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# Senior Data Engineer

- **Company:** Dwr Cymru Cyf
- **Location:** Saint Mellons, UK
- **Experience:** Expert
- **Salary:** £47,492.0 - £54,618.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, DevOps, Python (Programming Language), Microsoft Data Access Components, Azure Data Lake, Software Deployment, SQL Databases, Google Cloud, Azure Data Factory, Information Technology, Azure Synapse Analytics, Software Version Control, Data Pipelines
- **Published:** July 10, 2026
- **Apply:** https://jobs.dwrcymru.com/talentcommunity/apply/1366175257/?locale=en_GB

## About the Role

* Relevant undergraduate degree (BSc) in computer science, mathematics or related discipline, relevant long-term experience or MCSA/MTA certification.
 * Around 5 years' experience in any of the following or related fields: database management, data architecture, data platform management
 * At least 2 years' experience using cloud-based data stack (e.g. Azure, AWS, GCP)
 * Enthusiastic about putting our customers first every day
 * Substantial experience of data pipeline design and management
 * Good understanding of database administration activities and principles
 * Good understanding of typical ingestion patterns (e.g. ETL, ELT) and their effective implementation with on-premise and cloud-based environments
 * Knowledge of typical data modelling approaches (e.g. Kimball)
 * Data transformation approaches
 * Strong Python and SQL programming capabilities
 * Experience using the Microsoft data stack (especially Azure Data Lake, Azure Synapse, Azure Data Factory)
 * Data security approaches - e.g. permission models (AD, role-based etc.) and techniques to protect data in certain circumstances (e.g. encryption, masking)
 * Understanding of DevOps (or other source control technologies) - particularly code repositories and version control, containerisation methodologies, and application deployment practices (CI/CD pipelines)

## Description

* Mentoring and supporting Data Engineers within the team, helping ensure developed solutions are robust, efficient and add business value
 * Designing and implementing data engineering projects on both on-premise and cloud based data stacks, delivering efficient solutions that comply with architectural and data security requirements
 * Being able to work collaboratively as part of a team, whilst also being trusted to work individually where necessary. Approaching collaborative projects with others in a positive manner to problem-solve, and identify viable solutions to overcome issues and challenges
 * Working closely with technical colleagues within key teams such as Integrated Technology Services (ITS) - to ensure relevant information technology components and services are in place to accommodate developed solutions.
 * Remain aware of new data engineering approaches, and be able to suggest how the latest research, techniques and approaches could be implemented to achieve business benefits
 * Undertaking any other duties as required to meet the needs of the business.


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