Data Engineer

You’ll play a key role in building and maintaining scalable data pipelines and infrastructure that support reporting, analytics and business decision-making. Working closely with Power BI analysts, data scientists and business stakeholders, you’ll help ensure data is accurate, secure, reliable and accessible.

This is an opportunity to contribute to the development of the company’s data capabilities, improve existing processes and help turn complex datasets into meaningful business insights., * Design, develop and maintain robust ETL/ELT data pipelines.

• Build data ingestion processes across multiple structured and unstructured sources.
• Develop and maintain data warehouses and data lakes.
• Optimise database performance, storage and data models.
• Implement data solutions using Microsoft Fabric and Microsoft SQL Server.
• Work with analysts and data scientists to support reporting and analytics.
• Translate business requirements into effective technical solutions.
• Maintain data quality, governance, security and access controls.
• Produce technical documentation and share knowledge across the team., * Hybrid working, with just two days per week in the Belfast office.
• Join an exciting, financial services business.
• Work closely with experienced data professionals and business stakeholders.
• Enjoy a collaborative, approachable culture with regular team socials and events.
• Opportunity to contribute to data engineering improvements and wider business decision-making.

If you’re a Data Engineer looking for a role where you can combine hands-on technical work with business impact in a collaborative financial services environment, we’d love to hear from you.

• At least 4 years’ experience in data engineering or a related role.
• Strong SQL and Python skills.
• Experience building and managing ETL/ELT pipelines.
• Experience with cloud platforms such as Azure, AWS or GCP.
• Knowledge of relational and non-relational databases.
• Understanding of data warehousing and dimensional modelling, including star and snowflake schemas.
• Experience with Microsoft Fabric, dbt Cloud, Azure Data Factory or similar tools would be beneficial.
• Strong analytical and problem-solving skills, ideally with an understanding of financial data.
• Confident communication skills and the ability to work with both technical and non-technical stakeholders.