Anson McCade
Data Engineer - Hybrid
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer
A financial and professional services business is seeking a Data Engineer to strengthen the data foundations behind its reporting, analytics and AI initiatives. Based in Belfast, you will build and maintain reliable data pipelines, bring together information from internal systems and make trusted data available for business decision-making.
Working with analysts and business stakeholders, you will develop ETL/ELT processes, support data warehouses and data lakes, and improve the quality and performance of the organisation’s data platform.
What’s on offer
- Salary up to £60,000, depending on experience.
- Hybrid working with two days per week in the Belfast office.
- Company Benefits Pack
- Hands-on work with Microsoft Fabric, SQL Server and modern data integration tools.
- The opportunity to build pipelines that directly support new analytics, dashboard and AI use cases.
- Excellent career progression and skill up opportunities
- A collaborative environment with close interaction across data engineering, analytics and the wider business.
- First class modern company culture.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you need
- Experience in data engineering or a closely related role, with the ability to deliver independently.
- Strong SQL and Microsoft SQL Server skills, including database development, troubleshooting and performance optimisation.
- Hands-on experience designing, building and maintaining ETL/ELT pipelines and integrating data from multiple sources.
- Experience with Microsoft Fabric or a comparable cloud data platform, alongside hands-on cloud experience.
- A solid understanding of data warehouses, data lakes and dimensional modelling, including star and snowflake schemas.
- Experience with relevant integration and reporting tools such as Fabric Pipelines, Azure Data Factory, SSIS, SSRS, Fivetran, Alteryx or dbt.
- A practical understanding of data quality, governance, access controls and secure data handling.
- Strong communication skills and the ability to translate business requirements into reliable technical solutions.
- A proactive approach to problem-solving, clear documentation and collaboration with technical and non-technical colleagues.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Python experience would be advantageous but is not essential. Experience migrating legacy systems and working with financial or commercial data would also be beneficial.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London