharing
2. Document data models, integration flows, and procedures.

1. Technical Support & Troubleshooting
2. Provide support for data issues, collaborate to find root causes, and implement solutions.

Skills & Experience

• Experience in developing and maintaining enterprise data warehouses.
• Proficiency in ETL processes and integration pipelines.
• Knowledge of master data management principles.
• Familiarity with legacy and cloud-based environments.
• Strong analytical, problem-solving, and communication skills.
• Experience with cloud platforms like Azure Synapse, AWS Redshift, Google BigQuery.
• Understanding of data governance and data quality management.
• Skills in data modeling and database design.
• Experience in agile or hybrid environments.

Key Stakeholders

Internal: Data Architect, Solution Architects, Finance, Digital Applications, Reporting, Business Intelligence, Data Management Office, Data Owners, IT Support.

External: Vendors, service providers, third-party system integrators.

Core Values

Trust & Integrity, Results-Focused Execution, Innovative Thinking

Qualifications

Degree or relevant experience; professional certifications in data engineering, cloud platforms, or data management (e.g., Microsoft Azure, Google Cloud, DAMA).

To apply, click below and we will contact you.