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Data Engineer

DWR Cymru Cyfyngedig Welsh Water dwrcymru.com Open · verified Oct 24, 2026
Cardiff Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at DWR Cymru Cyfyngedig Welsh Water. Cardiff · £42,786–£48,912 base.

SalaryStated by DWR Cymru Cyfyngedig Welsh Water
£42,786 – £48,912
Base salary for this role, in GBP per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationCardiff
Base pay£42,786–£48,912
PostedAug 3, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design data solutions across on-premises and cloud environments, meeting architecture and security needs
  • Build and support data pipelines, investigating and resolving incidents
  • Deliver solutions from data-quality checks and testing through reviews, documentation and team demonstrations
  • Work with data teams and technical colleagues, bringing forward new approaches that could benefit the business

What you bring

  • Substantial hands-on experience designing and managing data pipelines
  • Strong Python and SQL skills, with a sound grasp of database administration and data transformation
  • You understand data protection methods, including access controls, encryption or masking
  • You can solve problems proactively and explain solutions to data colleagues and stakeholders

Who this fits

This mid-level role suits a data engineer who can work across existing SQL servers and cloud-based platforms while delivering secure, reliable pipelines. The role is hybrid, with office work required once a week, and flexible hours around a ten-to-three core period.

From the employer

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:

  1. 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.
  2. Building, maintaining and supporting data engineering pipelines, with resolution of incidents.
  3. End-to-end delivery of data engineering solutions, including data quality, testing, peer reviewing, documenting and demonstrating of completed solutions to the team.
  4. Working closely with teams within data and other technical colleagues across the business.
  5. 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
  6. Undertaking any other duties as required to meet the needs of the business.

About you

Essential Qualifications, Knowledge and Experience

  1. Substantial experience of data pipeline design and management
  2. Enthusiasm to add customer value whilst improving the effectiveness of the data engineering function
  3. Proactive problem solving and being able to effectively communicate solutions to both the data team, and to stakeholders
  4. Good understanding of database administration activities and principles
  5. Data transformation approaches
  6. Strong Python and SQL programming capabilities
  7. 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

  1. Familiarity with common agile project management principles, particularly in the context of data and analytical project delivery
  1. Good understanding of typical ingestion patterns (e.g. ETL, ELT) and their effective implementation with on-premises and cloud-based environments
  2. Knowledge of typical data modelling approaches (e.g. Kimball)
  3. Experience using the Microsoft data stack (especially Azure Data Lake, Azure Synapse, Azure Data Factory, Databricks)
  4. Experience of the full software/reporting lifecycle from planning and design through to deployment and maintenance
  5. Knowledge of the Microsoft BI Stack, including Analysis Services, Integration Services and Reporting Services, and Power BI
  6. 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 Craig.Hodges@dwrcymru.com 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering£40k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.