Senior Data Engineer in Cardiff

Responsibilities

• 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.
• Working collaboratively as part of a team while also being trusted to work independently 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 IT components and services are in place to accommodate developed solutions.
• Remaining aware of new data engineering approaches and suggesting 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.

Qualifications

• Relevant undergraduate degree (BSc) in computer science, mathematics or a related discipline, relevant long‑term experience or MCSA/MTA certification.
• Around 5 years' experience in database management, data architecture, or data platform management.
• At least 2 years' experience using a cloud‑based data stack (e. g. Azure, AWS, GCP).
• Enthusiasm for putting customers first every day.
• Substantial experience with 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).
• Experience with 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 (e. g. encryption, masking).
• Understanding of Dev Ops or other source control technologies – particularly code repositories and version control, containerisation methodologies, and application deployment practices (CI/CD pipelines).

Benefits

• Market‑competitive salary.
• 34 days annual leave (pro rata, including public holidays).
• Variable pay schemes – your salary will always stay the same, but you could receive a yearly bonus depending on company performance.
• Enhanced employer pension contributions – up to 11% employer contributions.
• Enhanced family‑friendly policies.
• Progression opportunities, including the ability to apply for funded training, coaching and mentoring programmes.
• Reduction on gym memberships and high‑street shopping.
• Cycl to work scheme and car‑leasing scheme.
• Health Cash Back scheme.
• Employee assistance programme for employees and their immediate family.

EEO Statement

To be able to deliver high‑quality, essential services which help to protect the health of our customers, colleagues and our environment, we need the right people to deliver on our vision.

This is achieved by living our core values and demonstrating the core behaviours that underpin them.

The security of our people, assets and information is key to us, so we are looking for people who understand and comply with the company's required security objectives.

We know that the most successful teams are the most diverse teams.

Equality, diversity and inclusion provide the very foundation to our culture at Welsh Water.

Applications are particularly welcome from minority groups including Black, Asian and Minority Ethnic people, Females, LGBT+, Non‑binary and people with disabilities.

Together we continue to build a workplace that not only celebrates the diverse voices of our colleagues but also represents each customer we serve.

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