Data Engineer

Job Requisition Number

9006

Work Type

Permanent

Job Function

Data / Knowledge Management

Salary Range

£42,786.00 -£48,912.00

Base

Closing Date

Linea (St Mellons, Cardiff) - Hybrid Options

23:59 on 17 August 2026

What you’ll be responsible for

This is an exciting role that will allow you to be integral to the evolution of our cloud-based enterprise data platform. As a Data Engineer, you will be working on technical solutions, whilst supporting our existing set of SQL Servers that are predominantly used to feed data into a number of analytics products. This will help the business with data-led decision making to provide essential public services.

Your responsibilities will include

• Designing efficient and robust data engineering projects within both on-premises and cloud-based data stacks that add business value and comply with architectural and data security requirements.
• Building, maintaining and supporting data engineering pipelines, with resolution of incidents.
• End-to-end delivery of data engineering solutions, including data quality, testing, peer reviewing, documenting and demonstrating of completed solutions to the team.
• Working closely with teams within data and other technical colleagues across the business.
• Remaining aware of new data engineering approaches, and be able to suggest how the latest research, techniques and approaches could be implemented to achieve business benefit
• Undertaking any other duties as required to meet the needs of the business.

About you

• Essential Qualifications, Knowledge and Experience
• Substantial experience of data pipeline design and management
• Enthusiasm to add customer value whilst improving the effectiveness of the data engineering function
• Proactive problem solving and being able to effectively communicate solutions to both the data team, and to stakeholders
• Good understanding of database administration activities and principles
• Data transformation approaches
• Strong Python and SQL programming capabilities
• Data security approaches – e.g. permission models (AD, role-based etc.) and techniques to protect data in certain circumstances (e.g. encryption, masking)
• Desirable Qualifications, Knowledge and Experience
• Familiarity with common agile project management principles, particularly in the context of data and analytical project delivery
• Good understanding of typical ingestion patterns (e.g. ETL, ELT) and their effective implementation with on-premises and cloud-based environments
• Knowledge of typical data modelling approaches (e.g. Kimball)
• Experience using the Microsoft data stack (especially Azure Data Lake, Azure Synapse, Azure Data Factory, Databricks)
• Experience of the full software/reporting lifecycle from planning and design through to deployment and maintenance
• Knowledge of the Microsoft BI Stack, including Analysis Services, Integration Services and Reporting Services, and Power BI
• Understanding of DevOps (or other source control technologies) – particularly code repositories and version control, containerisation methodologies, and application deployment practices (CI/CD pipelines)
• Good to know
• Hybrid based - requirement for office based work once a week.
• Flexi working around core business hours (10:00 to 15:00), most of the team work 09:00 to 17:00
• For an informal discussion about this opportunity, please contact [email protected] quoting the job ID [9006] in the subject line of your email.
• Dŵr Cymru Cyf, a limited company registered in Wales No. 2366777. Registered office: Linea, Fortran Road, St. Mellons, Cardiff CF3 0LT
• © Dŵr Cymru Cyf 2019.