Data Engineer – Cloud Data Pipelines (Hybrid)

Dŵr Cymru Welsh Water; Cardiff; Hybrid; GBP 43,000 - 49,000; Full time

Benefits offered by this job

Hybrid work arrangement

Office-based once a week

Job summary

Dŵr Cymru Welsh Water in Cardiff is seeking a Data Engineer to help evolve our cloud-based data platform. You will design and deliver data pipelines, support SQL Server-based analytics feeds, and enable data-led decision making across the business.

You'll build robust on-prem and cloud data stacks, ensure data quality and security, collaborate with data teammates and stakeholders, and stay current with new data engineering techniques.

Qualifications

• Substantial experience designing and managing data pipelines.
• Proactive problem solving and ability to explain solutions to data teams and stakeholders.
• Good understanding of database administration and data security approaches.
• Experience with data transformation techniques and on-prem/cloud stacks.
• Strong Python and SQL programming capabilities.
• Familiarity with Microsoft data stack tools and BI suites.

Responsibilities

• Design efficient data engineering projects across on-prem and cloud stacks.
• Build, maintain and support data pipelines; resolve incidents.
• Deliver end-to-end data solutions with data quality, testing and documentation.
• Collaborate with data teams and other technical colleagues across the business.
• Stay updated on new data engineering approaches and potential business benefits.
• Undertake other duties to meet business needs.

Skills

Python

SQL

Data pipelines

Data security

Database administration

Data transformation

Stakeholder communication

Tools

Azure Data Lake

Azure Synapse

Azure Data Factory

Databricks

Power BI

Microsoft BI Stack

Job description

Dŵr Cymru Welsh Water in Cardiff is seeking a Data Engineer to help evolve our cloud-based data platform. You will design and deliver data pipelines, support SQL Server-based analytics feeds, and enable data-led decision making across the business.

You'll build robust on-prem and cloud data stacks, ensure data quality and security, collaborate with data teammates and stakeholders, and stay current with new data engineering techniques.