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_hidden*** 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.

Data Engineer

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