Forsyth Barnes
Data Engineer
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Job Title
Reporting to the Data Manager, you’ll help design, build and improve the data platforms and infrastructure that support financial and operational insight across the business.
This is a hands-on role where you’ll work with data from multiple systems and sources, often with varying levels of structure, consistency and quality. Using technologies including Microsoft Fabric, Azure, Python, SQL and Power BI, you’ll build reliable, scalable and maintainable data solutions.
You’ll be involved in significant technology and transformation projects, developing and enhancing data pipelines, integrating new data sources, troubleshooting technical issues and improving the performance and reliability of existing solutions.
If you enjoy solving problems, working with modern cloud data technologies and seeing the direct impact of your work within a fast-moving business, this is a fantastic opportunity to make a real difference.
What You’ll Be Doing
As our Data Engineer, you will:
- Design, build and operate ELT/ETL data pipelines using Microsoft Fabric
- Design and develop data solutions within a Medallion Architecture (Bronze, Silver and Gold)
- Develop, optimise and maintain complex SQL queries to support reporting and analytics
- Integrate data from a variety of internal and external sources
- Manage and optimise lakehouses, warehouses and associated storage
- Implement data quality, testing and observability processes to ensure data is accurate, reliable and compliant
- Support data lineage and ensure stakeholders can trust the information available to them
- Enable self-service analytics through well-documented data models and transformation logic
- Monitor performance and proactively identify opportunities to improve our data infrastructure
- Troubleshoot incidents, complete root-cause analysis and deploy effective fixes
- Contribute to CI/CD practices, documentation and engineering standards
- Work closely with colleagues across IT and the wider business to deliver fit-for-purpose data solutions
- Continuously look for opportunities to improve our technology, processes and ways of working
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What We’re Looking For
We’re looking for someone with strong technical data engineering experience who is comfortable working in a fast-paced and evolving environment.
Ideally, you’ll bring:
- At least 5 years' experience across data engineering, data analytics and/or Business Intelligence
- Proficiency in Python and SQL
- Excellent knowledge of Microsoft Fabric and Power BI Service
- Experience building and operating data pipelines within Azure, including technologies such as ADF, Synapse and Fabric
- Strong understanding of Spark
- Experience working with complex and imperfect datasets
- Experience delivering technology projects within a fast-paced organisation
- Knowledge of version control, Azure DevOps and CI/CD best practices
- Understanding of Infrastructure-as-Code tools such as Terraform
- Knowledge of identity and secrets management and cloud cost optimisation
- Understanding of information management principles, processes and Master Data Management (MDM)
- Experience delivering solutions within appropriate development frameworks and methodologies, with consideration for ongoing supportability
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About You
Alongside your technical expertise, you’ll be someone who is naturally curious and enjoys getting to the root of a problem.
You’ll have:
- Excellent communication skills and the confidence to work with stakeholders at different levels
- Strong analytical and problem-solving abilities
- A proactive and inquisitive approach
- The ability to work independently and use your own initiative
- A collaborative working style
- Excellent attention to detail
- The ability to work effectively under pressure
- A logical, organised and self-motivated approach
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