Hybrid BI Data Engineer: Azure ETL & Analytics

Nigel Frank; England; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Hybrid working

Exposure to BI & Analytics initiatives

Job summary

Nigel Frank is partnering with an international technology business to appoint a Data Engineer in Dartford. The role focuses on building data pipelines, optimizing processes and enabling high-quality BI for strategic decisions, with a hybrid model (3 days in the office).

You will work with stakeholders across departments to design scalable data solutions. Key requirements include experience with Azure data technologies (Azure Data Factory, Synapse Analytics, Fabric), SQL and Python, plus strong

Qualifications

• Strong analytical and problem-solving abilities with stakeholder engagement.
• Experience designing and optimizing data pipelines and analytics solutions.
• Solid understanding of data warehousing concepts and reporting best practices.

Responsibilities

• Design, develop and maintain ETL processes, data pipelines and integration solutions.
• Build and optimize data models to support reporting and analytics.
• Collaborate with stakeholders to gather requirements and translate them into scalable data solutions.
• Ensure data accuracy, governance and quality across BI environments.
• Support enhancement of reporting and analytics platforms.
• Produce and maintain technical data documentation and architecture standards.

Skills

Analytical skills

Stakeholder engagement

Problem solving

Tools

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Python

Job description

Nigel Frank is partnering with an international technology business to appoint a Data Engineer in Dartford. The role focuses on building data pipelines, optimizing processes and enabling high-quality BI for strategic decisions, with a hybrid model (3 days in the office).

You will work with stakeholders across departments to design scalable data solutions. Key requirements include experience with Azure data technologies (Azure Data Factory, Synapse Analytics, Fabric), SQL and Python, plus strong