Hybrid BI Data Engineer — Azure & Analytics

Jefferson Frank; Dartford; Hybrid; GBP 42,000 - 50,000; Full time

Benefits offered by this job

Hybrid work model

On-site 3 days/week

Job summary

Jefferson Frank is seeking a Data Engineer to join its Dartford team in a hybrid setup (3 days in the office). You will design, build and maintain data pipelines, optimise ETL processes and collaborate with stakeholders to enable robust BI and analytics capabilities.

The role requires strong SQL, Python, Azure data services (ADF/Synapse/Fabric), and data warehousing knowledge. You will contribute across the data lifecycle to shape the organisation's data landscape.

Qualifications

• Experience designing and managing data pipelines (ETL) across multiple sources.
• Strong SQL skills with large and complex datasets.
• Hands-on experience with Azure data technologies (ADF, Synapse, Fabric).
• Ability to translate business needs into scalable data solutions.

Responsibilities

• Design, develop and maintain ETL processes and data pipelines.
• Build and optimise data models to support reporting and analytics.
• Collaborate with stakeholders to gather requirements and deliver data solutions.
• Ensure data quality, governance, and documentation.

Skills

ETL design

Data modeling

Analytics

Stakeholder engagement

Data governance

SQL

Python

BI/Reporting

Tools

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Job description

Jefferson Frank is seeking a Data Engineer to join its Dartford team in a hybrid setup (3 days in the office). You will design, build and maintain data pipelines, optimise ETL processes and collaborate with stakeholders to enable robust BI and analytics capabilities.

The role requires strong SQL, Python, Azure data services (ADF/Synapse/Fabric), and data warehousing knowledge. You will contribute across the data lifecycle to shape the organisation's data landscape.