Data Engineer
Role details
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Tech stack
Job description
As a Data Engineer, you'll work with data from systems such as SAP, Salesforce and production environments, helping to ensure it is connected, structured and ready to support meaningful insight across the business. This is an opportunity to step into a role where you can build on solid foundations, while being challenged and supported to grow into a more senior position., * Design, build and maintain data pipelines using Azure Data Factory, with increasing ownership as you develop in the role
- Work with stakeholders and technical colleagues to support the development of scalable, reliable data models
- Contribute to the ongoing development of the data platform, including data lakes and integration of sources such as SAP, Salesforce and production systems
- Collaborate with the BI Developer to deliver accurate and engaging Power BI dashboards and reports
- Support data governance, data quality and best practice initiatives across the business
- Play an active role in improving how data is used across departments, helping to turn data into clear, actionable insight, * Exposure to enterprise data sources such as SAP, Salesforce or production systems
- Awareness of data governance, data quality or data privacy standards
- Experience contributing to improvements in data processes or standards
- Interest in mentoring, knowledge sharing, or taking on increased responsibility
Why This Role? This is an opportunity to join a business investing heavily in its data and analytics capability, where data is becoming central to decision-making and performance. You'll work with modern Azure technologies, a range of complex data sources, and a team that values both technical quality and practical business impact.
For someone looking to move beyond pure execution, this role offers genuine scope to grow. You'll gain exposure to data architecture, platform development and cross-functional collaboration, with the opportunity to take on greater ownership and responsibility as your experience develops.
Requirements
- Experience working with Azure Data Factory and cloud-based data environments
- Strong SQL skills for querying, transformation and optimisation
- Experience building or supporting data pipelines and ETL processes
- Exposure to data modelling and data warehousing concepts
- Working knowledge of Power BI or similar BI tools
- Ability to engage with stakeholders and translate business requirements into data solutions
- A proactive approach, with an interest in developing into a more senior or lead-level role over time