Data Engineer

Data Engineer - Edinburgh / Hybrid, Excellent Salary + Benefits

Financial Services / Insurance Sector, Hybrid Working (2 days a week in the office).

Change Digital are working closely with a leading Financial Services organisation in the UK who are looking to appoint a Data Engineer to join their team in Edinburgh.

This is an excellent opportunity for a Data Engineer who enjoys working with complex datasets, stakeholder engagement, and building scalable data solutions that support business-critical decision making across the organisation.

The majority of the current data flow scripts are written in SAS, although broader SQL/data engineering experience is highly valued.

You will play a key role in building and maintaining data flows, acquisition processes, and high-performing data marts, helping to deliver a "single version of the truth" across the business.

• Building and maintaining scalable data pipelines and acquisition processes.
• Developing and supporting SQL-based applications and reporting solutions.
• Producing accurate and meaningful reports for stakeholders.
• Supporting data governance, quality, security, and performance initiatives.
• Troubleshooting and resolving data-related issues promptly.
• Delivering Data & BI requests within agreed SLAs.
• Working closely with technical and non-technical stakeholders across the organisation.
• Supporting the Data Engineering Lead(s) with project delivery and continuous improvement initiatives.

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Strong attention to detail and organisational skills.
• Ability to work effectively within tight deadlines.
• Experience building strong working relationships.
• Positive and proactive "can-do" attitude.
• Experience working within fast-paced environments.

• Experience with SQL and/or SAS.
• Exposure to SAS VIYA, Jira, Fabric, or Git Hub.
• Insurance or broader Financial Services experience.
• Understanding of data warehouse environments and data governance principles.
• STEM degree preferred but not essential.
• Previous managerial or leadership exposure beneficial.

This is a fantastic opportunity to join a well-established organisation investing heavily in data, analytics, and technology modernisation initiatives.