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.
Key Responsibilities
- 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.
Skills & Experience Required
- 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.
Nice to Have
- Experience with SQL and/or SAS.
- Exposure to SAS VIYA, Jira, Fabric, or GitHub.
- 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.
