Data Engineer

Data Engineer

£30,000 - £45,000

Liverpool (1-2 days a week in office)

If you enjoy building scalable data solutions and turning complex datasets into trusted business intelligence, this is an excellent opportunity to join a growing data function with strong visibility across the organisation. You will play a key role in shaping data infrastructure, supporting analytics, and driving better decision-making through high-quality data engineering practices

THE COMPANY

They are a well-established organisation delivering services across a large and diverse operational environment. Data is central to their decision-making, and they are continuing to invest in modern cloud-based data platforms and reporting capabilities. You will join a collaborative team that values knowledge sharing, continuous improvement, and innovation. The environment offers the opportunity to work with a range of stakeholders while making a measurable impact through data.

THE ROLE

As a Data Engineer, you will build scalable data pipelines and cloud-based data solutions using Azure Data Factory, Snowflake, SQL, and Power BI, helping drive data-led decision making across the business.

Specifically, you can expect to be involved in the following:

• Design, build, test, and maintain data pipelines to move data from multiple sources into a central data warehouse.
• Develop and maintain data models using modern cloud data technologies.
• Transform and structure raw data into curated datasets that support business intelligence and reporting.
• Apply data warehousing best practices to improve data accessibility, quality, and performance.
• Create trusted datasets, measures, and KPIs to support reporting and operational decision-making.
• Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable solutions.
• Support documentation, knowledge sharing, and continuous improvement across the data function.
• Contribute to data governance, data quality, and optimisation initiatives.

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

• Strong commercial experience with SQL and data modelling.
• Experience designing and managing ETL or ELT processes.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with Azure Data Factory and Snowflake.
• Experience working with Power BI and an understanding of DAX and Power Query.
• Understanding of data quality, governance, and performance optimisation.
• Exposure to collaboration and development tools such as GitHub, Jira, and Confluence.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Strong problem-solving skills and a proactive, adaptable approach to delivery.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £30,000 - £45,000 - depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.