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