Data Engineer

Role: Data Engineer

Location: Edinburgh (80% Remote)

Salary: £40k-£45k

Key Skills:

• Azure Data Factory (ADF)
• SQL
• ETL
• CI/CD (Azure DevOps ideally)

We're working with a fast-growing software business looking to add a Data Engineer to their expanding engineering team. This is a fantastic opportunity for someone who enjoys working across the full lifecycle of data integration projects, from gathering requirements and designing solutions through to deployment, optimisation and ongoing support. You'll work closely with both internal teams and external customers, helping deliver scalable and reliable data solutions.

The Role

As a Data Engineer, you'll be responsible for building and maintaining data pipelines that connect customer systems with a cloud-based platform. You'll play a key role in designing integration solutions, collaborating with stakeholders, and ensuring data quality, performance and reliability.

Key Responsibilities

• Design, build and maintain ETL pipelines using Azure Data Factory (ADF)
• Work with customers and internal teams to gather and validate integration requirements
• Integrate data from a variety of sources including REST APIs, SQL databases and cloud platforms
• Deploy and manage data solutions using CI/CD best practices
• Collaborate with engineering and reliability teams to ensure data pipelines are scalable, observable and resilient
• Troubleshoot integration issues and optimise existing processes
• Contribute to best practices, standards and continuous improvement initiatives

Skills & Experience

Essential

• Commercial experience with Azure Data Factory (ADF)
• Strong understanding of ETL processes and data integration
• Experience working with SQL databases and REST APIs
• Comfortable in a customer-facing environment
• Strong problem-solving skills and attention to detail
• Experience using Git and CI/CD practices
• Excellent communication skills and ability to work with both technical and non-technical stakeholders

Desirable

• Azure Databricks experience
• Experience integrating with enterprise SaaS platforms
• Exposure to cloud-based data architectures
• Previous experience leading technical discussions with customers