Data Engineer: Build Scalable Pipelines in Microsoft Fabric

TPT Retirement Solutions; Leeds; On-site; GBP 55,000 - 75,000; Full time

Job summary

TPT Retirement Solutions is seeking a Data Engineer to design, build, and maintain robust data pipelines and ELT processes. You’ll enhance data warehouse performance, automate processes, and support ingestion of new and legacy data into Microsoft Fabric.

You’ll work with Insights Analysts and the Governance team to ensure data standards, access controls, and data quality across reporting environments, while keeping comprehensive documentation up to date.

Qualifications

• Experience designing and implementing data pipelines using modern tools.
• Strong SQL and Python skills for data manipulation and automation.
• Experience with Fabric Dataflows Gen2, Data Factory, and notebooks.
• Knowledge of data governance, lineage, and lifecycle management.
• Excellent communication and ability to explain technical concepts to non-technical stakeholders.

Responsibilities

• Design, build, and maintain reliable data pipelines and ELT processes.
• Optimise data models, queries, and pipelines for speed and cost-efficiency.
• Implement checks, alerts, and monitoring to ensure data accuracy.
• Collaborate with Insights Analysts and Governance for data standards and access controls.
• Maintain up-to-date technical documentation for ETL and warehousing solutions.

Skills

SQL

Python

Data governance

Data quality

Communication

Problem solving

Tools

Microsoft Fabric

SSIS

Dataflows Gen2

Data Factory

Notebooks

Job description

TPT Retirement Solutions is seeking a Data Engineer to design, build, and maintain robust data pipelines and ELT processes. You’ll enhance data warehouse performance, automate processes, and support ingestion of new and legacy data into Microsoft Fabric.

You’ll work with Insights Analysts and the Governance team to ensure data standards, access controls, and data quality across reporting environments, while keeping comprehensive documentation up to date.