Data Engineer: Microsoft Fabric & Analytics Platform

Anson McCade Pty; Belfast City District; On-site; GBP 55,000 - 75,000; Full time

Job summary

Anson McCade is seeking a Data Engineer for a global financial services client in Belfast. You’ll design, build and maintain reliable data pipelines and data estates, collaborating with Power BI analysts, data scientists and business stakeholders.

You’ll work with Microsoft Fabric, integrating diverse data sources, and manage the full journey from ingestion to usable datasets. The role emphasizes data quality, governance and clear documentation to enable trusted analytics and reporting.

Qualifications

• At least three years’ experience in data engineering or a related role.
• Strong SQL, Python and database skills.
• Experience building ETL or ELT pipelines using dbt Cloud, Azure Data Factory or Fabric Pipelines.
• Hands-on cloud experience across Azure, AWS or GCP.
• Understanding of data warehousing and dimensional modelling.
• Strong problem-solving and communication skills, with an understanding of financial data.

Responsibilities

• Develop ETL and ELT pipelines for structured and unstructured data.
• Build and maintain data warehouses and data lakes.
• Deploy and manage data solutions in Microsoft Fabric.
• Improve database performance, storage and data availability.
• Develop dimensional models, including star and snowflake schemas.
• Embed data quality, governance, security and access controls.
• Translate business requirements into technical solutions and support colleagues through documentation and knowledge sharing.

Skills

SQL

Python

Databases

Tools

dbt Cloud

Azure Data Factory

Fabric Pipelines

Job description

Anson McCade is seeking a Data Engineer for a global financial services client in Belfast. You’ll design, build and maintain reliable data pipelines and data estates, collaborating with Power BI analysts, data scientists and business stakeholders.

You’ll work with Microsoft Fabric, integrating diverse data sources, and manage the full journey from ingestion to usable datasets. The role emphasizes data quality, governance and clear documentation to enable trusted analytics and reporting.